[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 

Topic Editors

School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, China
School of Architecture and Urban Planning, Chongqing University, Chongqing 400045, China
School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, China
Department of Architecture, National University of Singapore, 4 Architecture Drive, Singapore 117566, Singapore
Faculty of Forestry, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Dr. Shi Cheng
School of Architecture, Southeast University, Nanjing 210018, China

Biophilic Cities and Communities: Towards Natural Resources, Environmental and Social Sustainability

Abstract submission deadline
closed (31 December 2023)
Manuscript submission deadline
closed (30 April 2024)
Viewed by
81530

Image courtesy of TE Dr. Xin-Chen Hong

Topic Information

Dear Colleagues,

Biophilic design is a design philosophy that encourages the use of natural and sustainable systems to enhance the built environment at multiple scales (e.g., building, site, city and regional) (Gillis and Gatersleben, 2015). Currently, and with increasing frequency, a host of biophilic programs, policies and initiatives are being developed in many cities, facilitating natural resources conservation and environmental and social sustainability in the built environment. The increasing trend demonstrates that biophilic perspectives on cities and communities have profound connotations worthy of further exploration. Nevertheless, enhancing the built environment to create biophilic cities and communities is still challenging.

Thus, we propose the topic, “Biophilic Cities and Communities: Towards Natural Resources, Environmental and Social Sustainability”. It is expected to bring together researchers who are working on related topics and encourage them to share their latest accomplishments and research findings. We welcome submissions of original research articles, reports or technical notes, reviews and mini-reviews covering topics including but not limited to the following.

(i) Biophilic urbanism and processes

  • Smart cities and communities
  • Land use/cover change
  • Spatial-temporal trends
  • Geodesign
  • Urban landscape pattern
  • Bioclimatic design
  • Sustainable urban-rural planning
  • Built environment assessment

(ii) Natural resources conservation and management

  • Urban ecosystem
  • Ecological pattern and process
  • Environmental education and policies
  • Protected areas
  • Forest management
  • Edible landscaping
  • Nature-based solutions
  • Green sites and regions

(iii) Computational social science and human behavior

  • Environmental behavior and local practice
  • Experience in multi-sensory interaction
  • Social and historical sensing
  • Public health and green exercise
  • Mental health and wellbeing
  • Economic and cultural sustainability
  • Big data and cognitive computing

Gillis, K., Gatersleben, B., A review of psychological literature on the health and wellbeing benefits of biophilic design, Buildings, 2015, 5(3):948–963.

Dr. Xin-Chen Hong
Prof. Dr. Baojie He
Prof. Dr. Jiang Liu
Dr. Jinda Qi
Dr. Guangyu Wang
Dr. Shi Cheng
Topic Editors

Keywords

  • environment assessment
  • bioclimatic design
  • remote sensing
  • human behaviour and health
  • social sensing
  • green building
  • urban ecosystem
  • land-use policy
  • resource management
  • big data
  • sustainability

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Buildings
buildings
3.1 3.4 2011 15.3 Days CHF 2600
Forests
forests
2.4 4.4 2010 16.2 Days CHF 2600
Land
land
3.2 4.9 2012 16.9 Days CHF 2600
Remote Sensing
remotesensing
4.2 8.3 2009 23.9 Days CHF 2700
Smart Cities
smartcities
7.0 11.2 2018 28.4 Days CHF 2000
Sustainability
sustainability
3.3 6.8 2009 19.7 Days CHF 2400

Preprints.org is a multidiscipline platform providing preprint service that is dedicated to sharing your research from the start and empowering your research journey.

MDPI Topics is cooperating with Preprints.org and has built a direct connection between MDPI journals and Preprints.org. Authors are encouraged to enjoy the benefits by posting a preprint at Preprints.org prior to publication:

  1. Immediately share your ideas ahead of publication and establish your research priority;
  2. Protect your idea from being stolen with this time-stamped preprint article;
  3. Enhance the exposure and impact of your research;
  4. Receive feedback from your peers in advance;
  5. Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (37 papers)

Order results
Result details
Journals
Select all
Export citation of selected articles as:
18 pages, 7096 KiB  
Article
Balancing Environmental Impact and Practicality: A Case Study on the Cement-Stabilized Rammed Earth Construction in Southeast Rural China
by Shan Dai, Wenfeng Bai and Jing Xiao
Sustainability 2024, 16(20), 8731; https://doi.org/10.3390/su16208731 - 10 Oct 2024
Viewed by 2096
Abstract
Construction using earth materials demonstrates ecological sustainability using locally sourced natural materials and environmentally friendly demolition methods. In this study, the environmental impact of adding cement to soil materials for rammed earth farmhouse construction in rural China was investigated and comparatively simulated using [...] Read more.
Construction using earth materials demonstrates ecological sustainability using locally sourced natural materials and environmentally friendly demolition methods. In this study, the environmental impact of adding cement to soil materials for rammed earth farmhouse construction in rural China was investigated and comparatively simulated using the One Click LCA database, focusing on the conflict between sustainability objectives and the practical aspects of cement addition. By analyzing how the addition of cement aligns with local construction practices and addressing the debate surrounding the inclusion of cement in rammed-earth construction, our objective is to provide insights into achieving a balance between the environmental impact and the pragmatic considerations of using cement in earthen building practices. Three local structure scenarios are evaluated via simulations: cement-stabilized rammed earth wall, fired brick wall, and a localized reinforced concrete frame structure. The quantitative environmental impacts are assessed, and the qualitative differences in adaptation, economic sustainability, and other factors are examined in the context of present-day development in rural China. The results show that the use of cement-stabilized rammed earth wall-supported structures is associated with higher embodied carbon emissions compared to structures supported by reinforced concrete frames and enclosed by brick walls; however, these emissions are lower than those for brick wall-supported structures while effectively meeting the structural requirements. In addition, the use of cement-stabilized earth for perimeter walls simplifies material management and disposal throughout the building’s life cycle, and the cost-effectiveness of cement has been found to be substantially greater than that of reinforced concrete frames and brick structures, improving economic viability and social acceptability, especially among low-income communities in rural areas Full article
Show Figures

Figure 1

Figure 1
<p>Model of the three blocks under comparison.</p>
Full article ">Figure 2
<p>Simulated annual daylight factor for the standard layout plan of the three blocks.</p>
Full article ">Figure 3
<p>Embodied carbon benchmarking for a single block built with an envelope. (<b>a</b>) A 380 mm thick fired brick wall, (<b>b</b>) 350 mm thick rammed earth wall, and (<b>c</b>) reinforced concrete framing structure and 200 mm thick fired brick wall, which corresponds to the parameters in <a href="#sustainability-16-08731-t002" class="html-table">Table 2</a>.</p>
Full article ">Figure 4
<p>The image on the left shows the present-day depiction of the village before the project commenced in 2021, while the image on the right showcases the village landscape circa 2008.</p>
Full article ">Figure 5
<p>Interior condition of an existing rammed earth dwelling in the village.</p>
Full article ">Figure 6
<p>Microclimate data included external air temperature (°C) and relative humidity (%) from CBE climate tool and on−site. (<b>a</b>) is the climate data analysis derived from the CBE climate tool [<a href="#B84-sustainability-16-08731" class="html-bibr">84</a>]. (<b>b</b>) Top is the outdoor temperature and relative humidity derived from in−situ monitoring by HOBO sensors in winter. Bottom is the discrepancies of external dry bulb air temperature and relative humidity between adjacent county’s climate data from CBE climate tool, Daoxian, CHN, and the climate data monitored on−site in the village.</p>
Full article ">Figure 6 Cont.
<p>Microclimate data included external air temperature (°C) and relative humidity (%) from CBE climate tool and on−site. (<b>a</b>) is the climate data analysis derived from the CBE climate tool [<a href="#B84-sustainability-16-08731" class="html-bibr">84</a>]. (<b>b</b>) Top is the outdoor temperature and relative humidity derived from in−situ monitoring by HOBO sensors in winter. Bottom is the discrepancies of external dry bulb air temperature and relative humidity between adjacent county’s climate data from CBE climate tool, Daoxian, CHN, and the climate data monitored on−site in the village.</p>
Full article ">Figure 7
<p>The internal structure of the earthen walls in the village’s traditional rammed earth buildings shows remnants of the traditional formwork and scaffolding used in construction.</p>
Full article ">Figure 8
<p>Water resistance performance of rammed earth walls with and without the addition of cement in a harsh construction environment and in high humidity and light rain. (<b>a</b>) shows the preserved existing rammed earth wall at the beginning of construction; (<b>b</b>) shows the collapse of an area of retained traditional rammed earth wall due to sudden rainfall during construction; (<b>c</b>) shows the re-mixing of collapsed earth wall materials and re-laying of masonry in the form of adobe bricks in the collapsed position, connecting the new rammed earth wall with the retained rammed earth wall; (<b>d</b>) shows the relatively high resistance performance of the new rammed earth wall in the face of a wet and watery construction environment.</p>
Full article ">Figure 9
<p>Living habitats in the village studied.</p>
Full article ">
31 pages, 7854 KiB  
Article
Coupling and Coordination Development, Spatiotemporal Evolution, and Driving Factors of China’s Digital Countryside and Inclusive Green Growth in Rural Areas
by Liupeng Chen, Yiting Wang, Yingzheng Yan, Ziwei Zhou, Bangsheng Xie and Xiaodong You
Sustainability 2024, 16(13), 5583; https://doi.org/10.3390/su16135583 - 29 Jun 2024
Viewed by 1409
Abstract
Inclusive green growth is an effective strategy for achieving sustainable development in rural areas. In the digital economy era, it is crucial to examine whether rural digital development and inclusive green growth can be harmoniously integrated. This study investigates the spatial and temporal [...] Read more.
Inclusive green growth is an effective strategy for achieving sustainable development in rural areas. In the digital economy era, it is crucial to examine whether rural digital development and inclusive green growth can be harmoniously integrated. This study investigates the spatial and temporal evolution of the coupled coordination between digital village construction and rural inclusive green growth in China. Utilizing panel data from 30 provinces from 2011 to 2022, we assess development levels using the entropy weighting method and analyze interdependencies with a coupling coordination model. The results indicate an upward trend in coupling coordination, with significant regional disparities, and it is slowly taking on the characteristics of spatial clustering. Economically advanced regions exhibit higher coordination levels, attributed to stronger economic foundations and better fiscal resources, enabling effective investments in digital infrastructure and green growth initiatives. Additionally, factors such as urbanization rate, innovation levels, reduction in natural disasters, increased financial support for agriculture, and improved large-scale operations positively contribute to this coordination. These findings offer insights for targeted regional development strategies, enhancing the synergy between digital transformation and sustainable rural development. Full article
Show Figures

Figure 1

Figure 1
<p>The mechanism diagram of coupling coordination between digital village construction and rural inclusive green growth.</p>
Full article ">Figure 2
<p>Mean and growth rate of the Provincial Digital Village Index and the Rural Inclusive Green Growth Index, 2011–2021. (The horizontal axis represents the year, and the vertical axis represents the numerical value).</p>
Full article ">Figure 3
<p>Digital rural development and rural inclusive green development means by region, 2011–2021. (The horizontal axis represents the year, and the vertical axis represents the numerical value).</p>
Full article ">Figure 4
<p>Digital rural development and rural inclusive green development means by region, 2011–2021. (The horizontal axis represents the specific classification of inclusive green development, while the vertical axis represents numerical values.)</p>
Full article ">Figure 5
<p>Harmonization of the coupling of digital villages and inclusive green growth in villages by region, 2011–2021. (The horizontal axis represents the year, and the vertical axis represents the numerical value).</p>
Full article ">Figure 6
<p>Degree of harmonization of the coupling of digital villages and rural inclusive green growth in each region under the revised model, 2011–2021. (The horizontal axis represents the year, and the vertical axis represents the numerical value).</p>
Full article ">Figure 7
<p>The temporal and spatial evolution of coupling coordination degree and its adjusted values between digital village construction and rural inclusive green growth in China (2011, 2016, 2022). Note: Based on standard maps from the Ministry of Natural Resources Standard Map Service website, GS (2023) 2767 (<a href="http://211.159.153.75/browse.html?picId=%224o28b0625501ad13015501ad2bfc2187%22" target="_blank">http://211.159.153.75/browse.html?picId=%224o28b0625501ad13015501ad2bfc2187%22</a>, accessed on 16 May 2024), with no modifications to the base map boundaries.</p>
Full article ">Figure 8
<p>Kernel density map of the coupled harmonization of digital village construction and rural inclusive green growth in the western region.</p>
Full article ">Figure 9
<p>Kernel density map of coupled harmonization of digital village construction and rural inclusive green growth in the central region.</p>
Full article ">Figure 10
<p>Kernel density map of coupled harmonization of digital village construction and rural inclusive green growth in the eastern region.</p>
Full article ">Figure 11
<p>Kernel density plot of the coupled harmonization of digital village construction and rural inclusive green growth in China.</p>
Full article ">
14 pages, 39525 KiB  
Article
Exploring the Long-Term Changes in Visual Attributes of Urban Green Spaces Using Point Clouds
by Xiaohan Zhang, Yuhao Fang, Guanting Zhang and Shi Cheng
Land 2024, 13(6), 884; https://doi.org/10.3390/land13060884 - 18 Jun 2024
Viewed by 1001
Abstract
The visual attributes of urban green spaces influence people’s perceptions, preferences, and behavioural activities. While many studies have established correlations between landscape perception and visual attributes, they often focus on specific timeframes and overlook dynamic changes in the spatial form of urban green [...] Read more.
The visual attributes of urban green spaces influence people’s perceptions, preferences, and behavioural activities. While many studies have established correlations between landscape perception and visual attributes, they often focus on specific timeframes and overlook dynamic changes in the spatial form of urban green spaces. This study aims to explore the long-term changes in the visual attributes of urban green spaces. We propose a method to quantitatively analyse changes in visual attributes using point clouds to simulate visual interfaces. Using an unmanned aerial vehicle, we conducted a five-axis tilt photography survey of Qinglvyuan Park in Nanjing, China, in August 2018 and September 2023. Point cloud models were generated for the two periods, and five visual attribute indicators, openness (OP), depth variance (DV), green view ratio (GVR), sky view ratio (SVR), and skyline complexity (SC), were analysed for long-term changes. The results indicate that OP, DV, and SVR decreased after five years, while GVR increased. The maximum increase in GVR was 26.6%, and the maximum decrease in OP was 12.8%. There is a positive correlation between GVR and its change (d_GVR). Conversely, there are negative correlations between SC and its change (d_SC), as well as between SVR and d_GVR. Tree growth emerged as a primary factor influencing changes in the visual attributes of urban green spaces. This study highlights the importance of adopting a long-term and dynamic perspective in visual landscape studies, as well as in landscape design and maintenance practices. Future research on predicting long-term changes in the visual attributes of urban green spaces should focus on understanding the relationships between tree properties and environmental conditions. Full article
Show Figures

Figure 1

Figure 1
<p>A workflow to analyse long-term changes in the visual attributes of urban green spaces. The red dots represent the location of the viewpoints of the spatial samples.</p>
Full article ">Figure 2
<p>Spatial sample selection of Qinglvyuan Park.</p>
Full article ">Figure 3
<p>Differences between the point cloud models of the two periods.</p>
Full article ">Figure 4
<p>Comparison of visual attribute indicators before and after five years.</p>
Full article ">
24 pages, 7969 KiB  
Article
Exploring the Relationships between Mini Urban Green Space Layout and Human Activity
by Shi Cheng, Dunsong Zhang, Yijing Wang and Xiaohan Zhang
Land 2024, 13(6), 871; https://doi.org/10.3390/land13060871 - 17 Jun 2024
Cited by 1 | Viewed by 1589
Abstract
The quality of urban green space has an impact on the health and well-being of populations. Previous studies have shown that consideration of crowd activity characteristics is the key premise of landscape space design and planning. However, there is limited research on the [...] Read more.
The quality of urban green space has an impact on the health and well-being of populations. Previous studies have shown that consideration of crowd activity characteristics is the key premise of landscape space design and planning. However, there is limited research on the correlation between features of the spatial layout of Mini Urban Green Spaces (MUGS) and the behavior of people, and it is difficult to take into account the possible distribution of people and their activity characteristics during the design phase of MUGS. This study aims to construct a technical workflow utilizing the AnyLogic platform and agent-based simulation methods for analyzing the characteristics of landscape spatial layouts considering dynamic human behavior. One MUGS, named 511 Park in Nanjing, China, was selected as the case for the application of the method and exploration of the impacts of spatial elements and layout on crowd activity types and density. We investigated the impact of four types of spatial elements—paths, facilities, nodes, and entrances—on human activities in MUGS. The results showed that path layout emerged as the most significant influencing factor. Changes in nodes and the number of facilities have a relatively minor impact on people’s activities. There was an apparent impact of changes in path orientation around nodes on the dynamics of the flow of people. This study could provide valuable insights for landscape designers, aiding informed decision-making during the construction, renovation, and management of MUGS. Full article
Show Figures

Figure 1

Figure 1
<p>Research workflow.</p>
Full article ">Figure 2
<p>Study area.</p>
Full article ">Figure 3
<p>Site modeling logic and final modeling scenarios.</p>
Full article ">Figure 4
<p>Crowd activity modeling logic and corresponding usage modules.</p>
Full article ">Figure 5
<p>Site classification mockups.</p>
Full article ">Figure 6
<p>Impact of changes in the layout of the four spatial elements on pedestrian activity.</p>
Full article ">Figure 7
<p>Status quo crowd modeling results.</p>
Full article ">Figure 8
<p>Changes in the layout of spatial elements and changes in the pattern of change of human flow activities: (<b>a</b>) Simulation results of nodes; (<b>b</b>) Simulation results of statistical lines; (<b>c</b>) Simulation results of various activities of the crowd within each node.</p>
Full article ">Figure 9
<p>Node-specific—path change simulation (orientation, number, width) schematic.</p>
Full article ">Figure 10
<p>Visualization results of people flow changes in different path layouts—An example of node B.</p>
Full article ">Figure 11
<p>Impact of changes in spatial characteristics of paths on pedestrian activity.</p>
Full article ">Figure 12
<p>Changes in spatial characteristics of paths and patterns of change in pedestrian activities: (<b>a</b>) Simulation results for path layout changes at Node A; (<b>b</b>) Simulation results for path layout changes at Node B; (<b>c</b>) Simulation results for path layout changes at Node E; (<b>d</b>) Simulation results for path width changes at Node B; (<b>e</b>) Simulation results for path width changes at Node A.</p>
Full article ">Figure 12 Cont.
<p>Changes in spatial characteristics of paths and patterns of change in pedestrian activities: (<b>a</b>) Simulation results for path layout changes at Node A; (<b>b</b>) Simulation results for path layout changes at Node B; (<b>c</b>) Simulation results for path layout changes at Node E; (<b>d</b>) Simulation results for path width changes at Node B; (<b>e</b>) Simulation results for path width changes at Node A.</p>
Full article ">
18 pages, 2747 KiB  
Hypothesis
Relationships between Green Space Perceptions, Green Space Use, and the Multidimensional Health of Older People: A Case Study of Fuzhou, China
by Yuanjing Wu, Wei Zhou, Huimin Zhang, Qunyue Liu, Zhao Yan and Siren Lan
Buildings 2024, 14(6), 1544; https://doi.org/10.3390/buildings14061544 - 27 May 2024
Viewed by 1798
Abstract
Urban green spaces are vital for older people’s health. However, most studies have only focused on their relationship with single-dimensional health outcomes. This study introduced a theoretical model to explore how perceptions of green spaces influence older people’s multidimensional health, mediated by the [...] Read more.
Urban green spaces are vital for older people’s health. However, most studies have only focused on their relationship with single-dimensional health outcomes. This study introduced a theoretical model to explore how perceptions of green spaces influence older people’s multidimensional health, mediated by the use of these spaces. Using a literature review, interviews, and surveys, we developed and refined a measurement scale for older people’s perceptions of urban greenery. Using data from 513 seniors in Fuzhou’s urban parks, structural equation modeling was used to examine the relationships between their multidimensional health, usage, and perceptions of green spaces. The results showed that older people’s positive evaluations of green spaces, especially those with facilities, significantly increased their usage. This increased usage positively influences their physical, mental, and social health, with the most pronounced benefits for social health. The total impact of green space perception on multidimensional health was beneficial and significantly impacted social health, even though the direct impacts of quality perception on physical health and facility perception on social health were minimal. These findings enhance our understanding of the impact of green spaces on the health of older individuals and provide a theoretical basis for developing urban green spaces that maximize health advantages for older people. Full article
Show Figures

Figure 1

Figure 1
<p>Study area.</p>
Full article ">Figure 2
<p>Hypothetical model.</p>
Full article ">Figure 3
<p>Standard estimates of the structural equation model path analysis.</p>
Full article ">
26 pages, 44194 KiB  
Article
An Evaluation Model of Urban Green Space Based on Residents’ Physical Activity
by Tian Dong, Churan Feng, Bangguo Yue and Zhengdong Zhang
Sustainability 2024, 16(10), 4220; https://doi.org/10.3390/su16104220 - 17 May 2024
Viewed by 1689
Abstract
Urban green spaces (UGSs) possess a status in improving public health; thus, it is crucial to emphasize the evaluation of UGSs in terms of residents’ physical activity (PA). This study utilizes the semantic segmentation method and Geographic Information System tools to quantify the [...] Read more.
Urban green spaces (UGSs) possess a status in improving public health; thus, it is crucial to emphasize the evaluation of UGSs in terms of residents’ physical activity (PA). This study utilizes the semantic segmentation method and Geographic Information System tools to quantify the key values of UGSs, including aesthetic and attractions, natural world experience, nature conservation, encouraging physical activity, cultural value, and social value, which are set as the evaluation indexes to investigate their impacts on residents’ PA based on the six UGSs in Changsha city, Hunan Province, China. The PA-oriented UGS evaluation model is realized through the index optimal combination weights obtained by the Improved Combination Weighting Method of Game Theory, combining the subjective and objective weights from the Uncertainty Analytic Hierarchy Process method and Entropy Weight Method, respectively. By collecting and analyzing the exercise data of residents, we can accurately assess the level of residents’ PA and frequency within various UGSs. The proposed model herein has a positive significance for evaluating the value of public green space in residents’ PA in Changsha city and provides a reference for the construction of an urban green space evaluation model from multiple perspectives in the future. Full article
Show Figures

Figure 1

Figure 1
<p>Location of the research object.</p>
Full article ">Figure 2
<p>Semantic segmentation process. (<b>A</b>) Input images; (<b>B</b>) Images after classification; (<b>C</b>) Proportion of primary landscape elements.</p>
Full article ">Figure 3
<p>The proportion distribution of individual features in the six UGSs.</p>
Full article ">Figure 4
<p>Route records and their frequency in the six UGSs.</p>
Full article ">Figure 5
<p>The flowchart of proposed evaluation model.</p>
Full article ">Figure 6
<p>Accessibility map of six UGSs.</p>
Full article ">Figure 7
<p>The comparison of obtained weights of primary indexes.</p>
Full article ">Figure 8
<p>The comparison of obtained weights of secondary indexes.</p>
Full article ">
31 pages, 14510 KiB  
Article
Combined Effects of the Visual–Acoustic Environment on Public Response in Urban Forests
by Yuxiang Lan, Yuanyang Tang, Zhanhua Liu, Xiong Yao, Zhipeng Zhu, Fan Liu, Junyi Li, Jianwen Dong and Ye Chen
Forests 2024, 15(5), 858; https://doi.org/10.3390/f15050858 - 14 May 2024
Cited by 1 | Viewed by 1463 | Correction
Abstract
Urban forests are increasingly recognized as vital components of urban ecosystems, offering a plethora of physiological and psychological benefits to residents. However, the existing research has often focused on single dimensions of either visual or auditory experiences, overlooking the combined impact of audio–visual [...] Read more.
Urban forests are increasingly recognized as vital components of urban ecosystems, offering a plethora of physiological and psychological benefits to residents. However, the existing research has often focused on single dimensions of either visual or auditory experiences, overlooking the combined impact of audio–visual environments on public health and well-being. This study addresses this gap by examining the effects of composite audio–visual settings within three distinct types of urban forests in Fuzhou, China: mountain, mountain–water, and waterfront forests. Through field surveys and quantitative analysis at 24 sample sites, we assessed visual landscape elements, soundscapes, physiological indicators (e.g., heart rate, skin conductance), and psychological responses (e.g., spiritual vitality, stress relief, emotional arousal, attention recovery) among 77 participants. Our findings reveal that different forest types exert varying influences on visitors’ physiology and psychology, with waterfront forests generally promoting relaxation and mountain–water forests inducing a higher degree of tension. Specific audio–visual elements, such as plant, water scenes, and natural sounds, positively affect psychological restoration, whereas urban noise is associated with increased physiological stress indicators. In conclusion, the integrated effects of audio–visual landscapes significantly shape the multisensory experiences of the public in urban forests, underscoring the importance of optimal design that incorporates natural elements to create restorative environments beneficial to the health and well-being of urban residents. These insights not only contribute to the scientific understanding of urban forest impact but also inform the design and management of urban green spaces for enhanced public health outcomes. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Location of Fujian Province in map of China; (<b>b</b>) Location of Fuzhou City in map of Fujian; (<b>c</b>) Study site selection of urban forests in Fuzhou.</p>
Full article ">Figure 2
<p>(<b>a</b>) Study site selection of Jinniushan Sports Park; (<b>b</b>) Study site selection of Fuzhou National Forest Park; (<b>c</b>) Study site selection of Xihu Park.</p>
Full article ">Figure 3
<p>(<b>a</b>) Plots of Jinniushan Sports Park; (<b>b</b>) Plots of Fuzhou National Forest Park; (<b>c</b>) Plots of Xihu Park.</p>
Full article ">Figure 4
<p>Scene image semantic segmentation graph.</p>
Full article ">Figure 5
<p>Procedure.</p>
Full article ">Figure 6
<p>Average and change values of HR in Fuzhou urban forests.</p>
Full article ">Figure 7
<p>Average and change value of HR in mountain forest.</p>
Full article ">Figure 8
<p>Average and variation of HR in mountain–water forest.</p>
Full article ">Figure 9
<p>Average and change value of HR in waterfront forest.</p>
Full article ">Figure 10
<p>Average value and change value of heart rate balance ratio (LF/HF) in Fuzhou urban forests.</p>
Full article ">Figure 11
<p>Average value and change value of heart rate balance ratio (LF/HF) in mountain forest.</p>
Full article ">Figure 12
<p>Average value and change value of heart rate balance ratio (LF/HF) in mountain–water forest.</p>
Full article ">Figure 13
<p>Average value and change value of heart rate balance ratio (LF/HF) in waterfront forest.</p>
Full article ">Figure 14
<p>Average value of EDA in Fuzhou urban forests.</p>
Full article ">Figure 15
<p>Average value and change value of EDA in mountain forest.</p>
Full article ">Figure 16
<p>Average value and change value of EDA in mountain–water forest.</p>
Full article ">Figure 17
<p>Average value and change value of EDA in waterfront forest.</p>
Full article ">Figure 18
<p>Comparative analysis of spiritual vitality in forests. Note: <span class="html-fig-inline" id="forests-15-00858-i001"><img alt="Forests 15 00858 i001" src="/forests/forests-15-00858/article_deploy/html/images/forests-15-00858-i001.png"/></span> mild outlier.</p>
Full article ">Figure 19
<p>Comparative analysis of spiritual vitality in sample sites. Note: <span class="html-fig-inline" id="forests-15-00858-i001"><img alt="Forests 15 00858 i001" src="/forests/forests-15-00858/article_deploy/html/images/forests-15-00858-i001.png"/></span> mild outlier.</p>
Full article ">Figure 20
<p>Comparative analysis of stress relief in forests.</p>
Full article ">Figure 21
<p>Comparative analysis of stress relief in sample sites. Note: <span class="html-fig-inline" id="forests-15-00858-i001"><img alt="Forests 15 00858 i001" src="/forests/forests-15-00858/article_deploy/html/images/forests-15-00858-i001.png"/></span> mild outlier.</p>
Full article ">Figure 22
<p>Comparative analysis of emotional arousal in forests. Note: <span class="html-fig-inline" id="forests-15-00858-i001"><img alt="Forests 15 00858 i001" src="/forests/forests-15-00858/article_deploy/html/images/forests-15-00858-i001.png"/></span> mild outlier.</p>
Full article ">Figure 23
<p>Comparative analysis of emotional arousal in sample sites. Note: <span class="html-fig-inline" id="forests-15-00858-i001"><img alt="Forests 15 00858 i001" src="/forests/forests-15-00858/article_deploy/html/images/forests-15-00858-i001.png"/></span> mild outlier.</p>
Full article ">Figure 24
<p>Comparative analysis of attention recovery in forests. Note: <span class="html-fig-inline" id="forests-15-00858-i001"><img alt="Forests 15 00858 i001" src="/forests/forests-15-00858/article_deploy/html/images/forests-15-00858-i001.png"/></span> mild outlier.</p>
Full article ">Figure 25
<p>Comparative analysis of attention recovery in sample sites. Note: <span class="html-fig-inline" id="forests-15-00858-i001"><img alt="Forests 15 00858 i001" src="/forests/forests-15-00858/article_deploy/html/images/forests-15-00858-i001.png"/></span> mild outlier.</p>
Full article ">
16 pages, 6913 KiB  
Article
Exploring the Relationship between the Sentiments of Young People and Urban Green Space by Using a Check-In Microblog
by Jing Zhang, Liwen Liu, Jianwu Wang, Dubing Dong, Ting Jiang, Jian Chen and Yuan Ren
Forests 2024, 15(5), 796; https://doi.org/10.3390/f15050796 - 30 Apr 2024
Viewed by 1152
Abstract
Green spaces have a positive impact on the mood of urban residents. However, previous studies have focused primarily on parks or residential areas, neglecting the influence of green spaces in different socioeconomic locations on public sentiment. This oversight fails to acknowledge that most [...] Read more.
Green spaces have a positive impact on the mood of urban residents. However, previous studies have focused primarily on parks or residential areas, neglecting the influence of green spaces in different socioeconomic locations on public sentiment. This oversight fails to acknowledge that most young individuals are exposed to places beyond their homes and parks throughout the day. Using web crawlers, we collected 105,214 Sina Weibo posts from 14,651 geographical check-in points in Hangzhou, Zhejiang Province. We developed a mixed ordered logistic regression model to quantify the relationship between public sentiment (negative/neutral/positive) and the surrounding green space. The findings are as follows: (1) the correlation between GVI and public sentiment is stronger than that between public sentiment and NDVI; (2) among different socioeconomic regions, residential areas are associated with lower levels of public sentiment, while parks are associated with higher levels; and (3) at a scale of 1000 m, an increase of 1% in GVI significantly improves public sentiment regarding transportation hubs, with a regression coefficient of 0.0333. The relationship between green space and public sentiment is intricate and nuanced, and it is influenced by both public activities and spatiotemporal contexts. Urban green space planners should consider additional factors to enhance the effectiveness of green space in improving public sentiment. Full article
Show Figures

Figure 1

Figure 1
<p>Location of the study area and spatial distribution of Weibo accounts in the sample.</p>
Full article ">Figure 2
<p>Data acquisition process.</p>
Full article ">Figure 3
<p>(<b>a</b>) Spatial distribution of NDVI, (<b>b</b>) Spatial distribution of GVI, (<b>c</b>) Spatial distribution of Weibo check-in points’ POI types, (<b>d</b>) Weather monitoring site distribution.</p>
Full article ">Figure 4
<p>(<b>a</b>) Spearman correlation analysis results, (<b>b</b>) Scatter plot of GVI 1000 m and positive probability, (<b>c</b>) Scatter plot of NDVI 200 m and positive probability.</p>
Full article ">Figure 5
<p>Forest plot of the interaction between POI type and greening index.</p>
Full article ">
19 pages, 6712 KiB  
Article
An Assessment of Accessibility from a Socially Sustainable Urban Mobility Approach in Mass Transit Projects: Contributions from the Northern Central American Triangle
by Carlos Ernesto Grande-Ayala
Sustainability 2024, 16(9), 3766; https://doi.org/10.3390/su16093766 - 30 Apr 2024
Cited by 4 | Viewed by 2311
Abstract
This article aims to address the lack of research on the social dimension of sustainability, also known as social sustainability, in urban mobility projects, primarily in cities of the Global South. It proposes a strategy to partially assess social sustainability, focusing on accessibility, [...] Read more.
This article aims to address the lack of research on the social dimension of sustainability, also known as social sustainability, in urban mobility projects, primarily in cities of the Global South. It proposes a strategy to partially assess social sustainability, focusing on accessibility, which is one of the key dimensions for conducting such an evaluation. To this end, a comparative analysis of three study cases is conducted in the capital cities of the Northern Central American Triangle (NCAT) before and after the construction of bus rapid transit (BRT) projects between 2000 and 2020. Accessibility is evaluated through equity and spatial efficiency indicators obtained through geographical information system (GIS) modeling, including layers representing transportation networks, populated areas, and locations of basic urban facilities. The result is an unprecedented assessment of accessibility in the NCAT capitals, which shows how the Guatemala City BRT project has improved the city’s social sustainability by reducing access times to basic urban facilities, mainly public health clinics and educational facilities, and narrowing the inequality gap as compared to projects in San Salvador and Tegucigalpa, the other capital cities in the NCAT. Additionally, it is emphasized that this methodology can be replicated in the Global South while considering the scarcity of information and the use of open-source software in the process. Full article
Show Figures

Figure 1

Figure 1
<p>A decade of evolution in transportation modes in the NCAT. Source: Own elaboration based on [<a href="#B12-sustainability-16-03766" class="html-bibr">12</a>,<a href="#B13-sustainability-16-03766" class="html-bibr">13</a>,<a href="#B14-sustainability-16-03766" class="html-bibr">14</a>]. Note: GT = Guatemala; ES = El Salvador; HN = Honduras.</p>
Full article ">Figure 2
<p>Synthesis of the conceptual framework for social sustainability in urban mobility. Source: Own elaboration based on [<a href="#B17-sustainability-16-03766" class="html-bibr">17</a>].</p>
Full article ">Figure 3
<p>Urban growth of metropolitan areas in the NCAT. Source: Author’s elaboration based on Sentinel 2 satellite images.</p>
Full article ">Figure 4
<p>Territorial models of NCAT capital cities. Source: Author’s elaboration based on multiple sources described in <a href="#sustainability-16-03766-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 5
<p>Synthesis of accessibility assessments in Guatemala City.</p>
Full article ">Figure 6
<p>Synthesis of accessibility assessments in San Salvador.</p>
Full article ">Figure 7
<p>Synthesis of accessibility assessments in Tegucigalpa. Note: Red line in figure depicts BRT projected line.</p>
Full article ">Figure 8
<p>Comparison of TPZ accessibility values in Guatemala and San Salvador before and after BRT projects. Source: From the authors. Note: The sizes of circles representing TPZs are proportional to the population they contain in relation to the total population of the municipality. <span class="html-italic">Y</span>-axis shows travel time and <span class="html-italic">X</span>-axis is an individual code for each TPZ. For a more detailed view of the graphs in this Figure, you can access the following link: <a href="http://bit.ly/3KidLbj" target="_blank">http://bit.ly/3KidLbj</a> (accessed on 1 January 2021).</p>
Full article ">
18 pages, 2362 KiB  
Review
A Review of Attention Restoration Theory: Implications for Designing Restorative Environments
by Yiwen Liu, Junjie Zhang, Chunlu Liu and Yang Yang
Sustainability 2024, 16(9), 3639; https://doi.org/10.3390/su16093639 - 26 Apr 2024
Cited by 2 | Viewed by 5320
Abstract
The promotion and development of healthy cities are vital for enhancing human habitats and fostering sustainable economic growth. Based on the core databases of Web of Science, PubMed, Google Scholar, and PsycINFO, and the knowledge graph software, this paper presents a quantitative analysis [...] Read more.
The promotion and development of healthy cities are vital for enhancing human habitats and fostering sustainable economic growth. Based on the core databases of Web of Science, PubMed, Google Scholar, and PsycINFO, and the knowledge graph software, this paper presents a quantitative analysis of the literature related to attention recovery abroad. It is found that in recent years, the research on attention recovery has developed rapidly, the number of related studies has been increasing, and the research content presents the characteristics of interdisciplinary integration. By further analyzing the characteristics of the research literature, research context, and knowledge basis, this paper summarizes the empirical research based on the existing quantitative analysis, reviews the research field based on the mechanism of attention recovery, and analyzes the development process and trend based on the research basis of attention recovery. Due to the change in the modern life style, human health problems are becoming more and more prominent. Attention restoration design provides a new research idea and method to balance the relationship between humans and the urban environment. Full article
Show Figures

Figure 1

Figure 1
<p>The study’s conceptual model.</p>
Full article ">Figure 2
<p>Co-occurrence analysis of research disciplines.</p>
Full article ">Figure 3
<p>Trends of attention recovery studies published in the past decade.</p>
Full article ">Figure 4
<p>Timeline of keyword and cluster analysis.</p>
Full article ">Figure 5
<p>Mechanism model of attention recovery.</p>
Full article ">Figure 6
<p>Research process diagram.</p>
Full article ">
22 pages, 8244 KiB  
Article
Research on Optimization Strategy of Commercial Street Spatial Vitality Based on Pedestrian Trajectories
by Jinjiang Zhang, Wenyu Zhou, Haitao Lian and Ranran Hu
Buildings 2024, 14(5), 1240; https://doi.org/10.3390/buildings14051240 - 26 Apr 2024
Cited by 3 | Viewed by 1420
Abstract
Commercial pedestrian streets significantly enhance urban life. Previous research often depends on limited survey data or subjective evaluations, which fail to fully capture the impact of street elements on spatial vitality under diverse spatiotemporal conditions. This study, conducted in Beijing’s Sanlitun commercial district, [...] Read more.
Commercial pedestrian streets significantly enhance urban life. Previous research often depends on limited survey data or subjective evaluations, which fail to fully capture the impact of street elements on spatial vitality under diverse spatiotemporal conditions. This study, conducted in Beijing’s Sanlitun commercial district, analyzes pedestrian data from six branch roads collected via WiFi detection to determine how various spatial elements influence the vibrancy of commercial pedestrian streets. The results show a positive correlation between street width, ranging from 5.88 to 10.83 m, and vitality. Furthermore, the influence of different street elements on vitality varies notably. During the daytime, street width is the most effective element for enhancing vitality, with a maximum standardized coefficient of 1.717. However, at night, the associations between advertising area, store type, and vitality diminish. The street recording the highest nighttime vitality peaked at a pedestrian count of 91.7831. The contribution of street width to enhancing nighttime vitality is 2.49 times greater than at noon on non-working days, 2.01 times more than on working days, and 2.92 times higher than the impact of tables and chairs. Therefore, street design should prioritize street width, ground floor interface permeability, number of tables and chairs, store density, advertising area, and store type. Full article
Show Figures

Figure 1

Figure 1
<p>Workflow of holistic approach.</p>
Full article ">Figure 2
<p>Sample data collection plan of sanlitun commercial street in Beijing.</p>
Full article ">Figure 3
<p>Schematic diagram of spatial parameters and vitality records for streets.</p>
Full article ">Figure 4
<p>Schematic diagram of spatial parameters and vitality records for Street 6.</p>
Full article ">Figure 5
<p>Model regression parameter diagrams.</p>
Full article ">Figure 5 Cont.
<p>Model regression parameter diagrams.</p>
Full article ">Figure 5 Cont.
<p>Model regression parameter diagrams.</p>
Full article ">Figure 6
<p>The effectiveness impact of various street elements on enhancing street vitality at different time periods.</p>
Full article ">
16 pages, 6074 KiB  
Article
Rural Environmental Quality Evaluation Indicator System: Application in Shangluo City, Shaanxi Province
by Chenxi Li, Qiao Liu, Zhihong Zong and Yingying Fang
Sustainability 2024, 16(8), 3198; https://doi.org/10.3390/su16083198 - 11 Apr 2024
Viewed by 1229
Abstract
The evaluation of rural environmental quality plays an important role in improving farmers’ quality of life and in realizing a livable, workable, and beautiful countryside. Taking Shangluo City in Shaanxi Province as the study area, 16 indicators across five systems were selected to [...] Read more.
The evaluation of rural environmental quality plays an important role in improving farmers’ quality of life and in realizing a livable, workable, and beautiful countryside. Taking Shangluo City in Shaanxi Province as the study area, 16 indicators across five systems were selected to evaluate the rural environmental quality. The following methods were used in the evaluation: the hierarchical analysis method, the expert scoring method, and the fuzzy comprehensive evaluation method. The results show the following: (1) The rural environmental quality assessment value of Shangluo City is adequate. (2) In the system layer, the toilet renovation and infrastructure scores were high; however, the household sewage treatment and the construction and management mechanisms need to be improved. (3) According to an IPA quadrant diagram, the importance and satisfaction values for each index varied significantly. The management of black, foul-smelling water bodies and action on environmental remediation emerged as key to improving rural environmental quality. This study can provide a reference for the comprehensive improvement of rural environmental quality in other areas of Shaanxi Province. Full article
Show Figures

Figure 1

Figure 1
<p>The study area.</p>
Full article ">Figure 2
<p>Importance–satisfaction IPA quadrant chart.</p>
Full article ">
19 pages, 3499 KiB  
Article
Effects of Urban Greenway Environmental Types and Landscape Characteristics on Physical and Mental Health Restoration
by Saixin Cao, Chen Song, Siwei Jiang, Hao Luo, Ping Zhang, Yinghui Huang, Jian Yu, Kai Li, Nian Li, Baimeng Guo and Xi Li
Forests 2024, 15(4), 679; https://doi.org/10.3390/f15040679 - 9 Apr 2024
Cited by 4 | Viewed by 2838
Abstract
As important linear public spaces, urban greenways are highly important for improving public health. Many studies have proven the benefits of urban greenways for human well-being, but fewer studies have focused on the impact of their specific environmental types and characteristics on physical [...] Read more.
As important linear public spaces, urban greenways are highly important for improving public health. Many studies have proven the benefits of urban greenways for human well-being, but fewer studies have focused on the impact of their specific environmental types and characteristics on physical and mental health. In this study, 100 subjects participated in a comparative experiment on three types of urban greenways (urban roads, urban parks, and urban rivers), and corresponding physiological indicator (systolic blood pressure [SBP], diastolic blood pressure [DBP], and pulse) and psychological indicator (perceived restorativeness scale [PRS] and positive and negative affect schedule [PANAS]) data were collected. The results indicated that (1) different greenway environment types lead to different physiological and psychological states; (2) urban park-type greenways (SBP [t = 2.37, p = 0.020], DBP [t = 2.06, p = 0.042], PANAS = 2.80, PRS = 5.39) have the greatest physical and mental recovery benefits, followed by urban river-type greenways (SBP [t = 2.84, p = 0.006], DBP [t = 1.29, p = 0.200], PANAS = 2.30, PRS= 5.02) and urban road-type greenways (SBP [t = 0.78, p = 0.440], DBP [t = 0.37, p = 0.716], PANAS = 2.00, PRS = 4.15); (3) plant color and layer diversity have a significant positive impact on the mental health benefits of the three greenway types; (4) the aesthetics of waterscapes and ornaments can significantly improve the perceived restoration ability of urban river-type greenways; and (5) the comfort of pathways and facilities can effectively promote the psychological recovery potential of urban road-type greenways. These findings systematically demonstrate for the first time the differences in restoration potential among urban greenways of different environmental types and summarize the key landscape characteristic predictors influencing the restoration potential of various types of urban greenways. Our research provides new ideas for proactive greenway interventions for physical and mental health and for enriching the restorative environmental science system. Full article
Show Figures

Figure 1

Figure 1
<p>Location of the research site.</p>
Full article ">Figure 2
<p>Experiment flow chart. SBP: systolic blood pressure; DBP: diastolic blood pressure; PANAS: positive and negative affect schedule; PRS: perceived restorativeness scale.</p>
Full article ">Figure 3
<p>Blood pressure and pulse changes before and after participants viewed the three types of greenways. <span class="html-italic">n</span> = 93; means ± SDs; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01; validated by paired <span class="html-italic">t</span>-tests.</p>
Full article ">Figure 4
<p>Changes in the PANAS scores before and after participants viewed the three greenway types. PA: positive affect; NA: negative affect. <span class="html-italic">n</span> = 93; the data shown are medians (central lines), interquartile ranges (box margins), adjacent values (whiskers), and outliers (dots); ** <span class="html-italic">p</span> &lt; 0.01; validated by paired Wilcoxon tests.</p>
Full article ">Figure 5
<p>Differences in PA, NA, and total emotional recovery values among the three greenway types. <span class="html-italic">n</span> = 93; the data shown are the medians (central lines), interquartile ranges (box margins), adjacent values (whiskers), and outliers (dots); * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01; validated by the Kruskal-Wallis test.</p>
Full article ">
25 pages, 17138 KiB  
Article
Ecological Vulnerability Assessment and Spatiotemporal Characteristics Analysis of Urban Green-Space Systems in Beijing–Tianjin–Hebei Region
by Xiangyu Fu and Yajing Liu
Sustainability 2024, 16(6), 2289; https://doi.org/10.3390/su16062289 - 9 Mar 2024
Cited by 5 | Viewed by 1765
Abstract
The evaluation and analysis of the ecological vulnerability of urban green-space systems are conducive to the sustainable development of urban green-space systems. Taking the urban green-space system in the Beijing–Tianjin–Hebei region in 2010, 2015, and 2020 as the research object, an ESSR model [...] Read more.
The evaluation and analysis of the ecological vulnerability of urban green-space systems are conducive to the sustainable development of urban green-space systems. Taking the urban green-space system in the Beijing–Tianjin–Hebei region in 2010, 2015, and 2020 as the research object, an ESSR model was first constructed, and a total of ten types of impact factors were integrated into the four dimensions of “Exposure, Sensitivity, State and Response”. The weight of the impact factors was objectively determined via spatial principal component analysis, and the ecological vulnerability of the urban green-space system was evaluated via superposition analysis; the evaluation’s results were graded. Moreover, the transfer matrix, center-of-gravity migration model, standard deviation ellipse, and spatial autocorrelation analysis were used to study the temporal and spatial variation characteristics of the evaluation results; then, the driving force of impact factors was analyzed based on a geographical detector. Finally, the rationality of the evaluation results was verified using the changing trend of the remote sensing ecological index (RSEI). The results show that the ecological vulnerability of the urban green-space system in the Beijing–Tianjin–Hebei region has decreased year by year for the past ten years. The distribution law of “Hebei surrounds Beijing and Tianjin” is presented in this space, and 2015 is the mutation node. In 2010, the moderately and severely vulnerable areas of Hebei surrounded the mildly vulnerability areas of Beijing and Tianjin. Moreover, in 2015 and 2020, the mildly vulnerable areas of Hebei surrounded the severely vulnerable areas of Beijing and Tianjin. Vulnerability expands slightly in the east–west direction and shrinks slightly in the north–south direction, and the center of gravity shifts towards Beijing year by year along the northeast direction. Moreover, the spatial distribution of vulnerability shows significant positive spatial autocorrelations and exhibits very obvious agglomeration. In addition, vulnerability is the result of the combined effect of various factors, and education degree, human disturbance index, and annual average precipitation are the dominant factors. The analysis results provide a reference for the effective application and sustainable development of urban green-space ecological functions. Full article
Show Figures

Figure 1

Figure 1
<p>The framework of the research idea and methodology.</p>
Full article ">Figure 2
<p>The boundaries of the Beijing–Tianjin–Hebei urban agglomeration.</p>
Full article ">Figure 3
<p>The architecture of the ESSR model.</p>
Full article ">Figure 4
<p>The impact factors of the ecological vulnerability assessment of the urban green-space system in the Beijing–Tianjin–Hebei region. (<b>a</b>) The annual average temperature. (<b>b</b>) The annual average precipitation. (<b>c</b>) The human disturbance index. (<b>d</b>) The digital elevation model, aspect, and slope. (<b>e</b>) The vegetation coverage. (<b>f</b>) The population density. (<b>g</b>) GDP. (<b>h</b>) The education degree.</p>
Full article ">Figure 4 Cont.
<p>The impact factors of the ecological vulnerability assessment of the urban green-space system in the Beijing–Tianjin–Hebei region. (<b>a</b>) The annual average temperature. (<b>b</b>) The annual average precipitation. (<b>c</b>) The human disturbance index. (<b>d</b>) The digital elevation model, aspect, and slope. (<b>e</b>) The vegetation coverage. (<b>f</b>) The population density. (<b>g</b>) GDP. (<b>h</b>) The education degree.</p>
Full article ">Figure 5
<p>The vulnerability area and proportion of each grade.</p>
Full article ">Figure 6
<p>Spatial distribution of the ecological vulnerability of the urban green-space system in the Beijing–Tianjin–Hebei region.</p>
Full article ">Figure 7
<p>The spatial pattern changes of the ecological vulnerability of the urban green-space system in the Beijing–Tianjin–Hebei region from 2010 to 2020.</p>
Full article ">Figure 8
<p>The mutual conversion area between different levels of ecological vulnerability from 2010 to 2020.</p>
Full article ">Figure 9
<p>The standard deviation ellipse distribution and center-of-gravity shift of ecological vulnerability.</p>
Full article ">Figure 10
<p>LISA agglomeration map of urban green space ecological vulnerability in the Beijing–Tianjin–Hebei region from 2010 to 2020.</p>
Full article ">Figure 11
<p>(<b>a</b>) The q-value radar map of the detection results of the ecological vulnerability factors of the urban green-space system in the Beijing–Tianjin–Hebei region in 2010, 2015, and 2020 was obtained. (<b>b</b>) The trend of q value change.</p>
Full article ">Figure 12
<p>The interaction effect of the ecological vulnerability of the urban green-space system in the Beijing–Tianjin–Hebei region in 2010 (<b>a</b>), 2015 (<b>b</b>), and 2020 (<b>c</b>).</p>
Full article ">Figure 13
<p>The spatial variation of remote sensing ecological index (RSEI) in the Beijing–Tianjin–Hebei region from 2010 to 2020.</p>
Full article ">
22 pages, 11368 KiB  
Article
Correlations of Spatial Form Characteristics on Wind–Thermal Environment in Hill-Neighboring Blocks
by Liang Zhao, Yijie Zhang, Yiting Li, Zichao Feng and Yuetao Wang
Sustainability 2024, 16(5), 2203; https://doi.org/10.3390/su16052203 - 6 Mar 2024
Cited by 1 | Viewed by 1143
Abstract
The spatial forms of hill-neighboring blocks and the wind–thermal environment are crucial components of urban planning and urban ecology. Understanding their correlation is significant for creating a healthy community and enhancing the sustainable level of buildings and their systems. Therefore, Jinan, a multi-mountainous [...] Read more.
The spatial forms of hill-neighboring blocks and the wind–thermal environment are crucial components of urban planning and urban ecology. Understanding their correlation is significant for creating a healthy community and enhancing the sustainable level of buildings and their systems. Therefore, Jinan, a multi-mountainous city in China, is taken as the research area, and the ideal model of hill-neighboring blocks is built based on categories of all these block types by aerial imagery and a semantic segmentation algorithm. Then, we use the CFD simulation software PHOENICS and the evaluation system weighted by random forest to simulate and assess the wind–thermal environment. Ultimately, the correlations and specific mathematical equations between the spatial form indicators and wind–thermal environment are obtained by a parametric method. The results demonstrate that the interface density on the near-hill side and hill surface roughness are the most related indicators to the overall wind–thermal environment. The variation in block spatial form has the most distinct influence on the proportion of breeze area and PMV. The relationship determined herein can provide strategic recommendations for decision makers for optimizing the outdoor air flow of blocks and enhancing the thermal comfort of pedestrians, which helps to create a healthy and comfortable outdoor environment in multi-mountainous cities. Full article
Show Figures

Figure 1

Figure 1
<p>Example of semantic segmentation (Taking Xiaogui mountain, Muniu mountain, Ganniu mountain, Kuang mountain as examples).</p>
Full article ">Figure 2
<p>Benchmark models of three types of hill-neighboring blocks extracted from real blocks: (<b>a</b>) the encirclement; (<b>b</b>) the tangent; (<b>c</b>) the embedding.</p>
Full article ">Figure 3
<p>Comprehensive evaluation system of wind–thermal environment.</p>
Full article ">Figure 4
<p>Oob Error Distribution under different random eigenvalues and the ROC curve of random forest: (<b>a</b>) Oob Error Distribution under different random eigenvalues; (<b>b</b>) ROC curve of random forest.</p>
Full article ">Figure 5
<p>Results of weight calculation.</p>
Full article ">Figure 6
<p>Visualization results of wind–thermal simulation (take CaseA-1 for example): (<b>a</b>) wind nephogram; (<b>b</b>) temperature nephogram; (<b>c</b>) PMV nephogram.</p>
Full article ">Figure 7
<p>Comparison of evaluation results of each case of wind–thermal environment.</p>
Full article ">Figure 8
<p>Pearson correlation statistics of spatial form indicators and wind–thermal environment factors of hill-neighboring blocks.</p>
Full article ">Figure 9
<p>Results of correlation between spatial form factors and wind–thermal environment factors of hill-neighboring blocks (ns means that the correlation is not significant, * means that the <span class="html-italic">p</span> value is &lt;0.1, ** means that the <span class="html-italic">p</span> value is &lt;0.01, ^ means that the correlation is non-linear).</p>
Full article ">Figure 10
<p>Regression analysis of spatial form and comprehensive wind–thermal environment of hill-neighboring block.</p>
Full article ">Figure 11
<p>Single-factor regression analysis of spatial form and wind–thermal environment evaluation of hill-neighboring block.</p>
Full article ">Figure 11 Cont.
<p>Single-factor regression analysis of spatial form and wind–thermal environment evaluation of hill-neighboring block.</p>
Full article ">
25 pages, 15325 KiB  
Article
Differential Analysis of Island Mountain Plant Community Characteristics: Ecological Sensitivity Perspectives
by Jinyan Liu, Junyi Li, Daoyuan Chen, Linye Guo, Guochang Ding and Jianwen Dong
Sustainability 2024, 16(5), 1988; https://doi.org/10.3390/su16051988 - 28 Feb 2024
Cited by 2 | Viewed by 1152
Abstract
Island plants form the foundation for maintaining the ecology of an island. With the development of the island’s infrastructure, its ecosystems become damaged to a certain extent. A comprehensive understanding of island habitats and plant community characteristics is crucial for the development of [...] Read more.
Island plants form the foundation for maintaining the ecology of an island. With the development of the island’s infrastructure, its ecosystems become damaged to a certain extent. A comprehensive understanding of island habitats and plant community characteristics is crucial for the development of island plant communities. This paper focuses on Pingtan Island in Fujian Province, China, as the research subject. Firstly, considering the significance of the wind environment on the island, this study constructed a wind environment model for the entire island of Pingtan to evaluate the ecological sensitivity from a macro perspective. Subsequently, 33 typical sample plots were selected based on different ecologically sensitive areas to conduct a micro-survey and the characterization of the montane plant communities on Pingtan Island. The findings reveal that (1) Pingtan Island’s ecological sensitivity is dominated by areas with ecological insensitivity (35.72%), moderate ecological sensitivity (33.99%), and high ecological sensitivity (18.02%). The soil texture, wind environment, and land use type are the primary influencing factors in the ecological sensitivity of Pingtan Island. (2) A total of 47 families, 82 genera, and 93 species of plants were investigated in a typical sample site in the mountainous area of Pingtan Island. The plant community structure was dominated by the successional stage of shrubs and herbs. There is some similarity in the plant composition of different ecologically sensitive areas. High ecologically sensitive areas have more species. As sensitivity increases, the dominant species in the three ecologically sensitive areas continue to undergo plant succession from Acacia confusa to Pinus thunbergii to Eurya emarginata. (3) Both community characteristics and species diversity vary between sensitive areas. The canopy density (CD) and the mean height of tree layer (MHTL) are higher in moderate ecologically sensitive areas. The mean tree diameter at breast height (MDBH) and the mean height of shrub layer (MHSL) are higher in high ecologically sensitive areas, while the mean height of herb layer (MHHL) is higher in extreme ecologically sensitive areas. Four diversity indicators increase with increasing sensitivity. In the moderate and high ecologically sensitive areas, Casuarina equisetifolia and A. confusa thrive, with Pinus thunbergii showing the opposite trend. However, species diversity is better characterized by A. confusa and P. thunbergii, with C. equisetifolia being the least diverse. Both the community characteristics and species diversity of P. thunbergii are optimal in extreme ecologically sensitive areas. In this study, the ecological sensitivity of Pingtan Island and the characteristics of montane plant communities were systematically analyzed to explore more stable montane plant communities on the island, aiming to provide a scientific basis and model reference for the ecological restoration and sustainable development of Pingtan Island and other islands. Full article
Show Figures

Figure 1

Figure 1
<p>Flowchart of the study.</p>
Full article ">Figure 2
<p>Location of study area.</p>
Full article ">Figure 3
<p>Typical plot distribution map of Pingtan Island.</p>
Full article ">Figure 3 Cont.
<p>Typical plot distribution map of Pingtan Island.</p>
Full article ">Figure 3 Cont.
<p>Typical plot distribution map of Pingtan Island.</p>
Full article ">Figure 4
<p>Single-factor ecological sensitivity analysis maps of Pingtan Island. (<b>a</b>) Elevation Grading Map, (<b>b</b>) Slope Grading Map, (<b>c</b>) Slope Direction Grading Map, (<b>d</b>) Vegetation Coverage Grading Map, (<b>e</b>) Soil Texture Grading Map, (<b>f</b>) Water Environment Grading Map, (<b>g</b>) Wind Environment Grading Map, (<b>h</b>) Land Use Type Grading Map. Note: 1 represents ecological insensitivity; 3 represents slight ecological sensitivity; 5 represents moderate ecological sensitivity; 7 represents high ecological sensitivity; 9 represents extreme ecological sensitivity.</p>
Full article ">Figure 4 Cont.
<p>Single-factor ecological sensitivity analysis maps of Pingtan Island. (<b>a</b>) Elevation Grading Map, (<b>b</b>) Slope Grading Map, (<b>c</b>) Slope Direction Grading Map, (<b>d</b>) Vegetation Coverage Grading Map, (<b>e</b>) Soil Texture Grading Map, (<b>f</b>) Water Environment Grading Map, (<b>g</b>) Wind Environment Grading Map, (<b>h</b>) Land Use Type Grading Map. Note: 1 represents ecological insensitivity; 3 represents slight ecological sensitivity; 5 represents moderate ecological sensitivity; 7 represents high ecological sensitivity; 9 represents extreme ecological sensitivity.</p>
Full article ">Figure 5
<p>Comprehensive ecological sensitivity. Note: 1 represents ecological insensitivity; 3 represents slight ecological sensitivity; 5 represents moderate ecological sensitivity; 7 represents high ecological sensitivity; 9 represents extreme ecological sensitivity.</p>
Full article ">Figure 6
<p>Plant community characteristics in various ecologically sensitive areas. (<b>a</b>) Moderate ecological sensitivity, (<b>b</b>) High ecological sensitivity, (<b>c</b>) Extreme ecological sensitivity. Note: CD represents canopy density; MDBH represents mean diameter at breast height; MHTL represents mean height of tree layer; MHSL represents mean height of shrub layer; MHHL represents mean height of herb layer.</p>
Full article ">Figure 7
<p>Diversity indices of plant community in various ecologically sensitive areas. (<b>a</b>) Moderate ecological sensitivity, (<b>b</b>) High ecological sensitivity, (<b>c</b>) Extreme ecological sensitivity.</p>
Full article ">
22 pages, 1569 KiB  
Article
Evaluation of the Impact of Informal Settlements on the Physical and Mental Health of Residents—Case Study Santa Marta—Bogotá, Colombia
by Camilo Alberto Torres Parra, Yelinca Nalena Saldeño Madero, Mauricio González Méndez, Isidoro Fasolino, Noé Villegas Flores, Michele Grimaldi, Natalia Carrillo Acosta and Federica Cicalese
Sustainability 2024, 16(5), 1964; https://doi.org/10.3390/su16051964 - 27 Feb 2024
Viewed by 2548
Abstract
The growth of the informal city in Latin America has caused its own dynamics related to urban unsustainability due to the disorderly occupation of the territory. The precarious characteristics of informal neighborhoods have increased the mortality processes in their inhabitants, increasing the poverty [...] Read more.
The growth of the informal city in Latin America has caused its own dynamics related to urban unsustainability due to the disorderly occupation of the territory. The precarious characteristics of informal neighborhoods have increased the mortality processes in their inhabitants, increasing the poverty and marginality indexes in Latin American urban settlements. This work was developed within the international research project “Modeling informality in Latin America based on indicators of sustainable urban development. Case study Yomasa, Bogotá-Colombia”. This work was developed under the mixed research approach which allowed focusing on a nested concurrent design of dominant model (DIAC), which was carried out in the Santa Marta sector of the locality of Ciudad Bolivar, in Bogotá Colombia, with the participation of 20 people from the studied community and supported by 16 students of Civil Engineering of the Catholic University of Colombia. The work resulted in a total of 31 indicators related to neighborhood informality, 17 impacts on the territory, and 8 pathologies, establishing the intrinsic relationship between informality, poverty, and public health of the inhabitant at the urban level. Full article
Show Figures

Figure 1

Figure 1
<p>Geospatial location of the Santa Marta neighborhood. (<b>a</b>) upper part of the territory; (<b>b</b>) the main road (source: elaboration by the authors).</p>
Full article ">Figure 2
<p>Methodology flow diagram (source: elaboration by the authors)<b>.</b></p>
Full article ">Figure 3
<p>Causal diagram between impacts on the territory and quality of life (source: elaboration by the authors).</p>
Full article ">
22 pages, 13225 KiB  
Article
Mining Social Media Data to Capture Urban Park Visitors’ Perception of Cultural Ecosystem Services and Landscape Factors
by Yaxin Chen, Chuanchun Hong, Yifan Yang, Jiaxin Li, Yu Wang, Tianyu Zheng, Yinke Zhang and Feng Shao
Forests 2024, 15(1), 213; https://doi.org/10.3390/f15010213 - 21 Jan 2024
Cited by 6 | Viewed by 2950
Abstract
Urban parks not only enhance urban ecology but also play a crucial role in providing cultural ecosystem services (CESs) for the well-being of urban residents. Both artificial and natural landscape factors within parks contribute significantly to the supply of cultural ecosystem services. To [...] Read more.
Urban parks not only enhance urban ecology but also play a crucial role in providing cultural ecosystem services (CESs) for the well-being of urban residents. Both artificial and natural landscape factors within parks contribute significantly to the supply of cultural ecosystem services. To explore public perceptions of landscape factors and CESs, this study focused on 25 urban parks in Hangzhou. Social media data uploaded by park visitors from 2018 to 2023 were collected to establish a corresponding CES indicator framework. Combining computer vision with text mining, we assessed the preferences and correlations between visitor-perceived CESs and park landscape factors. The results indicated that the majority of park visitors perceive CESs (80.00%) with overall satisfaction higher than importance. Among them, aesthetic experiences and recreation showed both high satisfaction and importance. In shared social media photos, arbors (19.01%), herbaceous flowers (8.99%), and groves (8.22%) were frequently presented as landscape factors. The study revealed close correlations between user gender, landscape factors, and perceived CES categories, with females contributing more to the perception of both. There were internal correlations within CES categories, with spiritual services, aesthetic experiences, and recreation showing the most significant associations. Different landscape factors impacted CES categories to varying degrees, and biological landscapes formed by plant and animal factors were considered to provide more CESs. These findings are significant for enhancing the quality of ecological services and biodiversity in parks. Full article
Show Figures

Figure 1

Figure 1
<p>Overview map of the research site.</p>
Full article ">Figure 2
<p>Practice-oriented workflow for the case study.</p>
Full article ">Figure 3
<p>YOLO v5 model structure diagram.</p>
Full article ">Figure 4
<p>Overall perception bar chart of urban park CESs (the park names in blue font are dedicated parks; the park names in black font are comprehensive parks).</p>
Full article ">Figure 5
<p>Distribution of CES perception types in urban parks (the park names in blue font are dedicated parks; the park names in black font are comprehensive parks).</p>
Full article ">Figure 6
<p>The importance and satisfaction of cultural ecosystem service perception.</p>
Full article ">Figure 7
<p>Heterogeneity of CES categories under landscape categories. (<b>a</b>) Hydrological landscape; (<b>b</b>) biological landscape; (<b>c</b>) architecture landscape; (<b>d</b>) facility landscape; C1: spiritual services; C2: aesthetic experiences; C3: recreation; C4: inspiration; C5: eexistential values; C6: cultural heritage; C7: science education; C8: social interaction; C9: natural appreciation.</p>
Full article ">Figure 8
<p>Correlation between categories of cultural ecosystem services. Note: ***, <span class="html-italic">p</span> &lt; 0.001; **, <span class="html-italic">p</span> &lt; 0.01; *, <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 9
<p>The MCA diagram shows the positions of CESs (red font), landscape factors (gray font), and visitor gender (blue font) in the first two-dimensional factor plan.</p>
Full article ">Figure 10
<p>Cultural ecosystem services and landscape factors, gender relationship flow.</p>
Full article ">
16 pages, 7554 KiB  
Article
How Do Urban Waterfront Landscape Characteristics Influence People’s Emotional Benefits? Mediating Effects of Water-Friendly Environmental Preferences
by Chen Yan, Xiangwu Cai, Yuping Wu, Xuehong Tang, Yuxuan Zhou, Qin Yang, Fangying Li, Siren Lan and Li Lin
Forests 2024, 15(1), 25; https://doi.org/10.3390/f15010025 - 21 Dec 2023
Cited by 4 | Viewed by 2914
Abstract
Landscapes in urban waterfront spaces are of high societal value as they can meet people’s physical, psychological, and social needs for health and well-being, but the relationship between waterfront landscape features and public health benefits has yet to be clarified. From the perspective [...] Read more.
Landscapes in urban waterfront spaces are of high societal value as they can meet people’s physical, psychological, and social needs for health and well-being, but the relationship between waterfront landscape features and public health benefits has yet to be clarified. From the perspective of blue health, this paper takes blue spaces along the Min River of Fuzhou City as the research object. It constructs the mediation model of “Waterfront landscape characteristic (WLC)→Water-friendly environmental preference (WEP)→Emotional benefit (EB)”. The role of WEP in the mechanisms linking WLC and EB in different waterfront spaces was explored through the quantification of indicators, questionnaires, and physiological measurements. The main results showed that (1) the ability of different types of waterfront spaces to arouse positive emotions in the population is characterized by blue-dominated space > co-dominated space > green-dominated space, while the opposite is true in terms of inducing negative emotions; (2) green visibility, blue visibility, naturalness, water-friendliness, and openness are all significantly related to EBs and could affect positive emotions either directly or mediated by WEPs, but openness seems not to affect negative emotions through WEPs; (3) cleanliness affects the population’s WEP for the coherence dimension, but has no significant role in improving EBs. This study could expand new ideas for research in habitat health, provide a reference for embodied evidence-based waterfront landscape design, and help promote the construction and development of healthy cities. Full article
Show Figures

Figure 1

Figure 1
<p>Research conceptual framework.</p>
Full article ">Figure 2
<p>Photographs of sample sites of blue-dominated space (BDS).</p>
Full article ">Figure 3
<p>Photographs of sample sites of co-dominated space (CDS).</p>
Full article ">Figure 4
<p>Photographs of sample sites of green-dominated space (GDS).</p>
Full article ">Figure 5
<p>SCL drop-out values in 3 types of waterfront spaces.</p>
Full article ">Figure 6
<p>Mediating models of “WLC→WEP→EB”.</p>
Full article ">
24 pages, 9285 KiB  
Article
Protecting Rural Large Old Trees with Multi-Scale Strategies: Integrating Spatial Analysis and the Contingent Valuation Method (CVM) for Socio-Cultural Value Assessment
by Na Yao, Chenxi Gu, Jinda Qi, Shigang Shen, Bo Nan and Hongjie Wang
Forests 2024, 15(1), 18; https://doi.org/10.3390/f15010018 - 20 Dec 2023
Cited by 6 | Viewed by 1739
Abstract
Governments are faced with the unique challenge of implementing large-scale and targeted protection against the global decline of large old trees. Incorporating socio-cultural values and encouraging public involvement are important parts of conservation policy. However, current studies on the socio-cultural valuation of large [...] Read more.
Governments are faced with the unique challenge of implementing large-scale and targeted protection against the global decline of large old trees. Incorporating socio-cultural values and encouraging public involvement are important parts of conservation policy. However, current studies on the socio-cultural valuation of large old trees are still limited, and how rural residents perceive the human-related value of large old trees remains largely unknown. Using a quantitative, spatial analysis and the contingent valuation method (CVM), we tried to explore a multi-scale socio-cultural valuation and protection framework based on a case study of Baoding City and Xiongan New Area in North China. The results showed that (1) the scattered large old trees in the study area were generally at a relatively younger stage, showing normal growth performance but having poor living environments. Some 96.99% of the trees resided in the countryside. Their distribution showed an agglomerative pattern with several clusters. (2) The species richness was relatively lower than that reported in urban areas. The species diversity had an obvious high–low gradient from the mountain to plain areas. Most endemic species were found in habitats of the village fringe (VF) and government/community/institutional ground (GC). (3) The mean willingness to pay (WTP) for the socio-cultural value of scattered large old trees was CNY 132.48 per year per person (1 US dollar equals about 7.2 CNY) of all the respondents, and CNY 84.30 per year per person with regard to farmers, which is relatively higher than that reported in large cities. (4) Economic income, gender, age, education level, place of residence, diameter at breast height, and tree habitat were factors that significantly influenced the WTP, among which economic income was the most significant. (5) The importance ranking of socio-cultural value connotations perceived by rural residents was as follows: spiritual attachment and homesickness > fengshui > social bond > witnessing history > education > creative inspiration. (6) The annual gross value was estimated to be CNY 349 million in the study area, and CNY 169,500 for a single tree on average. Based on the case study, a conceptual framework for socio-cultural value assessment and multi-scale protection of large old trees was proposed, which can provide references for the improvement of current conservation policies from both quantitative and qualitative perspectives, and give insights into rural revitalization strategies in China. Full article
Show Figures

Figure 1

Figure 1
<p>Overview of the study area: (<b>a</b>) Location of the Beijing–Tianjin–Hebei (BTH) region in China; (<b>b</b>) location of Baoding City and Xiongan New Area in the BTH region; (<b>c</b>) the altitude and administrative division of districts and counties of Baoding City and Xiongan New Area.</p>
Full article ">Figure 2
<p>Nearest neighbor index of scattered large old trees in Baoding City and Xiongan New Area.</p>
Full article ">Figure 3
<p>Distribution pattern of scattered large old trees in the 23 counties/districts of Baoding City and Xiongan New Area: (<b>a</b>) kernel density estimation; (<b>b</b>) Lorenz curve and regional tree density.</p>
Full article ">Figure 4
<p>Habitat distribution of scattered large old trees in Baoding City and Xiongan New Area. (photos taken by the authors during the survey).</p>
Full article ">Figure 5
<p>The first two axes of the DCA ordination of environments and the composition of scattered large old tree species in Baoding City and Xiongan New Area. Districts and habitat types are presented as circles, and species as crosses. (<b>a</b>) DCA results for 23 districts and tree species; (<b>b</b>) DCA results for 7 habitats and tree species. Note: Please refer to <a href="#app1-forests-15-00018" class="html-app">Table S5 in the Supplementary Materials</a> for the abbreviated species names. Abbreviated habitat categories: GC, government/community/institutional ground; RD, residential district; TE, temple; VF, village fringe; SRHS, scenic resort/historic site; HI, hillside; and CE, cemetery.</p>
Full article ">Figure 6
<p>Estimation of gross socio-cultural value of scattered large old trees in Baoding City and Xiongan New Area. (<b>a</b>) Population distribution on the village scale in 2020; (<b>b</b>) value distribution on the village scale; (<b>c</b>) value distribution on the township scale; (<b>d</b>) value distribution on the county/district scale.</p>
Full article ">Figure 7
<p>A conceptual framework for the integrated socio-cultural value assessment and multi-scale protection of large old trees.</p>
Full article ">
22 pages, 5894 KiB  
Article
Integrated Assessment and Restoration Pathways for Holistic Ecosystem Health in Anxi County, China
by Tianyuan Zhu, Shuming Zhang, Yubo Wang, Cuiping Wang and Haowei Wang
Sustainability 2023, 15(22), 15932; https://doi.org/10.3390/su152215932 - 14 Nov 2023
Cited by 1 | Viewed by 1403
Abstract
Different types of ecosystems form a complex community of life. Hence, ecosystem protection and restoration should not focus solely on a single ecosystem. Ecosystem health assessments should consider the integrity and systematicity of interrelated ecosystems to inform rational environmental planning and management. In [...] Read more.
Different types of ecosystems form a complex community of life. Hence, ecosystem protection and restoration should not focus solely on a single ecosystem. Ecosystem health assessments should consider the integrity and systematicity of interrelated ecosystems to inform rational environmental planning and management. In this study, the key characteristic indicators of major ecosystems (mountain, water, forest, and cropland) and ecosystem service capacity indicators in Anxi County, China, were selected to construct an integrated assessment system of ecosystem health that led to integrated ecosystem restoration pathways that addressed the county’s ecological problems. The results revealed that ecosystem health was higher in the western and lower in the eastern parts of the county. Throughout the county, “medium” and “poor” ecosystem health levels predominated, revealing that overall ecosystem sustainability was weak. Ecosystem restoration programmes should be tailored to each health level. Where there was “excellent” and “good” ecosystem health ratings, those healthy ecosystem functions should be strengthened and maintained. In the “medium” health areas, the control and prevention of ecological problems should be strengthened. “Poor” health areas require immediate integrated ecological restoration projects that ensure the connectivity and coordination of restoration tasks in fragile ecosystems. This then will enhance holistic ecosystem stability and sustainability. Full article
Show Figures

Figure 1

Figure 1
<p>The location of Anxi County in Fujian Province, China. Smaller subdivisions within the county are townships.</p>
Full article ">Figure 2
<p>The relationships between the various ecological issues in Anxi County. Ecological issues in mountain, forest, water and cropland ecosystems (outer ring). These problems interact to create broader problems (next inner ring), which then contribute to reduced ecosystem service capacity and overall ecosystem instability (innermost ring).</p>
Full article ">Figure 3
<p>Comprehensive evaluation indicator system for ecosystem health in Anxi County. The indicators and indexes included the characteristic indicators for each of the four ecosystem types and their resulting composite indexes (top box) and the ecosystem service capacity indicators (bottom box). The composite indexes and comprehensive index show the progression of combining the indexes and indicators into a final assessment of the overall ecosystem health for the entire county.</p>
Full article ">Figure 4
<p>The spatial distributions of key characteristics of the four ecosystem types (purple, mountain; blue, water; green, forest; yellow, cropland) in Anxi County. Each ecosystem type’s characteristic indicator spatial distribution maps are shown to the left of their composite index spatial distribution map. Higher grade numbers indicate higher values for each indicator. The composite characteristics maps rate the spatial distributions of each ecosystem’s quality as poor, medium, good, or excellent. See <a href="#sustainability-15-15932-f003" class="html-fig">Figure 3</a> for ecosystem type and indicator definitions.</p>
Full article ">Figure 5
<p>The spatial distribution of the integrated key ecosystem characteristics composite index (S in <a href="#sustainability-15-15932-f003" class="html-fig">Figure 3</a>) for Anxi County, China.</p>
Full article ">Figure 6
<p>The spatial distributions of ecosystem service capacity indicators for Anxi County, China. (<b>E1</b>), water conservation capacity; (<b>E2</b>), soil and water conservation capacity; and (<b>E3</b>), sand fixation capacity.</p>
Full article ">Figure 7
<p>The spatial distribution of the integrated ecosystem services capacity index (T in <a href="#sustainability-15-15932-f003" class="html-fig">Figure 3</a>) for Anxi County, China.</p>
Full article ">Figure 8
<p>The spatial distribution of the integrated ecosystem health comprehensive index (H in <a href="#sustainability-15-15932-f003" class="html-fig">Figure 3</a>) in Anxi County, China.</p>
Full article ">Figure 9
<p>Integrated pathways for the mountain, forest, water, and cropland (outer ring) ecosystem restoration in Anxi County, China. Those solutions for each ecosystem’s problems interact positively to alleviate broader problems (central ring), which then contribute to improved ecosystem service capacity and overall ecosystem stability (innermost ring).</p>
Full article ">
21 pages, 4369 KiB  
Article
The Restorative Potential of Green Cultural Heritage: Exploring Cultural Ecosystem Services’ Impact on Stress Reduction and Attention Restoration
by Jing Xie, Shixian Luo, Katsunori Furuya, Huixin Wang, Jiao Zhang, Qian Wang, Hongyu Li and Jie Chen
Forests 2023, 14(11), 2191; https://doi.org/10.3390/f14112191 - 3 Nov 2023
Cited by 3 | Viewed by 2395
Abstract
Green cultural heritage is an important form of natural space in cities. Only a few studies have conducted restorative studies in a historical environment as most have focused on natural environments. Moreover, few studies on cultural ecosystem services (CESs) have addressed cultural heritage. [...] Read more.
Green cultural heritage is an important form of natural space in cities. Only a few studies have conducted restorative studies in a historical environment as most have focused on natural environments. Moreover, few studies on cultural ecosystem services (CESs) have addressed cultural heritage. Based on an onsite questionnaire distributed to green cultural heritage users (N = 64) in Hamarikyu Garden, this paper explores the value of CESs in a green cultural heritage site and the relationship between cultural ecosystem values and perceived attention restoration/stress reduction. A multiple linear regression analysis and simple linear regression analyses were used to examine the data. The results showed that (1) the cultural ecosystem values of the green cultural heritage site were all rated highly except for the sense of place; (2) spending time in green cultural heritage provided respondents significant perceived attention restoration and stress reduction; (3) aesthetics and cultural heritage significantly affected perceived stress reduction, while attention restoration showed a significant positive correlation with aesthetic value and sense of place; and (4) the more visitors perceived the value of CESs, the more significant the perceived stress reduction and attention recovery were. This study indicates that CESs represent a useful tool for measuring the environmental characteristics of green cultural heritage sites and can predict perceived psychological recovery in green cultural heritage sites. Our findings enhance our knowledge about restorative environmental attributes through objective descriptions of potential health-promoting qualities and can be utilized as inspiration for designing restorative environments in green cultural heritage sites. Full article
Show Figures

Figure 1

Figure 1
<p>The research framework.</p>
Full article ">Figure 2
<p>Location of the study site (map credit: OpenStreetMap).</p>
Full article ">Figure 3
<p>Locations of on-site natural images ((<b>N1</b>) the inner moat, (<b>N2</b>) an open space, and (<b>N3</b>) the tidal pond) and cultural images ((<b>C1</b>) konozoki, (<b>C2</b>) the bridge over the pond, and (<b>C3</b>) the teahouse) of HG (map credit: Google Maps).</p>
Full article ">Figure 4
<p>The survey procedure. (<b>A</b>) Get the brochure of the GCH and go to the pavilion near the entrance; (<b>B</b>) Read the brochure and start their tour with a volunteer who would guide the route; (<b>C</b>) Take a two-hour tour according to the route; (<b>D</b>) Go back to the pavilion to complete the questionnaire after a short break.</p>
Full article ">Figure 5
<p>Overall assessment of CES values (means ± standard deviations).</p>
Full article ">Figure 6
<p>Overall assessment of perceived attention restoration components and perceived stress reduction (mean ± standard deviations).</p>
Full article ">Figure 7
<p>Differences in restorative experiences between the sensitive and insensitive groups (*** <span class="html-italic">p</span> &lt; 0.001).</p>
Full article ">
19 pages, 6258 KiB  
Review
Scientific Knowledge Map Study of Therapeutic Landscapes and Community Open Spaces: Visual Analysis with CiteSpace
by Yan Han and Yuehui Liang
Sustainability 2023, 15(20), 15066; https://doi.org/10.3390/su152015066 - 19 Oct 2023
Cited by 3 | Viewed by 2237
Abstract
The pursuit of a healthy and comfortable living environment is a key developmental objective for human society. Therapeutic landscapes play a significant role in improving environmental conditions within these spaces. However, current research suggests that there is still much to be explored in [...] Read more.
The pursuit of a healthy and comfortable living environment is a key developmental objective for human society. Therapeutic landscapes play a significant role in improving environmental conditions within these spaces. However, current research suggests that there is still much to be explored in this field, particularly in communal open spaces. Based on the Web of Science literature database and using the CiteSpace visualization tool, this study launched a literature review search on the existing research content on therapeutic landscapes in community spaces by means of publication volume analysis, spatial distribution, keyword analysis, co-citation clustering analysis, keyword timeline, and co-occurring word analysis. Based on the research results, the current status and direction of related research are outlined, and the research hotspots and future trends in this field are analyzed. Current research comprises multiple interdisciplinary branches, such as geography, public space, modern medicine, care, horticultural therapy, urban ecology, and more, with theoretical research, caregiving, spatial territories, and research methodology as the main research vectors. It is clear from this study that the current research on community therapeutic landscapes suffers from a lack of coordination between theoretical and practical development, and the related design practice activities are in a vulnerable stage of development. In terms of the population served, specialized research will be one of the directions of development, as there has been a gradual increase in the number of spatial research on the prevention and complementary treatment of various diseases for subdivided groups. At the same time, the research focus in this field has shifted from the physical health of users to their mental health, leading to a trend of public service development with the objective of social health. Full article
Show Figures

Figure 1

Figure 1
<p>Flowchart for building a knowledge graph.</p>
Full article ">Figure 2
<p>The data collection steps.</p>
Full article ">Figure 3
<p>Literature Volume and Trend Statistics Related to Rehabilitation Landscapes, 2000–2022 (Statistical Time 4 June 2023). Since the literature data of 2023 are not complete, the statistics and analysis of the number of publications are as of December 2022.</p>
Full article ">Figure 4
<p>Visualization of the country collaboration network from 2000 to 2023.</p>
Full article ">Figure 5
<p>Keyword co-occurrence network mapping.</p>
Full article ">Figure 6
<p>Co-citation and cluster analysis of the literature related to therapeutic landscapes and community open spaces.</p>
Full article ">Figure 7
<p>Spatial timeline map analysis of community therapeutic landscapes.</p>
Full article ">
16 pages, 4222 KiB  
Article
Spatial Feature Analysis of the Beijing Forbidden City and the Shenyang Imperial Palace Based on Space Syntax
by Dongxu Zhang, Xuyang Shan, Xinyi Zhang, Hao Chen and Yingsheng Zheng
Buildings 2023, 13(10), 2615; https://doi.org/10.3390/buildings13102615 - 17 Oct 2023
Cited by 4 | Viewed by 3403
Abstract
As two of the most complete existing examples of royal architecture and cultural World Heritage Sites in China, the Beijing Forbidden City and the Shenyang Imperial Palace are distinctive in terms of their spatial organization. This study used the relational diagram method of [...] Read more.
As two of the most complete existing examples of royal architecture and cultural World Heritage Sites in China, the Beijing Forbidden City and the Shenyang Imperial Palace are distinctive in terms of their spatial organization. This study used the relational diagram method of space syntax theory to quantitatively analyze the spaces of these two palaces. Furthermore, the characteristics of these spaces were explored by comparing the integration and depth value of each palace space, as well as the differences in architectural culture between the different times and nationalities that they reflect. The results show that in the Forbidden City, office space had the lowest degree of spatial enclosure (depth value), while living space had the highest spatial enclosure. Moreover, there was little difference in accessibility (integration value) among office space, living space, and recreation space. In the Shenyang Imperial Palace, the accessibility of office space, living space, and recreation space showed a decreasing trend, while their spatial enclosure showed an increasing trend. The depth values of office space, living space, and recreation space were higher in the Beijing Forbidden City than in the Shenyang Imperial Palace by 245%, 109%, and 35%, respectively. The integration value of office space was 22.2% higher in the Shenyang Imperial Palace than in the Forbidden City, while the integration values of living space and recreation space were higher in the Forbidden City than in the Shenyang Imperial Palace by 13.9% and 49.2%, respectively. The degree of enclosure of the recreation spaces in both palaces was very strong, indicating that the royal family paid attention to privacy during their leisure activities. In the process of use, the functional conversion of different palaces in the Forbidden City significantly improved the accessibility of both the emperor’s living space and the minister’s office space and simultaneously strengthened the connection between these two spaces. Factors in the construction sequence led to the unreasonable accessibility of recreation space in the Shenyang Imperial Palace. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>The map of the Beijing Forbidden City: (<b>a</b>). Aerial view of the Beijing Forbidden City; (<b>b</b>). The main space of the Beijing Forbidden City.</p>
Full article ">Figure 2
<p>The map of the Shenyang Imperial Palace: (<b>a</b>). Aerial view of the Shenyang Imperial Palace; (<b>b</b>). The main space of the Shenyang Imperial Palace.</p>
Full article ">Figure 3
<p>Space-numbering map: (<b>a</b>). The Forbidden City; (<b>b</b>). The Shenyang Imperial Palace.</p>
Full article ">Figure 4
<p>J-Graph of the Two Palaces: (<b>a</b>). The Forbidden City (<b>b</b>). The Shenyang Imperial Palace.</p>
Full article ">Figure 5
<p>The integration value classification map of the Forbidden City.</p>
Full article ">Figure 6
<p>The integration value classification map of the Shenyang Imperial Palace.</p>
Full article ">Figure 7
<p>Comparison of the spatial enclosure and accessibility of the different spaces.</p>
Full article ">Figure 8
<p>The parameter average of the different spaces in the two palaces.</p>
Full article ">
13 pages, 13112 KiB  
Article
How Should Soundscape Optimization from Perceived Soundscape Elements in Urban Forests by the Riverside Be Performed?
by Xin-Chen Hong, Shi Cheng, Jiang Liu, Lian-Huan Guo, Emily Dang, Jia-Bing Wang and Yuning Cheng
Land 2023, 12(10), 1929; https://doi.org/10.3390/land12101929 - 17 Oct 2023
Cited by 17 | Viewed by 1931
Abstract
Urban forests by the riverside are important habitats for various animals and contribute various soundscapes for citizens. Unfortunately, urban forests are exposed to the influence of riverside traffic noises from freeways. This study aims to explore the spatial and temporal variation of soundscape, [...] Read more.
Urban forests by the riverside are important habitats for various animals and contribute various soundscapes for citizens. Unfortunately, urban forests are exposed to the influence of riverside traffic noises from freeways. This study aims to explore the spatial and temporal variation of soundscape, conduct soundscape optimization for multiple parameters, and find a balance and its interval of soundscape elements through optimizing a soundscape map. Questionnaires and measuring equipment were used to gather soundscape information in an urban forested area in Fuzhou, China. Diurnal variations and soundscape mapping were used to analyze spatial and psychophysical relationships between soundscape drivers. We then conducted optimization for a soundscape map, which included normalization, critical value determination, target interval of optimal SPL determination, and modification of SPL and mapping. Our findings suggest that biological activities and natural phenomena are potential drivers for diurnal variation of soundscapes, especially tidal phenomena contributing water and shipping soundscapes. Our results also suggest that all the high values of perceived soundscapes were found at the southwest corner of the study area, which includes both riverside and urban forest elements. Furthermore, we suggest combining both optimal soundscape and SPL correction maps to aid in sustainable design in urban forests. This can contribute to the understanding and methodology of soundscape map optimization in urban forests when proposing suitable design plans and conservation of territorial sound. Full article
Show Figures

Figure 1

Figure 1
<p>The location of the study area in Fuzhou.</p>
Full article ">Figure 2
<p>Aerial photo of Fuzhou Beach Park (<b>top</b>) and functional areas (<b>bottom</b>).</p>
Full article ">Figure 3
<p>The framework of soundscape optimization.</p>
Full article ">Figure 4
<p>Composition of the soundscape at different time periods.</p>
Full article ">Figure 5
<p>The SPL of entrance distribution space (<b>a</b>), urban forest space (<b>b</b>), and beach recreation space (<b>c</b>) at different time periods.</p>
Full article ">Figure 6
<p>The soundscape maps of SPL (<b>a</b>), geophony (<b>b</b>), biophony (<b>c</b>), and anthrophony (<b>d</b>).</p>
Full article ">Figure 7
<p>Optimal soundscape interval (<b>left</b>) and guided soundscape map (<b>right</b>).</p>
Full article ">Figure 8
<p>SPL Correction of soundscape map.</p>
Full article ">
23 pages, 10300 KiB  
Article
Natural Dose of Blue Restoration: A Field Experiment on Mental Restoration of Urban Blue Spaces
by Shixian Luo, Jing Xie, Huixin Wang, Qian Wang, Jie Chen, Zhenglun Yang and Katsunori Furuya
Land 2023, 12(10), 1834; https://doi.org/10.3390/land12101834 - 26 Sep 2023
Cited by 9 | Viewed by 2334
Abstract
Urban Blue Spaces (UBS) have been found to be beneficial to people’s mental health. Yet, the empirical evidence for how and why different types of urban blue spaces could promote residents’ mental health is still limited. Accordingly, 164 observation samples were collected for [...] Read more.
Urban Blue Spaces (UBS) have been found to be beneficial to people’s mental health. Yet, the empirical evidence for how and why different types of urban blue spaces could promote residents’ mental health is still limited. Accordingly, 164 observation samples were collected for this experiment relating to the restorative perception of environmental exposure. The effects of two exposure behaviors (15 min of viewing and 15 min of walking) on psychological recovery in three different urban blue spaces settings (Urban River, Urban Canal, Urban Lake) were investigated in a field experiment. These are the main findings of this current study: (1) all three UBSs increased vitality, feelings of restoration, and positive emotions, and decreased negative emotions; (2) the mental restoration effects between walking and viewing among the three UBSs showed no significant differences; (3) of the three UBSs, urban rivers and urban lakes were the most restorative, while urban canals were less so; (4) the concept of “natural health dose” is proposed, where the health experiences of different UBSs in urban settings can show differences depending on the natural components and their levels of the environment (blue, blue + green, blue + blue). The results of this experiment can provide fundamental evidence that can contribute to building healthy cities through the management and design of different blue spaces. Full article
Show Figures

Figure 1

Figure 1
<p>(Red box) The location of the study sites; (A) Osagamicyousetuike, (B) Sakagawa, (C) Shinsakagawa, (D) Sengyokaidou.</p>
Full article ">Figure 2
<p>Experimental procedures.</p>
Full article ">Figure 3
<p>Viewing session in the study sites (authorized photos). (<b>a</b>) Sakagawa, (<b>b</b>) Shinsakagawa, (<b>c</b>) Osagamicyousetuike, (<b>d</b>) Sengyokaidou.</p>
Full article ">Figure 4
<p>Walking session in the study sites (authorized photos). (<b>a</b>) Sakagawa, (<b>b</b>) Shinsakagawa, (<b>c</b>) Osagamicyousetuike, (<b>d</b>) Sengyokaidou.</p>
Full article ">Figure 5
<p>NMDS and MRPP results of 164 observation samples. The ellipse in the figure indicates the standard deviation. T describes the size of the difference, and the larger the absolute value of T, the greater the difference. Different colored dots represent different experimental sites.</p>
Full article ">Figure 6
<p>SVS, ROS, PANAS POS, and PANAS NEG in the main effects analysis (mean ± standard error; UR, Urban River; UC, Urban Canal; UL, Urban Lake; CG, Control Group; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001). (<b>a</b>) Main effect of Place (SVS, ROS, PANAS POS), (<b>b</b>) Main effect of Time (SVS, ROS), (<b>c</b>) Main effect of Time (PAN POS, PAN NEG).</p>
Full article ">Figure 7
<p>Interaction graphs for SVS (<b>a</b>), ROS (<b>b</b>), PANAS POS (<b>c</b>), and PANAS NEG (<b>d</b>); UR, Urban River; UC, Urban Canal; UL, Urban Lake; CG, Control Group.</p>
Full article ">Figure 8
<p>Difference results of perceived natural element levels in the three UBSs by Kruskal-Wallis H test. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. The “×” in the box represents the mean value.</p>
Full article ">Figure 9
<p>Natural health dose reflecting the complementary effect of blue and green elements.</p>
Full article ">
22 pages, 6979 KiB  
Article
Using Social Media and Multi-Source Geospatial Data for Quantifying and Understanding Visitor’s Preferences in Rural Forest Scenes: A Case Study from Nanjing
by Chongxiao Wang, Jiahui Zou, Xinyuan Fang, Shuolei Chen and Hao Wang
Forests 2023, 14(10), 1932; https://doi.org/10.3390/f14101932 - 22 Sep 2023
Cited by 2 | Viewed by 1497
Abstract
Rapid urbanization has made urban forest scenes scarce resources, leading to a surge in the demand for high-quality rural forest scenes as alternative outdoor recreation spaces. Previous studies mainly applied survey methods, focusing on visitors’ feedback for different types of scenes from the [...] Read more.
Rapid urbanization has made urban forest scenes scarce resources, leading to a surge in the demand for high-quality rural forest scenes as alternative outdoor recreation spaces. Previous studies mainly applied survey methods, focusing on visitors’ feedback for different types of scenes from the perspective of visual quality evaluation. Nevertheless, the explanations of the relationships between various factors of scenes and visitors’ preferences are relatively superficial. This study sought to explore the distribution and characteristics of preferred rural forest scenes based on visitor reviews from social media, and using Geodetector, a geospatial statistics tool, to quantitatively analyzed the reasons for visitors’ preferences in terms of factors obtained from multi-source geospatial data. The findings are that (1) visitors are already satisfied with the natural environment but expect scenes that reflect the culture of tea; (2) spatial factor has a more robust interpretation of visitors’ preference, and although the Normalized Difference Vegetation Index (NDVI) and non-consumption indicators barely explain visitors’ preference solely when each of them is combined with other indicators, they can produce non-linear enhancement effects. Consequently, this study synthesizes visitors’ feedback and factors in rural forest scenes to understand visitors’ preferences, thus providing insights into human-centered planning. Full article
Show Figures

Figure 1

Figure 1
<p>The extent of the study area, Huanglongxian, China.</p>
Full article ">Figure 2
<p>The data-fusion framework of this research.</p>
Full article ">Figure 3
<p>Photo screening criteria and process.</p>
Full article ">Figure 4
<p>Semantic segmentation based on PSPNet. (<b>a</b>) Original image before semantic segmentation; (<b>b</b>,<b>c</b>) The result of semantic segmentation.</p>
Full article ">Figure 5
<p>The spatial distribution of visitors’ preferences.</p>
Full article ">Figure 6
<p>Six types of visitor-preferred scenes. (<b>a</b>) The average proportion of physical features among six clusters; (<b>b</b>) examples of photos among six types of scenes.</p>
Full article ">Figure 7
<p>The trend of perplexity with the number of topics.</p>
Full article ">Figure 8
<p>Distribution of visitors’ attitudes under different topics.</p>
Full article ">Figure 9
<p>Results of factors extraction. (<b>a</b>,<b>b</b>) Results of socio-economic factor extraction; (<b>c</b>–<b>g</b>) results of spatial factor extraction; (<b>h</b>) results of natural factor extraction.</p>
Full article ">Figure 9 Cont.
<p>Results of factors extraction. (<b>a</b>,<b>b</b>) Results of socio-economic factor extraction; (<b>c</b>–<b>g</b>) results of spatial factor extraction; (<b>h</b>) results of natural factor extraction.</p>
Full article ">Figure 10
<p>Results of interaction detector.</p>
Full article ">
21 pages, 2887 KiB  
Article
Enhancing Citizens’ Perceived Restoration Potential of Green Facades through Specific Architectural Attributes
by Pegah Hajibeigi, Mahdieh Pazhouhanfar, Patrik Grahn and Hasan Nazif
Buildings 2023, 13(9), 2356; https://doi.org/10.3390/buildings13092356 - 16 Sep 2023
Cited by 4 | Viewed by 2615
Abstract
Research on restorative environments has suggested green facades as a promising model for natural spaces in urban and densely populated areas. However, the impact of architectural design attributes of green building facades on perceived restoration potential is insufficiently researched. Therefore, this study aimed [...] Read more.
Research on restorative environments has suggested green facades as a promising model for natural spaces in urban and densely populated areas. However, the impact of architectural design attributes of green building facades on perceived restoration potential is insufficiently researched. Therefore, this study aimed to investigate the relationship between architectural design attributes of green building facades and perceived restoration potential. A discrete choice experiment was used. First, seven architectural design attributes (Value, Symmetry, Material, Balcony, Variety, Configuration, and Shape) were identified based on the Content Identifying Method. In the next step, a sample of 204 participants randomly selected a block and evaluated the perceived restoration potential of six pairs of designed images of different green facade scenarios based on the seven architectural design attributes. The results showed that low diversity in greenery was associated with greater influence, and people chose asymmetric greenery more often. Horizontal and scattered greenery was preferred over vertical and concentrated greenery, which had no significant effect on perceived restoration potential. Stone and cement used in green facades were the most influential factors in perceived restoration potential. These findings can aid designers in designing the green facade of residential buildings to increase perceived restoration potential. Full article
Show Figures

Figure 1

Figure 1
<p>Five most-preferred scenes for the greenery on façades.</p>
Full article ">Figure 2
<p>Five least-preferred scenes for the greenery on facades.</p>
Full article ">Figure 3
<p>Facade scenes based on factor analysis.</p>
Full article ">Figure 4
<p>Theoretical model.</p>
Full article ">Figure 5
<p>Overview of different levels for two images: (<b>left image</b>) medium value, symmetrical, cement material, presence of balcony, variability, concentrated and horizontal greenery. (<b>right image</b>) high value, no symmetrical, brick material, absence of balcony, no variability, scattered and vertical greenery.</p>
Full article ">Figure 6
<p>Preference for architectural design attributes of green façades.</p>
Full article ">
20 pages, 6250 KiB  
Article
Thermal–Acoustic Interaction Impacts on Crowd Behaviors in an Urban Park
by Ye Chen, Ziyi Chen, Shumeng Lin, Xiaoqian Lin, Shuting Li, Taoyu Li and Jianwen Dong
Forests 2023, 14(9), 1758; https://doi.org/10.3390/f14091758 - 30 Aug 2023
Cited by 2 | Viewed by 1693
Abstract
As urbanization accelerates, parks, as vital urban public open spaces, and their acoustic and thermal ambience directly impact visitors’ comfort and the sustainability of parks. Selecting Xihu Park in Fuzhou, China located in the subtropical region as a typical example, this study utilizes [...] Read more.
As urbanization accelerates, parks, as vital urban public open spaces, and their acoustic and thermal ambience directly impact visitors’ comfort and the sustainability of parks. Selecting Xihu Park in Fuzhou, China located in the subtropical region as a typical example, this study utilizes covert observational experiments with different typical sounds (grass cutting, music, and no sound source) across temperature levels to examine the influence of thermal–acoustic interactions on crowd behaviors in the park. The findings are as follows: (1) melodious music can attract more tourists, while strong stimulating grass cutting noises under high temperatures reduce crowd flow. Excluding unpleasant audio sources, park soundscapes across temperatures have a relatively limited influence on attractiveness to people flow. (2) High temperatures diminish tourists’ interest in landscape experiences and persons staying, especially when the soundscape quality is poorer. Under non-high temperatures, audio environments have a minor impact on the staying time. (3) The soundscape quality plays a role by affecting people’s path choices of approaching or avoiding sound sources, where grass cutting noise has the most negative influence. Music, grass cutting sounds, and natural sounds demonstrate conspicuous differences in their effects under varied temperatures. (4) Comfortable acoustic environments can draw larger crowds and decrease the walking pace. High temperatures make crowds take slower steps. Different sound types have significant influences on crowd movement velocity under three typical temperature levels. This study comprehensively investigates the mechanisms of typical thermal–acoustic environments’ impacts on park crowd behaviors, providing important references for optimizing the acoustic and thermal environments of urban parks, while also enriching related research on landscape design and environmental psychology. Future studies can conduct in-depth explorations by creating more abundant thermal–acoustic combinations and probe differences across diverse populations. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Location of Fuzhou city in the China map; (<b>b</b>) Xihu Park in Fuzhou city; (<b>c</b>) S1 and S2 sample sites within Xihu Park.</p>
Full article ">Figure 2
<p>Thermal environment situation. (<b>a</b>) Low-heat area; (<b>b</b>) moderate-heat area; (<b>c</b>) high-heat area.</p>
Full article ">Figure 3
<p>Acoustical environment situation: (<b>a</b>) without sound played in a low-heat and moderate-heat area; (<b>b</b>) with grass cutting sounds in low-heat and moderate-heat areas; (<b>c</b>) with music in low-heat and moderate-heat areas; (<b>d</b>) without sound played in high-heat area; (<b>e</b>) with grass-cutting sounds in high-heat area; (<b>f</b>) with music in high-heat area.</p>
Full article ">Figure 3 Cont.
<p>Acoustical environment situation: (<b>a</b>) without sound played in a low-heat and moderate-heat area; (<b>b</b>) with grass cutting sounds in low-heat and moderate-heat areas; (<b>c</b>) with music in low-heat and moderate-heat areas; (<b>d</b>) without sound played in high-heat area; (<b>e</b>) with grass-cutting sounds in high-heat area; (<b>f</b>) with music in high-heat area.</p>
Full article ">Figure 4
<p>The number of people under the thermal–acoustic interaction.</p>
Full article ">Figure 5
<p>The number of persons staying under the thermal–acoustic interaction.</p>
Full article ">Figure 6
<p>Path offset under the thermal–acoustic interaction.</p>
Full article ">Figure 7
<p>Crowd speed under the thermal–acoustic interaction.</p>
Full article ">
15 pages, 1145 KiB  
Article
The Restorative and Contingent Value of Biophilic Indoor Environments in Healthcare Settings
by Yuxiang Lan and Qunyue Liu
Sustainability 2023, 15(15), 11676; https://doi.org/10.3390/su151511676 - 28 Jul 2023
Cited by 2 | Viewed by 1935
Abstract
During the COVID-19 pandemic, individuals undergoing healthcare-related quarantine often experience heightened anxiety and stress. While biophilic indoor environments have shown potential in reducing stress, their effectiveness within healthcare quarantine settings remains uncertain. Additionally, the economic value associated with implementing biophilic interventions in healthcare [...] Read more.
During the COVID-19 pandemic, individuals undergoing healthcare-related quarantine often experience heightened anxiety and stress. While biophilic indoor environments have shown potential in reducing stress, their effectiveness within healthcare quarantine settings remains uncertain. Additionally, the economic value associated with implementing biophilic interventions in healthcare environments remains largely unknown. This study aimed to explore the effects of biophilic interventions in indoor quarantine environments on the perceived outcomes of individuals (such as preference, perceived restorativeness, and satisfaction) and their willingness-to-pay (WTP). Participants were asked to imagine themselves in quarantine and were subsequently assigned to one of four indoor rooms, each featuring a different level of biophilic intervention (non-biophilic, low, medium, and high indoor green). Their perceived outcomes and WTP were then evaluated. The findings consistently demonstrated that incorporating biophilic interventions had a significantly positive impact on perceived outcomes and WTP compared with non-biophilic interventions within healthcare quarantine settings. Among the three levels of biophilic intervention, high indoor green spaces had the highest influence, while low indoor green spaces had the lowest. Moreover, perceived restorativeness consistently played a role in influencing WTP across all three biophilic indoor rooms. Further analysis indicated that a medium level of biophilic intervention would be more advantageous and practical in the design of healthcare indoor environments. This study offers valuable insights into both the monetary and nonmonetary values of biophilic interventions in healthcare settings, aiding designers in selecting appropriate biophilic designs to create enhanced restorative indoor environments. Full article
Show Figures

Figure 1

Figure 1
<p>The four indoor rooms layouts.</p>
Full article ">Figure 1 Cont.
<p>The four indoor rooms layouts.</p>
Full article ">Figure 2
<p>The average marginal effects of three biophilic design interventions on measured outcomes.</p>
Full article ">
17 pages, 13111 KiB  
Article
Spatial Distribution and Accessibility Evaluation of National Water Parks in China
by Chenming Zhang, Bei He, Wei Li and Chunyang Guo
Sustainability 2023, 15(15), 11621; https://doi.org/10.3390/su151511621 - 27 Jul 2023
Viewed by 1459
Abstract
A water park is a nature-based site along a river or water management project that plays a vital role in protecting the local ecological system and providing water recreation, making it an essential component of China’s ecological and ecotourism security strategy. This study [...] Read more.
A water park is a nature-based site along a river or water management project that plays a vital role in protecting the local ecological system and providing water recreation, making it an essential component of China’s ecological and ecotourism security strategy. This study sought to portray the distribution of China’s 878 National Water Parks (NWPs) and to visualize the pattern of accessibility for NWP resources by the gravity-2SFCA method. The investigation produced the following findings: (1) The national-scale pattern of ecotourism and water recreation can be revealed by the distribution of NWPs, which were concentrated on the eastern side of the “Hu Line” but were dispersed on the western side. (2) NWPs can function as detectors of various endowment and management modes of basin-scaled water resources through the relationship between different categories of NWPs and their locations, which can provide guidance for regional planners. (3) The accessibility of NWPs is an effective indicator for revealing spatial disparity between the supply of NWP resources and the population distribution. Then, the general NWP development strategy can be made based on a hot-spot visualization analysis of accessibility patterns. Full article
Show Figures

Figure 1

Figure 1
<p>Flow chart of the whole research.</p>
Full article ">Figure 2
<p>The types, scale, and distribution of 878 NWPs.</p>
Full article ">Figure 3
<p>The visualization of the basic data (<b>a</b>) is the distribution of population in 2021, (<b>b</b>) is the highway network in China.</p>
Full article ">Figure 4
<p>The kernel distribution of each type of NWP.</p>
Full article ">Figure 5
<p>Standard deviational ellipses of NWPs in each basin.</p>
Full article ">Figure 6
<p>The temporal network and data statistics between cities and NWPs.</p>
Full article ">Figure 7
<p>Accessibility of NWPs computed by different service radial thresholds ((<b>top</b>): 2 h; (<b>bottom</b>): 5 h).</p>
Full article ">Figure 8
<p>Comparison of the hot-spot maps between different indicators.</p>
Full article ">
19 pages, 3922 KiB  
Article
How Do Spatial Forms Influence Psychophysical Drivers in a Campus City Community Life Circle?
by Shi-Ying Li, Zhu Chen, Lian-Huan Guo, Fangbing Hu, Yi-Jun Huang, Dan-Cheng Wu, Zhigang Wu and Xin-Chen Hong
Sustainability 2023, 15(13), 10014; https://doi.org/10.3390/su151310014 - 24 Jun 2023
Cited by 15 | Viewed by 1659
Abstract
The physical environment of urban public facilities is an important driver for public health and work efficiency. Unfortunately, citizens are exposed to negative physical environments because of inappropriate spatial forms in urban growth boundaries. This study aims to explore psychophysical drivers and their [...] Read more.
The physical environment of urban public facilities is an important driver for public health and work efficiency. Unfortunately, citizens are exposed to negative physical environments because of inappropriate spatial forms in urban growth boundaries. This study aims to explore psychophysical drivers and their spatial distribution in campus city community life circles during the COVID-19 pandemic. Questionnaires and measuring equipment were used to gather psychophysical information in a 15 min campus city community life circle in Fuzhou, China. To this end, acoustic, light and thermal environments were used to map spatial distributions. We then explored relationships between spatial form and psychophysical parameters. The study results show that the distance to road (DTR), green area ratio (GR) and street width (SW) are all potential spatial drivers for psychophysical information. Furthermore, the acoustical, light and thermal environments provide interactions for the public understanding of the environment. These findings contribute to the understanding and evaluation of psychophysical drivers, spurring regional industry in community life circles and contributing to developing suitable plans and industrial distribution in urban areas. Full article
Show Figures

Figure 1

Figure 1
<p>Location (<b>left</b>) and surrounding environment (<b>right</b>) of the university town sports center.</p>
Full article ">Figure 2
<p>Research area and observation sites.</p>
Full article ">Figure 3
<p>Spatial distribution of L<sub>Aeq</sub> (<b>left</b>) and temperature–humidity index (<b>right</b>).</p>
Full article ">Figure 4
<p>Spatial distribution diagram of surface light coefficient in outdoor space (<b>left</b>) and surface illumination uniformity (<b>right</b>).</p>
Full article ">Figure 5
<p>Regression curve of physical environment indicators and public satisfaction.</p>
Full article ">Figure 6
<p>Correlation analysis between satisfaction and physical parameters.</p>
Full article ">Figure 7
<p>HCA of land use areas.</p>
Full article ">Figure 8
<p>Physical conditions of different land use types.</p>
Full article ">Figure 9
<p>Correlation between spatial factors and subjective and objective indicators.</p>
Full article ">
21 pages, 6956 KiB  
Article
Combined Effects of the Thermal-Acoustic Environment on Subjective Evaluations in Urban Park Based on Sensory-Walking
by Ye Chen, Fan Liu, Xinya Lin, Jing Liu, Ziyi Chen, Kailong Shi, Junyi Li and Jianwen Dong
Forests 2023, 14(6), 1161; https://doi.org/10.3390/f14061161 - 5 Jun 2023
Cited by 10 | Viewed by 2410
Abstract
Studying the impact of various factors on environmental perception is crucial because humans live in an environment where these factors interact and blend. The thermal-acoustic environment is the major factor that affects the overall perception of urban parks. This study focuses on urban [...] Read more.
Studying the impact of various factors on environmental perception is crucial because humans live in an environment where these factors interact and blend. The thermal-acoustic environment is the major factor that affects the overall perception of urban parks. This study focuses on urban parks in the subtropical region, with Xihu Park in Fuzhou, China, as the research area. Through measurements and questionnaires, this study explores the effects of the thermal-acoustic environment in urban parks on subjective evaluation (thermal assessment, acoustic assessment, and overall environmental assessment). The results reveal that: (1) a higher temperature significantly increases the sensation of heat and lowers thermal comfort, heat acceptance, and overall thermal environment evaluation scores. The type of sound source has a significant positive impact on thermal assessment, and the higher the ranking of the sound source type, the greater its positive impact on thermal assessment. (2) Regarding acoustic evaluation, higher sound pressure level is associated with more negative subjective ratings of loudness, harshness, intensity, and excitement. In contrast, positive sound sources can enhance comfort, preference, disorder, coordination, and overall soundscape evaluation. Additionally, temperature increases tend to result in more negative harshness, intensity, and coordination ratings. The interaction between temperature and sound pressure level also significantly affects subjective loudness, harshness, and intensity. (3) Overall environmental evaluation is also affected by temperature, with increasing temperatures leading to decreased comfort and satisfaction while increasing irritation. High sound pressure environments result in worse overall irritation ratings, while positive sound sources can significantly enhance overall comfort, irritation, and satisfaction ratings. Furthermore, the interaction between temperature and sound pressure level significantly impacts overall irritation and satisfaction ratings. These findings are significant for managing and improving the park’s thermal environment and soundscape, providing a practical framework for landscape architects. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Location of Fuzhou city in China map; (<b>b</b>) Xihu Park in Fuzhou city; (<b>c</b>) 12 sample sites within Xihu Park.</p>
Full article ">Figure 2
<p>Experimental process.</p>
Full article ">Figure 3
<p>The values of TSV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 4
<p>The values of TCV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 5
<p>The values of TAV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 6
<p>The values of OTV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 7
<p>The values of SLV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 8
<p>The values of ACV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 9
<p>The values of APV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 10
<p>The values of AHV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 11
<p>The values of APlV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 12
<p>The values of AFV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 13
<p>The values of AIV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 14
<p>The values of AEV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 15
<p>The values of ADV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 16
<p>The values of ACoV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 17
<p>The values of OAV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 18
<p>The values of OCV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 19
<p>The values of OAnV under different conditions of the thermal-acoustic environment.</p>
Full article ">Figure 20
<p>The values of OSV under different conditions of the thermal-acoustic environment.</p>
Full article ">
16 pages, 3747 KiB  
Article
Effects of Deciduous Forests on Adolescent Emotional Health in Urban Areas: An Example from the Autumn Ginkgo Forest in Chengdu
by Linjia Wu, Shixian Luo, Di Li, Qibing Chen, Jingting Li and Jiacai Wen
Forests 2023, 14(6), 1099; https://doi.org/10.3390/f14061099 - 26 May 2023
Cited by 4 | Viewed by 2282
Abstract
Many studies have shown that urban green spaces can promote emotional health. Deciduous forest is an important landscape and ecological resource of the city. However, the emotional impact of different behavior patterns in this kind of natural space with obvious seasonal changes are [...] Read more.
Many studies have shown that urban green spaces can promote emotional health. Deciduous forest is an important landscape and ecological resource of the city. However, the emotional impact of different behavior patterns in this kind of natural space with obvious seasonal changes are rarely discussed. This study explores the emotional feedback of two typical behavior patterns within an urban landscape forest in autumn: sitting and walking. We recruited 80 volunteers and divided them into a sitting viewing group (group S) and a walking viewing group (group W). On the premise of gender balance, they were randomly assigned to a natural path under a Ginkgo biloba forest in autumn for 15 min of viewing. Physiological and psychological indicators were used for monitoring. Blood pressure, heart rate and electroencephalography (EEG) were used for physiological indicators, and a POMS questionnaire was used for psychological indicators. A paired t-test and one-way ANOVA were used to analyze the physiological parameters of the two experimental groups, and a paired Wilcoxon signed-rank sum test was used to analyze the differences in psychological indexes between the two behavior groups. The results showed that the diastolic blood pressure and pulse of the sitting group decreased significantly under the seasonal deciduous forest, and the walking group attained higher “Engagement”, “Excitement”, and “Relaxation”. In the absolute α and β waves, there were significant differences in the parietal P8 channels between the sitting and walking groups, and significant differences in the RAB indicators of the AF3, F7, P7, FC5, FC6, F3 and T7 channels. The two behavior patterns can effectively reduce negative mood, and the “Vigor” mood in the walking group was significantly increased, which was significantly better than that of the sitting group in reducing negative mood. These results enrich research on the influence on emotional health in the field of seasonal green-space restoration. The differences of different behavior patterns can provide guidance for planning urban landscape forest construction and activity facilities. Full article
Show Figures

Figure 1

Figure 1
<p>Study site. (<b>a</b>) Map of the experimental location and of the studied sites. (<b>b</b>) Current situation map of the experimental site.</p>
Full article ">Figure 2
<p>Experimental procedure.</p>
Full article ">Figure 3
<p>Difference test of Group S and Group W paired samples. (<b>a</b>) Differences in paired samples of pre−test between S and W groups. (<b>b</b>) Differences in paired samples of post−test between S and W groups.</p>
Full article ">Figure 4
<p>Six emotional parameter values of Group S and Group W (*** <span class="html-italic">p</span> &lt; 0.001. ** <span class="html-italic">p</span> &lt; 0.01. * <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5
<p>The corresponding RAB index values of the 14 brain channels of the Group S and Group W participants (** <span class="html-italic">p</span> &lt; 0.01. * <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6
<p>Emotional states in Group S and Group W (T−A: T scores for tension-anxiety; D: depression; A−H: anger−hostility; V: vigor; F: fatigue; C: confusion; S, self−esteem; * <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 7
<p>Mood state values in Group S and Group W (* <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
20 pages, 5034 KiB  
Article
Improving the Indoor Environment through an Indoor Green Curtain System
by Ghulam Qadir, Niranjika Wijesooriya, Arianna Brambilla and Fernando Alonso-Marroquin
Buildings 2023, 13(5), 1307; https://doi.org/10.3390/buildings13051307 - 17 May 2023
Cited by 5 | Viewed by 3213
Abstract
People are spending more and more of their lives indoors, making thermal comfort and air quality essential factors for their health and well-being. The use of natural elements within indoor spaces can improve the indoor environment and air quality, but can also bring [...] Read more.
People are spending more and more of their lives indoors, making thermal comfort and air quality essential factors for their health and well-being. The use of natural elements within indoor spaces can improve the indoor environment and air quality, but can also bring multiple health and well-being, psychological, cognitive, and behavioral benefits due to its biophilic effect. Indoor vertical greenery strategy in buildings can give these benefits to the building occupants. In this study, a prototype of a living green curtain is assessed to evaluate the benefits that may derive when used as a shading device. The analysis evaluated the performance of the green curtain prototype compared to the other two scenarios, no curtains (control module) and external blind. Temperature, relative humidity, air quality, and solar radiation were measured in the indoor environment. Results indicate that the green curtain module was cooler by 0–4 °C than the control module during the peak solar radiation hours, and the difference even reached up to 8 °C on hotter days. Due to the evapotranspiration effect, the green curtain recorded the highest daily average relative humidity of 67%. This study demonstrates the potential ability of a green curtain to improve air quality and thermal comfort. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Isometric modeled image of the experimental set-up showing all the components, and exterior and interior environment. (<b>b</b>) Exploded view of the components of the experimental set-up. The model was designed and drafted in Autodesk Revit. (<b>c</b>) Experimental set-up showing three modules (NC, GC, and WB). Each section of the GC can be vertically rotated. The fully grown Philodendron cordatum plant is included on each section of the GC module. The hemp mesh running from top to bottom provided a climbing medium for the plant. (<b>d</b>) A 3D view of the plexiglass sheets in front of the modules. The external side of the modules is the glasshouse mimicking the Australian outback region climate. Detailed dimensions of the GC prototype and the experimental setup are shown in <a href="#app2-buildings-13-01307" class="html-app">Appendix A</a> (<a href="#buildings-13-01307-f0A1" class="html-fig">Figure A1</a> and <a href="#buildings-13-01307-f0A2" class="html-fig">Figure A2</a>).</p>
Full article ">Figure 2
<p>Experimental set-up showing three modules (NC, GC, and WB) and locations of all the sensors.</p>
Full article ">Figure 3
<p>The mechanism of thermal transfer and heat absorption in the GC module. A part of the incoming solar radiation <math display="inline"><semantics> <mrow> <msub> <mi>q</mi> <mrow> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> </mrow> </semantics></math> [W/m<sup>2</sup>] is absorbed by photosynthesis <math display="inline"><semantics> <mrow> <msub> <mi>q</mi> <mrow> <mi>p</mi> <mi>h</mi> </mrow> </msub> </mrow> </semantics></math> [W/m<sup>2</sup>] (black arrows) and heat <math display="inline"><semantics> <mrow> <msub> <mi>q</mi> <mi>h</mi> </msub> </mrow> </semantics></math> [W/m<sup>2</sup>] (blue arrows), and a part is reflected <math display="inline"><semantics> <mrow> <msub> <mi>q</mi> <mi>r</mi> </msub> </mrow> </semantics></math> [W/m<sup>2</sup>] (red arrow). The remaining <math display="inline"><semantics> <mrow> <msub> <mi>q</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </semantics></math> enters the building. In addition, the interior heat flow <math display="inline"><semantics> <mrow> <msub> <mi>q</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </semantics></math> [W/m<sup>2</sup>] is different than the exterior heat flow <math display="inline"><semantics> <mrow> <msub> <mi>q</mi> <mrow> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> </mrow> </semantics></math> [W/m<sup>2</sup>] due to the amount of heat loss by evapotranspiration and the solar radiation converted into heat. The temperature profile is constructed based on the hypothesis of quasi-static equilibrium, and the temperature gradients are calculated based on thermal material parameters.</p>
Full article ">Figure 4
<p>(<b>a</b>) Mean hourly outdoor temperature and relative humidity (with error bars) recorded during the experimental period (4 November 2021–21 March 2022). (<b>b</b>) Mean hourly solar radiation intensity (with error bars) in solar radiation hours recorded during the experimental period (8 October 2021–21 March 2022).</p>
Full article ">Figure 5
<p>A typical presentation of the daily solar radiation and temperature measurements recorded during the experiment. (<b>a</b>) Solar radiation intensity recorded on 1 February 2022 externally. The data were recorded after every 2 min. (<b>b</b>) Temperature data of 1 February 2022 for the outdoor environment, and the inside of the three modules (NC, GC, and WB). The pattern shows three time frames: before the peak hours (10:30–12:30 hrs), at the peak hours (12:30–14:00 hrs), and after the peak hours (14:30–18:00 hrs). The time frames change on daily basis based on the solar angle.</p>
Full article ">Figure 6
<p>The difference between the temperature of NC and GC recorded during the peak solar radiation hours. The horizontal axis shows the outside temperature, and the vertical axis shows the difference of temperature between NC and GC. The black dots in late summer (February) corresponds to 1 February 2022 data points shown in <a href="#buildings-13-01307-f005" class="html-fig">Figure 5</a>.</p>
Full article ">Figure 7
<p>The complete recorded temperature data (solar and non-solar radiation hours) shown as box plots with error bars for outside temperature (OT) and the three modules (NC, GC, and WB) every month. The box plot shows a median (solid middle line), mean value (marker—(×)), the interquartile ranges (upper and lower limit lines of the boxes), and the range of maximum to minimum values (the whiskers), except for “outliers”.</p>
Full article ">Figure 8
<p>The complete recorded relative humidity data (solar and non-solar radiation hours) shown as box plots with error bars for outside temperature (OT) and inside the three modules (NC, GC, and WB) in every month. The box plot shows a median (solid middle line), mean value (marker—(×)), the interquartile ranges (upper and lower limit lines of the boxes), and the range of maximum to minimum values (the whiskers), except for “outliers”.</p>
Full article ">Figure 9
<p>The frequencies of the temperature and relative huimidities inside the modules with moving average lines (black dotted) shown in black. The horizontal axis lines show a certain range of temperature and RH. The vertical axis line shows the frequency of occurrence of temperature and RH.</p>
Full article ">Figure 10
<p>(<b>a</b>) Hourly mean data of AQ for GC and WB modules. The error bars were calcualted using standard error (SE); formula: SE = Standard Deviation/√ (sample size). These mean data were calculated from the complete raw data measured every 30 min from 1 March 2022 to 21 March 2022. (<b>b</b>) The box plot data distribution of the AQ data. The box plot shows median (solid middle line), mean marker (×) and the interquartile ranges; the whiskers give the range of maximum to minimum, except for “outliers”.</p>
Full article ">Figure A1
<p>Front view and isometric 3D modeled view of all the components of the green curtain prototype. All units in mm.</p>
Full article ">Figure A2
<p>Section and top view of all the components of the experimental set-up. All units in mm.</p>
Full article ">
16 pages, 3534 KiB  
Article
How Does the Intelligent Monitoring System Influence the Sense of Security of the Elderly in Home Care? A Case Study of the Hubin Community in Ningde City
by Yan Ma and Wei Xu
Buildings 2023, 13(5), 1255; https://doi.org/10.3390/buildings13051255 - 10 May 2023
Cited by 3 | Viewed by 1680
Abstract
Under the background of rapid aging in China, the security of the elderly in home care has become the focus of social attention. The present study takes the Hubin community of Ningde City as the case study area; and uses hierarchical regression analysis, [...] Read more.
Under the background of rapid aging in China, the security of the elderly in home care has become the focus of social attention. The present study takes the Hubin community of Ningde City as the case study area; and uses hierarchical regression analysis, structural equation model, and other methods to explore the influence path of the sense of security of the elderly in home care under the moderating effect of the intelligent monitoring system, and the subjective and objective demands for such equipment among the elderly. The results showed that compared with family care and social support, the influence of individual health on the sense of security of the elderly in home care was dominant. The intelligent monitoring system can play a negative moderating effect in the process of individual health directly affecting the sense of security of the elderly in home care, and indirectly improving the sense of security of the elderly in home care. Therefore, under the premise of paying attention to the individual health of the elderly at home, the reasonable application of the intelligent monitoring system and full play to its moderating effect is a practical way to improve the sense of security of the elderly in home care. In addition, the family and society should also pay more attention to the security of the elderly in home care, so as to promote the overall improvement of their sense of security. Full article
Show Figures

Figure 1

Figure 1
<p>Research framework of the influence path of the sense of security of the elderly in home care under the moderating effect of the intelligent monitoring system.</p>
Full article ">Figure 2
<p>Hypotheses about the influencing mechanisms of the sense of security of the elderly in home care.</p>
Full article ">Figure 3
<p>Smart management platform of the Hubin community.</p>
Full article ">Figure 4
<p>Analysis of the slope of the moderating effects.</p>
Full article ">Figure 5
<p>Results of the structural equation model analysis: (<b>a</b>) Analysis results of Model 1; (<b>b</b>) Analysis results of Model 2. Rectangles are the observable variables, and ellipses are the latent variables. The red, blue, and gray arrows indicate significant positive, significant negative and insignificant effects, respectively. The values next to the arrows are standardized regression coefficients. ** and * are significant at 1% and 5% levels, respectively.</p>
Full article ">Figure 6
<p>The subjective willingness of the elderly to use the intelligent monitoring system.</p>
Full article ">Figure 7
<p>The objective demand for the intelligent monitoring system of the elderly.</p>
Full article ">
24 pages, 11899 KiB  
Article
Urban Residents’ Preferred Walking Street Setting and Environmental Factors: The Case of Chengdu City
by Qian Yan, Shixian Luo and Jiayi Jiang
Buildings 2023, 13(5), 1199; https://doi.org/10.3390/buildings13051199 - 30 Apr 2023
Cited by 6 | Viewed by 3259
Abstract
To date, most studies on building environments and walking behavior have utilized top-down approaches (e.g., big data or social media data) yet lack bottom-up approaches to verify their findings. Therefore, this study divided urban streets into three main settings (community streets, waterfront paths, [...] Read more.
To date, most studies on building environments and walking behavior have utilized top-down approaches (e.g., big data or social media data) yet lack bottom-up approaches to verify their findings. Therefore, this study divided urban streets into three main settings (community streets, waterfront paths, and urban greenways) and collected data from a sample of 411 urban residents in Chengdu via an online questionnaire to examine the impact of street environmental factors on their choice of walking path. It was found that: (1) people with higher levels of education preferred streets with water bodies as walking paths; (2) the environmental quality of the physical and aesthetic aspects both had an impact on residents’ choices, and the aesthetic environmental quality had a stronger impact; (3) the impact of most infrastructures on community streets was stronger than on other streets; (4) residents were more concerned about the environmental quality of waterfront paths and urban greenways. Based on these findings, three design patterns for residents’ preferred street environments are proposed. Full article
Show Figures

Figure 1

Figure 1
<p>The location of the study area.</p>
Full article ">Figure 2
<p>The basic framework of the online questionnaire.</p>
Full article ">Figure 3
<p>Statistical results of responses to three different street settings.</p>
Full article ">Figure 4
<p>Community street design scenes.</p>
Full article ">Figure 5
<p>Waterfront path design scenes.</p>
Full article ">Figure 6
<p>Urban greenway design scenes.</p>
Full article ">
Back to TopTop