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Search Results (7,705)

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22 pages, 1103 KiB  
Article
Mechanism by Which Environmental Education Influences Pro-Environmental Behavior in Wuyishan National Park, China
by Xinyi Wu, Weiguo Jia and Tianyu Wu
Sustainability 2025, 17(1), 43; https://doi.org/10.3390/su17010043 (registering DOI) - 25 Dec 2024
Abstract
Environmental education is one of the main functions of China’s national parks, and it also plays a crucial role in the construction of an ecological civilization. Compared with the rest of Asia, the inception of national parks in China occurred relatively late, and [...] Read more.
Environmental education is one of the main functions of China’s national parks, and it also plays a crucial role in the construction of an ecological civilization. Compared with the rest of Asia, the inception of national parks in China occurred relatively late, and fostering tourists’ pro-environmental behavior is a challenging endeavor. According to the theoretical paradigm of stimulus–organism–response (SOR), in this study, we selected place attachment, environmental attitude, and environmental quality to construct a theoretical model of the relationship between the perception of environmental education and pro-environmental behavior. We conducted a sample survey of 728 tourists who had been to Wuyishan National Park and constructed a structural equation model. Our findings indicate the following: (1) pro-environmental behavior is directly and significantly promoted by one’s perception of environmental education, place attachment, and environmental attitude; (2) place attachment and environmental attitude play an intermediary role between one’s perception of environmental education and pro-environmental behavior; and (3) the quality of the external environment positively influences the correlation between one’s perception of environmental education and place attachment. This study provides solutions and suggestions for Wuyishan National Park to improve the effectiveness of environmental education regarding tourists’ pro-environmental behavior. Full article
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<p>The theoretical model of this study.</p>
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<p>A path coefficient diagram of the structural equation model.</p>
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<p>The moderating effect of environmental quality on the perception of environmental education and place attachment.</p>
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26 pages, 6009 KiB  
Article
Enhancing Campus Environment: Real-Time Air Quality Monitoring Through IoT and Web Technologies
by Alfiandi Aulia Rahmadani, Yan Watequlis Syaifudin, Budhy Setiawan, Yohanes Yohanie Fridelin Panduman and Nobuo Funabiki
J. Sens. Actuator Netw. 2025, 14(1), 2; https://doi.org/10.3390/jsan14010002 (registering DOI) - 25 Dec 2024
Abstract
Nowadays, enhancing campus environments through mitigations of air pollutions is an essential endeavor to support academic achievements, health, and safety of students and staffs in higher educational institutes. In laboratories, pollutants from welding, auto repairs, or chemical experiments can drastically degrade the air [...] Read more.
Nowadays, enhancing campus environments through mitigations of air pollutions is an essential endeavor to support academic achievements, health, and safety of students and staffs in higher educational institutes. In laboratories, pollutants from welding, auto repairs, or chemical experiments can drastically degrade the air quality in the campus, endangering the respiratory and cognitive health of students and staffs. Besides, in universities in Indonesia, automobile emissions of harmful substances such as carbon monoxide (CO), nitrogen dioxide (NO2), and hydrocarbon (HC) have been a serious problem for a long time. Almost everybody is using a motorbike or a car every day in daily life, while the number of students is continuously increasing. However, people in many campuses including managements do not be aware these problems, since air quality is not monitored. In this paper, we present a real-time air quality monitoring system utilizing Internet of Things (IoT) integrated sensors capable of detecting pollutants and measuring environmental conditions to visualize them. By transmitting data to the SEMAR IoT application server platform via an ESP32 microcontroller, this system provides instant alerts through a web application and Telegram notifications when pollutant levels exceed safe thresholds. For evaluations of the proposed system, we adopted three sensors to measure the levels of CO, NO2, and HC and conducted experiments in three sites, namely, Mechatronics Laboratory, Power and Emission Laboratory, and Parking Lot, at the State Polytechnic of Malang, Indonesia. Then, the results reveal Good, Unhealthy, and Dangerous for them, respectively, among the five categories defined by the Indonesian government. The system highlighted its ability to monitor air quality fluctuations, trigger warnings of hazardous conditions, and inform the campus community. The correlation of the sensor levels can identify the relationship of each pollutant, which provides insight into the characteristics of pollutants in a particular scenario. Full article
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<p>System architecture for air quality monitoring system.</p>
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<p>Design overview of SEMAR IoT server platform.</p>
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<p>Hardware of air quality monitoring system.</p>
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<p>Web interface example.</p>
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<p>Data graph interface on <span class="html-italic">SEMAR</span> IoT server platform.</p>
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<p>Data export interface on <span class="html-italic">SEMAR</span> IoT server platform.</p>
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<p>Indonesian comparative data by <span class="html-italic">BMKG</span> [<a href="#B50-jsan-14-00002" class="html-bibr">50</a>].</p>
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<p>Initial system test data as of 2023.</p>
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<p>Overview and sensor location at <span class="html-italic">Mechatronics Laboratory</span>.</p>
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<p>Reading data of CO, NO<sub>2</sub>, and HC at <span class="html-italic">Mechatronics Laboratory</span>.</p>
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<p>Relationships between CO, NO<sub>2</sub>, and HC at <span class="html-italic">Mechatronics Laboratory</span>.</p>
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<p>Overview and sensor location at <span class="html-italic">Power and Emissions Laboratory</span>.</p>
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<p>Reading data of CO, NO<sub>2</sub>, and HC at <span class="html-italic">Power and Emissions Laboratory</span>.</p>
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<p>Relationships between CO, NO<sub>2</sub>, and HC at <span class="html-italic">Power and Emissions Laboratory</span>.</p>
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<p>Overview and sensor location at <span class="html-italic">Parking Lot</span>.</p>
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<p>Reading data of CO, NO<sub>2</sub>, and HC at <span class="html-italic">Parking Lot</span>.</p>
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<p>Relationships between CO, NO<sub>2</sub>, and HC at <span class="html-italic">Parking Lot</span>.</p>
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20 pages, 4509 KiB  
Article
Assessing Urban Park Accessibility and Equity Using Open-Source Data in Jiujiang, China
by Lihui Gao, Zhen Xu, Ziqi Shang, Mingyu Li and Jianhui Wang
Land 2025, 14(1), 9; https://doi.org/10.3390/land14010009 (registering DOI) - 25 Dec 2024
Abstract
Urban parks have become more important in residents’ daily lives owing to both rapid urbanization and increasing environmental pressures. Globally, there is growing concern regarding equitable access to urban parks, particularly in densely populated countries such as China. This study focuses on the [...] Read more.
Urban parks have become more important in residents’ daily lives owing to both rapid urbanization and increasing environmental pressures. Globally, there is growing concern regarding equitable access to urban parks, particularly in densely populated countries such as China. This study focuses on the accessibility and equity of urban parks in Jiujiang using walking route data obtained from an open-source platform through an application programming interface to assess park accessibility. We explored the equity of park accessibility from three perspectives: spatial, opportunity, and group equity. The results indicated that urban parks in central Jiujiang have significantly better accessibility than those in suburban areas. Less than half of the study area was covered within a 1500 m walking distance. There is a large service blind catchment in park accessibility. Similarly, disparities in the equity of park accessibility were observed. The Penpu sub-district has the best accessibility; in contrast, the Qili Lake sub-district benefits from less than 10% of park accessibility. Wealthier communities benefit more from park accessibility than disadvantaged communities. Our study aims to provide strategies for urban planning for policymakers. Strategies such as increasing park entrances, opening gated communities, and creating shared green spaces may help ensure environmental equity. Full article
(This article belongs to the Special Issue Spatial Justice in Urban Planning (Second Edition))
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<p>Study area and the locations of urban parks.</p>
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<p>Sample of walking routes.</p>
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<p>Flowchart of the study.</p>
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<p>Service area based on different ways. (<b>a</b>) Euclidean distance; (<b>b</b>) walking distance.</p>
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<p>Service AOI based on walking distance.</p>
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<p>Number of POI accessible to the park in different sub-districts.</p>
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<p>Number of AOI accessible to the park in different sub-districts.</p>
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<p>Park options within a 1000 m and 1500 m walking distance.</p>
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26 pages, 10534 KiB  
Article
Assessment of the Impact of Multi-Agent Model-Based Traffic Optimization Interventions on Urban Travel Behavior
by Lihu Pan, Nan Yang, Linliang Zhang, Rui Zhang, Binhong Xie and Huimin Yan
Electronics 2025, 14(1), 13; https://doi.org/10.3390/electronics14010013 - 24 Dec 2024
Abstract
With the continuous increase in car ownership, alleviating traffic congestion and reducing carbon emissions have become key challenges in urban traffic management. This study constructs a multi-agent model to evaluate the impact of various traffic optimization interventions on citizens’ travel behavior and traffic [...] Read more.
With the continuous increase in car ownership, alleviating traffic congestion and reducing carbon emissions have become key challenges in urban traffic management. This study constructs a multi-agent model to evaluate the impact of various traffic optimization interventions on citizens’ travel behavior and traffic carbon emission levels. Different from previous mathematical models, this model integrates computer technology and geographic information systems, abstracting travelers as agents with self-control capabilities who can make independent decisions based on their own circumstances, thus reflecting individual differences in travel behavior. Using the real geographical and social environment of the high-density travel area in Xiaodian District, Taiyuan City as a case study, this research explores the overall improvement in the urban transportation system through the implementation of multiple traffic optimization interventions, such as a parking reservation system, the promotion of the park-and-ride mode, and the optimization of public transportation services. Studies have demonstrated that, compared to reducing bus fares, travelers exhibit a greater sensitivity to waiting times. Reducing bus departure intervals can increase the proportion of park-and-ride trips to 25.79%, surpassing the 19.19% increase observed with fare adjustments. A moderate increase in the proportion of reserved parking spaces can elevate the public transport load to 49.85%. The synergistic effect of a combined strategy can further boost the public transport share to 50.62%, while increasing the park-and-ride trip proportion to 33.6%, thereby highlighting the comprehensive benefits of implementing multiple strategies in tandem. When the parking reservation system is effectively implemented, carbon dioxide emissions can be reduced from over 800 kg to below 200 kg, and the proportion of vehicle cruising can decrease from over 20% to under 15%. These results underscore the critical role of the parking reservation strategy in optimizing traffic flow and advancing environmental sustainability. Full article
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<p>Target study area.</p>
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<p>Model framework.</p>
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<p>Model hierarchy.</p>
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<p>Real urban road network.</p>
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<p>System operation process.</p>
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<p>The impact of bus fares and frequency of departure on travel choices.</p>
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<p>The impact of bus frequency on average arrival time.</p>
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<p>The impact of the proportion of parking spaces that can be reserved on the uptake of park-and-ride and public transport.</p>
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<p>The impact of combination strategies on the choice of park-and-ride travel.</p>
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<p>The impact of a combination strategy on the average arrival time.</p>
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<p>The impact of combined strategies on public transport load.</p>
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<p>The impact of parking reservations on cruising time and cruising ratio.</p>
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<p>The impact of parking reservations on cruising distance and cruising speed.</p>
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<p>The impact of parking reservation on the average distance traveled by car and the public transport load factor.</p>
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<p>Average vehicle speed and average cruising time in reserved and non-reserved scenarios.</p>
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<p>Cruising ratio and cruising distance in reserved and non-reserved scenarios.</p>
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<p>Simulation of multiple processes in parallel.</p>
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20 pages, 5202 KiB  
Article
Smart Deployable Scissor Lift Brace to Mitigate Earthquake Risks of Soft-Story Buildings
by Vijayalaxmi Rangrej and Ricky W. K. Chan
Appl. Sci. 2025, 15(1), 27; https://doi.org/10.3390/app15010027 - 24 Dec 2024
Abstract
This article introduces a novel smart deployable scissor lift brace system designed to mitigate earthquake risks in buildings prone to the soft-story effect. The system addresses the limitations of traditional retrofitting methods, providing an efficient solution for enhancing the structural integrity of buildings [...] Read more.
This article introduces a novel smart deployable scissor lift brace system designed to mitigate earthquake risks in buildings prone to the soft-story effect. The system addresses the limitations of traditional retrofitting methods, providing an efficient solution for enhancing the structural integrity of buildings while preserving the functionality of open lower floors, commonly used for car parking or retail spaces. The soft-story effect, characterized by a sudden reduction in lateral stiffness in one or more levels of a building, often leads to catastrophic collapses during large earthquakes, resulting in significant structural damage and loss of life. The proposed system is triggered by signals from the Earthquake Early Warning (EEW) system, advanced technologies capable of detecting and broadcasting earthquake alerts within seconds which are currently implemented in countries and regions such as Japan, parts of the USA, and parts of Europe. The smart deployable system functions by instantly activating upon receiving EEW signals. Unlike traditional retrofitting approaches, such as adding braces or infill walls, which compromise the open layout of lower floors, this innovative device deploys dynamically during seismic events to enhance the building’s stiffness and lateral stability. The article demonstrates the system’s functionality through a conceptual framework supported by proof-of-concept experiments. Historical earthquake time histories are simulated to test its effectiveness. The results reveal that the system significantly improves the stiffness of the structure, reducing displacement responses during events of seismic activity. If properly proportioned and optimized, this system has the potential for widespread commercialization as a seismic risk mitigation solution for buildings vulnerable to the soft-story effect. Full article
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<p>Cross-section of a typical soft-story building.</p>
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<p>Schematic diagram of an earthquake early warning system.</p>
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<p>Smart deployable scissor lift brace system (<b>a</b>) in its undeployed state and (<b>b</b>) in its deployed state.</p>
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<p>Flowchart of the smart deployable scissor lift system.</p>
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<p>Structure in the numerical example.</p>
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<p>Roof displacement response in the numerical example.</p>
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<p>Overview of the experimental setup—service condition.</p>
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<p>Overview of the experimental setup—top view.</p>
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<p>Overview of the experimental setup—active condition.</p>
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<p>Input excitations in the experiment, (<b>a</b>) time histories and (<b>b</b>) response spectra.</p>
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<p>Circuit diagram of the smart deployable scissor lift brace system.</p>
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<p>Roof level vibrations in the experiments. (<b>a</b>) 1979 Imperial Valley; (<b>b</b>) 1992 Mendocino; (<b>c</b>) 1994 Northridge; (<b>d</b>) 1995 Kobe.</p>
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<p>Peak roof vibrations.</p>
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<p>Inter-story drifts in the experiments. (<b>a</b>) 1979 Imperial Valley; (<b>b</b>) 1992 Mendocino; (<b>c</b>) 1994 Northridge; (<b>d</b>) 1995 Kobe.</p>
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29 pages, 15679 KiB  
Article
Linking Plant Diversity and Urban Uses at the City-Block Scale to Inform Urban Planning
by Muriel Deparis, Nicolas Legay, Arthur Castellanos, Chloé Duque, Ulysse Guilloteau, Francis Isselin-Nondedeu and Sébastien Bonthoux
Land 2025, 14(1), 3; https://doi.org/10.3390/land14010003 - 24 Dec 2024
Abstract
A challenge for urban ecology is to reduce biotic homogenisation by promoting plant diversity from local to city scales. As ecological and social components constantly interact in cities, an urban landscape characterisation reflecting socio-spatial functioning seems essential. However, spatially explicit description of cities [...] Read more.
A challenge for urban ecology is to reduce biotic homogenisation by promoting plant diversity from local to city scales. As ecological and social components constantly interact in cities, an urban landscape characterisation reflecting socio-spatial functioning seems essential. However, spatially explicit description of cities at a relevant scale for urban planning are uncommon in ecological studies. Here, we explored a new approach based on the city-block scale, common in urban geography and planning, to directly link urban uses and patterns of herbaceous plant communities. We characterised all city blocks of a medium-sized French city (Blois). We inventoried grassland and meadows in 129 city blocks (10% of the whole city) for seven public and private urban uses (collective housing, individual housing, industrial, public service, park, land reserve, and road verge). We measured alpha diversity, community composition, regional originality of urban uses, and beta diversity between them. Urban land reserved for future development and parks harbour unique community composition within the city. Collective and individual housings have the same average alpha diversity, but the variability in community composition was higher for individual housing blocks. School and industrial city blocks have important alpha diversity and regional originality. Road verges have the highest alpha diversity but low regional originality and many common urban and regional species. Large green spaces with original communities should be protected during urban densification. The verticalization of residential housing could be an efficient means of internal urban densification if the lowest level of management intensity is promoted to maintain diversified vegetation. Some little-studied uses (schools, industrial city blocks) present opportunities to impede urban homogenisation. Full article
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<p>Maps of Blois. (<b>Left</b>) All city blocks (n = 1314). (<b>Right</b>) Surveyed (129) city blocks. Aerial images from IGN.</p>
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<p>(<b>A</b>) Alpha diversity and (<b>B</b>) regional originality between urban uses. Letters represent pairwise Tukey’s comparison test. Black dots = averages. Grey points = excluded outliners (exclusion had no impact on results). sd = standard deviation.</p>
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<p>Differences in species composition between city blocks with various urban uses, measured with abundance-based pairwise dissimilarity in communities (<b>A</b>–<b>C</b>). Total dissimilarity values d<sub>BC</sub> (on top) measure how different the species composition of one urban use is from all the other uses. Values are broken down into d<sub>BC-bal</sub> to account for species turnover, i.e., the replacement of some species in one urban use with different species from another urban use, without variation in total number of species (<b>B</b>), and into d<sub>BC-gra</sub> to account for species nestedness, i.e., the loss of some species from one urban use to another (<b>C</b>).</p>
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<p>NMDS ordination plot of city-block vegetation composition based on Bray–Curtis dissimilarity values (stress 0.23, non-metric fit, R<sup>2</sup> = 0.945). Ellipses indicate standards. Colours and symbols represent different urban uses (n = 125). Species coordinates are listed in <a href="#app7-land-14-00003" class="html-app">Appendix G</a>.</p>
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18 pages, 6069 KiB  
Article
Techno-Economic Feasibility of Fuel Cell Vehicle-to-Grid Fast Frequency Control in Non-Interconnected Islands
by Tziotas Christos, Evangelos E. Pompodakis and Georgios I. Orfanoudakis
Hydrogen 2025, 6(1), 1; https://doi.org/10.3390/hydrogen6010001 - 24 Dec 2024
Abstract
This paper presents an innovative approach to fast frequency control in electric grids by leveraging parked fuel cell electric vehicles (FCEVs), especially heavy-duty vehicles such as trucks. Equipped with hydrogen storage tanks and fuel cells, these vehicles can be repurposed as dynamic grid-support [...] Read more.
This paper presents an innovative approach to fast frequency control in electric grids by leveraging parked fuel cell electric vehicles (FCEVs), especially heavy-duty vehicles such as trucks. Equipped with hydrogen storage tanks and fuel cells, these vehicles can be repurposed as dynamic grid-support assets while parked in designated areas. Using an external cable and inverter system, FCEVs inject power into the grid by converting DC from fuel cells into AC, to be compatible with grid requirements. This functionality addresses sudden power imbalances, providing a rapid and efficient solution for frequency stabilization. The system’s external inverter serves as a central control hub, monitoring real-time grid frequency and directing FCEVs to supply virtual inertia and primary reserves through droop control, as required. Simulation results validate that FCEVs could effectively complement thermal generators, preventing unacceptable frequency drops, load shedding, and network blackouts. A techno-economic analysis demonstrates the economic feasibility of the concept, concluding that each FCEV consumes approximately 0.3 kg of hydrogen per day, incurring a daily cost of around EUR 1.5. For an island grid with a nominal power of 100 MW, maintaining frequency stability requires a fleet of 100 FCEVs, resulting in a total daily cost of EUR 150. Compared to a grid-scale battery system offering equivalent frequency response services, the proposed solution is up to three times more cost-effective, highlighting its economic and technical potential for grid stabilization in renewable-rich, non-interconnected power systems. Full article
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<p>(<b>a</b>) Conceptual diagram of the proposed FCEV-to-grid fast frequency control. (<b>b</b>) Internal connection of FCEV.</p>
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<p>Droop frequency control of FCEVs.</p>
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<p>Simulation model of the examined study.</p>
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<p>Frequency response for Scenario 1.</p>
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<p>Total power of gas turbines for Scenario 1.</p>
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<p>Total power of FCEVs for Scenario 1.</p>
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<p>Consumed hydrogen per vehicle for Scenario 1.</p>
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<p>Frequency response for Scenario 2.</p>
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<p>Total power of gas turbines for Scenario 2.</p>
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<p>Total power of FCEVs for Scenario 2.</p>
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<p>Consumed hydrogen per FCEV for Scenario 2.</p>
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<p>Frequency response for Scenario 3.</p>
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<p>Total power of gas turbines for Scenario 3.</p>
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<p>Total power of FCEVs for Scenario 3.</p>
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<p>Consumed hydrogen per FCEV for Scenario 3.</p>
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20 pages, 33934 KiB  
Article
Distribution of Bird Communities and Habitat Corridor Composition Shaped by Environmental Factors in Urbanized Landscapes: A Case Study in Beijing, China
by Lingqian Tan, Ruiqi Huang, Peiyao Hao, Zhipeng Huang and Yinglin Wang
Forests 2025, 16(1), 1; https://doi.org/10.3390/f16010001 - 24 Dec 2024
Abstract
Urban biodiversity is crucial for ecological security, balance, and important for fostering awareness on human-nature interconnectedness among the public. The diversity of birds, as an urban ecosystem indicator, reflects ecosystem services and is impacted by urban development. To explore the impacts of urbanization [...] Read more.
Urban biodiversity is crucial for ecological security, balance, and important for fostering awareness on human-nature interconnectedness among the public. The diversity of birds, as an urban ecosystem indicator, reflects ecosystem services and is impacted by urban development. To explore the impacts of urbanization on bird diversity, stratified to songbirds, terrestrial birds, climbers, swimming birds, wading birds, and raptors, we specifically investigated the existing and potential distributions of selected bird species, analyzed different contributions of environmental factors, and compared these with urban biodiversity conservation policies. We used bird records from the China Birdwatching Record Center (over 1400 species of birds for querying) and remotely-sensed landcover data, based on the MaxEnt model, to analyze bird spatial distribution characteristics and potential habitat corridors throughout Beijing. The results showed that: (1) Songbirds and terrestrial birds were predominantly concentrated in water areas in urban areas. Wading birds, climbers, swimming birds, and raptors were gathered in forest-covered areas, near wetlands and farmland in suburban areas. Projections indicated that the raptor species Common Kestrel (Falco tinnunculus) showed a notable shift toward urban cores. (2) Among climbers, Gray-headed Pygmy Woodpecker (Dendrocopos canicapillus) occupied the highest proportion of high-quality habitats (10.34%), contrasting with the representative songbird species Blackbird (Turdus merula) at 1.38%, which demonstrated adaptability to urban environments. Critical habitats were concentrated in shrub forests, supporting habitat connectivity. Proximity to water bodies was critical for raptors, wading, swimming, and climbers, whereas terrestrial birds and songbirds were more affected by artificial lighting. (3) The “urban and suburban park rings” policy has effectively enhanced habitat quality and connectivity, promoting urban biodiversity resilience. This study improves our understanding of how different bird communities adapt to urbanization in terms of habitats and movement corridors, and provides useful information for formulating urban bird biodiversity conservation strategies. Full article
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<p>Location and land use of Beijing (Map of China from China Standard Map, <a href="http://bzdt.ch.mnr.gov.cn/" target="_blank">http://bzdt.ch.mnr.gov.cn/</a>, produced by the Ministry of Natural Resources of China, accessed on 1 November 2024).</p>
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<p>Bird ecological network assessment framework.</p>
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<p>Quantitative variation in the areas of bird habitats from 2015 to 2020 in Beijing.</p>
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<p>Spatiotemporal variation in the density distribution of birds from 2015 to 2020 in Beijing.</p>
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<p>Spatiotemporal variation in the density distribution of six bird communities in Beijing in 2019. ((<b>a</b>): songbirds; (<b>b</b>): terrestrial birds; (<b>c</b>): climbers; (<b>d</b>): swimming birds; (<b>e</b>): wading birds; (<b>f</b>): raptors).</p>
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<p>Predicted spatiotemporal variation in the density distribution of representative bird species in Beijing ((<b>a</b>): <span class="html-italic">Corvus macrorhynchos</span>; (<b>b</b>): <span class="html-italic">Turdus merula</span>; (<b>c</b>): <span class="html-italic">Streptopelia chinensis</span>; (<b>d</b>): <span class="html-italic">Dendrocopos canicapillus</span>; (<b>e</b>): <span class="html-italic">Alcedo atthis</span>; (<b>f</b>): <span class="html-italic">Aix galericulata</span>; (<b>g</b>): <span class="html-italic">Gallinula chloropus</span>; (<b>h</b>): <span class="html-italic">Ardea alba</span>; (<b>i</b>): <span class="html-italic">Ardea cinerea</span>; (<b>j</b>): <span class="html-italic">Falco tinnunculus</span>).</p>
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<p>Spatiotemporal distribution of critical habitats and potential habitat corridors for representative bird species in Beijing ((<b>a</b>): <span class="html-italic">Turdus merula</span>; (<b>b</b>): <span class="html-italic">Streptopelia chinensis</span>; (<b>c</b>): <span class="html-italic">Dendrocopos canicapillus</span>; (<b>d</b>): <span class="html-italic">Aix galericulata</span>; (<b>e</b>): <span class="html-italic">Ardea alba</span>; (<b>f</b>): <span class="html-italic">Falco tinnunculus</span>).</p>
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<p>The quantity of potential corridor areas for six representative bird species in Beijing.</p>
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<p>Proportion of various qualities of habitat available to the six bird species in Beijing.</p>
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<p>Proportion of elements in LULC on potential habitat corridors of six bird species in Beijing.</p>
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<p>Comparison of contribution rates of environmental factors of birds in the study area.</p>
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<p>Comparison results of potential habitat corridors for birds with the Beijing Urban Overall Plan (2016–2035).</p>
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23 pages, 6074 KiB  
Article
Characteristics of Air Toxics from Multiple Sources in the Kaohsiung Coastal Industrial Complex and Port Area
by Jiun-Horng Tsai, Pei-Chi Yeh, Jing-Ju Huang and Hung-Lung Chiang
Atmosphere 2024, 15(12), 1547; https://doi.org/10.3390/atmos15121547 - 23 Dec 2024
Abstract
This study focuses on understanding the health impacts of hazardous air pollutant (HAP) emissions from the Kaohsiung Coastal Industrial Park and port areas in southern Taiwan on neighboring communities. Six important HAPs (formaldehyde, benzene, arsenic, vinyl chloride, 1,3-butadiene, and diesel particulate matter (DPM)) [...] Read more.
This study focuses on understanding the health impacts of hazardous air pollutant (HAP) emissions from the Kaohsiung Coastal Industrial Park and port areas in southern Taiwan on neighboring communities. Six important HAPs (formaldehyde, benzene, arsenic, vinyl chloride, 1,3-butadiene, and diesel particulate matter (DPM)) were identified in this area. By considering the impact of emissions from stationary sources, mobile sources, and port activities, the relative importance of each emission source was assessed. In addition, the AERMOD (AMS (American Meteorological Society)/EPA (U.S. Environmental Protection Agency)) diffusion model was employed to simulate the increases in target pollutant concentrations and to analyze the influence and spatial distribution of various emission sources on atmospheric HAP concentrations in nearby communities. This study further evaluated the exposure risks of composite HAP sources, to understand their impacts and to determine their control priorities. The findings revealed that emissions and carcinogenic weighting from composite sources, particularly DPM emissions from port activities, including from ocean-going vessels and heavy-duty vehicles, had a significant impact. The maximum incremental concentration for DPM in the study area occurred around the port area, whereas the maxima for formaldehyde, benzene, arsenic, vinyl chloride, and 1,3-butadiene were all observed within the industrial complex. DPM emissions from port activities, 1,3-butadiene emissions from mobile sources, and benzene emissions from stationary sources were the composite sources with the greatest potential impacts. Over 90% of health risks were due to DPM, and the remaining health risks were due to 1,3-butadiene (6%), benzene (2%), arsenic (1%), and other species (less than 1%). DPM emissions were primarily influenced by port activities (77%), 1,3-butadiene emissions by mobile sources (45%), and benzene emissions by stationary sources (41%). A total of 25% of the area had risk values greater than 10−3, and 75% of the area had risk values between 10−3 and 10−4. The risk values in the densely populated areas were all greater than 10−4. The potential risk hotspots with risk values greater than 10−3 were located on the northwest side of the port and downwind of the industrial park. The key pollutants contributing to these hotspots were, in order, DPM (up to 80% cancer risk), formaldehyde, and 1,3-butadiene, all of which were significantly influenced by port activities. This indicates that the control of, and reduction in, HAP emissions from port activities should be prioritized. Full article
(This article belongs to the Section Air Quality and Health)
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<p>Population and emission sources near the industrial complex and port.</p>
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<p>Baseline scenario for (<b>a</b>) stationary source emissions and (<b>b</b>) their proportions.</p>
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<p>Baseline scenario for (<b>a</b>) mobile source emissions and (<b>b</b>) their proportions.</p>
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<p>Baseline scenario for (<b>a</b>) port activity emissions and (<b>b</b>) their proportions.</p>
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<p>Baseline scenario for (<b>a</b>) composite source emissions and (<b>b</b>) their proportions.</p>
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<p>QQ plot of station A and simulated data before and after correction for (<b>a</b>) formaldehyde, (<b>b</b>) arsenic, and (<b>c</b>) DPM.</p>
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<p>Spatial distribution of incremental concentrations of target species’ composite sources.</p>
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<p>Potential impact of incremental concentrations of each composite source in the grid.</p>
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<p>Grid distribution of potential risks from composite sources.</p>
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30 pages, 8481 KiB  
Article
Sustainable Parking Space Management Using Machine Learning and Swarm Theory—The SPARK System
by Artur Janowski, Mustafa Hüsrevoğlu and Malgorzata Renigier-Bilozor
Appl. Sci. 2024, 14(24), 12076; https://doi.org/10.3390/app142412076 - 23 Dec 2024
Abstract
The utilization of contemporary technology enhances the efficiency of parking resource management, contributing to more liveable and sustainable cities. In response to the growing challenges of urbanization, intelligent parking systems have emerged as a crucial solution for optimizing parking management, reducing traffic congestion, [...] Read more.
The utilization of contemporary technology enhances the efficiency of parking resource management, contributing to more liveable and sustainable cities. In response to the growing challenges of urbanization, intelligent parking systems have emerged as a crucial solution for optimizing parking management, reducing traffic congestion, and minimizing pollution. The primary aim of this study is to present the concept of the developed web application that supports finding available parking spaces, embodied in the SPARK system (Smart Parking Assistance and Resource Knowledge). The integration of the YOLOv9 (You Only Look Once) segmentation algorithm with Artificial Bee Colony (ABC) optimization, combined with the use of crowdsourced data and deep learning for image analysis, significantly enhances the SPARK system’s operational efficiency. It enables rapid and precise detection of available parking spaces while ensuring robustness and continuous improvement. The accuracy of detecting available parking spaces in the presented system, estimated at 87.33%, is satisfactory compared to similar studies worldwide. Full article
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<p>Theoretical workflow of the ABC algorithm (Source: Author’s own elaboration based on Karaboga [<a href="#B75-applsci-14-12076" class="html-bibr">75</a>]).</p>
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<p>2022 satellite image of the study area, illustrating parking challenges and high traffic density. (Source: Google Earth (© 2024 Maxar Technologies)).</p>
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<p>Overview of the volunteers’ buildings and the monitored area: (<b>a</b>) The buildings where the cameras were installed, showing their strategic positioning for monitoring the parking area; (<b>b</b>) An example image captured by the cameras, depicting the monitored area and parking conditions (Source: Author’s own elaboration).</p>
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<p>Map of the study area, showing the extent of parking coverage captured by the cameras and the reference points used for transformations. (Source: Author’s own elaboration).</p>
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<p>Training and validation loss and precision trends across 120 epochs. Early stopping at epoch 87 ensures optimal precision and prevents overfitting (Source: Author’s own elaboration).</p>
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<p>Flowchart depicting the process for identifying optimal parking spaces using the ABC algorithm (Source: Author’s own elaboration).</p>
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<p>Optimally placed cars using the ABC algorithm for different iteration counts: (<b>a</b>) Displays the result after 5 iterations, showing the initial optimal car placements; (<b>b</b>) Shows the result after 500 iterations, representing the final optimal car placements (Source: Author’s own elaboration).</p>
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<p>Pseudo-code of the proposed optimization approach (Source: Author’s own elaboration).</p>
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<p>Optimization performance for a sample application (Source: Author’s own elaboration).</p>
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<p>System architecture for parking monitoring and management: diagram of dependencies between components (Source: Author’s own elaboration).</p>
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<p>The SPARK mobile user interface (Source: Author’s own elaboration).</p>
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<p>Data flow diagram for the parking management system (Source: Author’s own elaboration).</p>
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14 pages, 5885 KiB  
Review
Rewilding Landscape Creation in Country Parks Based on Wilderness Thinking—Taking Shanghai Heqing Country Park as an Example
by Jing Li, Yi Zhu, Haoran Yu and Lang Zhang
Land 2024, 13(12), 2254; https://doi.org/10.3390/land13122254 - 23 Dec 2024
Abstract
In recent years, rapid urbanization in China has driven cities to expand uncontrollably into surrounding rural areas. Within the global context of ecological restoration, protecting and rehabilitating natural spaces have become key issues in landscape design. The concept of rewilding, rooted in wilderness [...] Read more.
In recent years, rapid urbanization in China has driven cities to expand uncontrollably into surrounding rural areas. Within the global context of ecological restoration, protecting and rehabilitating natural spaces have become key issues in landscape design. The concept of rewilding, rooted in wilderness philosophy, has gained significant attention. This article explores the background, significance, and theoretical foundations of rewilding urban ecological spaces using the woodland area of Heqing Country Park in Shanghai as a case study. It examines the feasibility, methods, and strategies for implementing rewilding in urban settings, considering both natural and human-influenced activities, with a focus on minimizing human intervention. This approach enhances biodiversity, promotes the sustainable development of ecosystems, and helps the park maintain its rural character despite its tourist appeal. Four years after the project’s implementation, research data show that the richness of native plant species, the diversity of bird species, and insect populations have exceeded those of the previously maintained forest. Moreover, the rewilding landscapes have supported the natural succession of habitat communities, leading to a stable and revitalized ecosystem. The landscape improvements and visitor experiences have been highly positive. The reconstruction strategy developed in this project is expected to inform future ecological initiatives, such as country parks, promoting the harmonious development of human and natural environments and serving as a model for creating urban ecosystems where both can coexist sustainably. Full article
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<p>Scientific methods of rewilding implemented in country parks.</p>
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<p>Forest chart.</p>
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<p>Overlook of the forest.</p>
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<p>Forest road.</p>
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<p>Forest road 2.</p>
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16 pages, 481 KiB  
Article
Research-Based Learning About Nature Conservation Influences Students’ Attitudes and Knowledge
by Ivana Restović and Mila Bulic
Educ. Sci. 2024, 14(12), 1410; https://doi.org/10.3390/educsci14121410 - 23 Dec 2024
Abstract
(1) Background: A successful teaching practice and a proper understanding of environmental conservation require developed research abilities and a positive attitude toward nature. Nineteen female students at the Faculty of Humanities and Social Sciences spent ten days in one national park and participated [...] Read more.
(1) Background: A successful teaching practice and a proper understanding of environmental conservation require developed research abilities and a positive attitude toward nature. Nineteen female students at the Faculty of Humanities and Social Sciences spent ten days in one national park and participated in project activities related to nature conservation. This study aimed to investigate how the stay in nature and the active involvement of students will contribute to their attitudes and knowledge acquisition. (2) Methods: A questionnaire was used to assess the students’ attitudes and knowledge about protected areas before and after the project activities in the national park. The Wilcoxon test was used to determine the statistical significance of differences in attitudes, while the Chi-square test was used to examine the differences in their acquired knowledge. (3) Results: The research showed that students had positive attitudes towards nature protection before and after the project activities. The positive attitudes were confirmed after the project activities were carried out even among those students who did not have them initially. A significant increase in students’ knowledge after the ten-day stay in the national park was noticed. (4) Conclusions: The study results have provided insight into the ability of future teachers to promote sustainable lifestyles and ecological activities. Hands-on nature-based learning significantly foster future teachers’ ecological awareness, their environmental knowledge, attitudes, and behavior. Full article
(This article belongs to the Section Higher Education)
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<p>Research flow.</p>
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23 pages, 2811 KiB  
Review
Crisis Response in Tourism: Semantic Networks and Topic Modeling in the Hotel and Aviation Industries
by Ruohan Tang, Shaofeng Zhao, Won Seok Lee, Sunwoo Park and Yunfei Zhang
Sustainability 2024, 16(24), 11275; https://doi.org/10.3390/su162411275 - 23 Dec 2024
Abstract
The COVID-19 pandemic caused unprecedented global disruptions, with the hotel and aviation industries—two critical pillars of tourism—among the hardest hit. This study analyzed 451 hotel-related and 336 aviation-related records from the Web of Science database, applying semantic network analysis to uncover eight clusters [...] Read more.
The COVID-19 pandemic caused unprecedented global disruptions, with the hotel and aviation industries—two critical pillars of tourism—among the hardest hit. This study analyzed 451 hotel-related and 336 aviation-related records from the Web of Science database, applying semantic network analysis to uncover eight clusters of crisis management knowledge: basic functions, crisis response, operational strategies, epidemic prevention and control, crisis perception, innovative services, scope of influence, and internal and external environments. Latent Dirichlet Allocation (LDA) topic modeling identified distinct thematic strategies for each sector. In hotels, these included Digital Innovation Transformation, Monitoring Management Procedures, Emotional Awareness Incentives, and Resilience Mechanism Establishment. In aviation, strategies focused on Green Economic Transformation, Co-creation Value Realization, Passenger Incentive Mechanisms, and Balancing Health Risks. By visualizing co-occurrence relationships and mapping thematic intersections and divergences, this study provides actionable insights into the recovery strategies of these industries. The findings offer robust support for developing targeted management approaches and decision-making frameworks to ensure the sustainable growth of the tourism sector. Full article
(This article belongs to the Section Tourism, Culture, and Heritage)
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<p>Research framework and analytical flowchart (source: own source).</p>
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<p>Keyword cloud in hotel and aviation (source: own source). (<b>a</b>) Hotel industry; (<b>b</b>) Aviation industry. In the figures, red represents the hotel industry, while blue represents the aviation industry. The font size varies according to word frequency.</p>
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<p>Visualization of semantic network clusters in the hotel and aviation (source: own source). (<b>a</b>) Hotel industry; (<b>b</b>) Aviation industry. Clusters are labeled as follows: Cluster 1 = Basic Functions; Cluster 2 = Crisis Response; Cluster 3 = Operational Strategies; Cluster 4 = Epidemic Prevention and Control; Cluster 5 = Crisis Perception; Cluster 6 = Innovative Services; Cluster 7 =Scope of Influence; Cluster 8 = Internal and External Environment.</p>
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<p>Visualization of semantic network clusters in the hotel and aviation (source: own source). (<b>a</b>) Hotel industry; (<b>b</b>) Aviation industry. Clusters are labeled as follows: Cluster 1 = Basic Functions; Cluster 2 = Crisis Response; Cluster 3 = Operational Strategies; Cluster 4 = Epidemic Prevention and Control; Cluster 5 = Crisis Perception; Cluster 6 = Innovative Services; Cluster 7 =Scope of Influence; Cluster 8 = Internal and External Environment.</p>
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<p>LDA topic modeling coordinates for the hotel and aviation (source: own source). (<b>a</b>) Hotel industry; (<b>b</b>) Aviation industry. Here, the <span class="html-italic">x</span>-axis symbolizes resilience and co-creation, while the <span class="html-italic">y</span>-axis denotes management and recovery.</p>
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<p>Scatter distribution of the topic prevalence of LDA in the hotel and aviation (source: own source).</p>
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29 pages, 1187 KiB  
Review
Overview of Geosciences Applied to Forensic Taphonomy: The Interdisciplinary Approach of the Italian Non-Human Research Facility (Ticino-LEAFs)
by Giulia Tagliabue, Anna Masseroli, Giulia Caccia, Pasquale Poppa, Cristina Cattaneo and Luca Trombino
Geosciences 2024, 14(12), 359; https://doi.org/10.3390/geosciences14120359 - 23 Dec 2024
Abstract
The recent surge in the application of geosciences in forensics has yielded significant insights into taphonomy and decomposition processes, particularly with regard to the identification and interpretation of evidence pertaining to the interaction between the cadaver and the outdoor post-depositional environment. Given that [...] Read more.
The recent surge in the application of geosciences in forensics has yielded significant insights into taphonomy and decomposition processes, particularly with regard to the identification and interpretation of evidence pertaining to the interaction between the cadaver and the outdoor post-depositional environment. Given that a substantial proportion of current knowledge about decomposition dynamics can be attributed to forensic taphonomy experiments utilizing pigs as human models, a literature review was conducted, focusing on experiments incorporating geosciences into their investigative techniques. The results demonstrated the crucial role of this approach in ensuring accurate interpretation of data, both in the context of forensic cases and in experimental research. Furthermore, this manuscript presents the opening of the first Italian non-human forensic taphonomy facility, which was inaugurated by the LABANOF of the University of Milan in 2009 at the Lombardy Park of the Ticino (PV). The facility strives to integrate the use of non-human animals as human models while upholding a high ethical standard and minimizing the construction of artifacts, thereby striving for forensic realism. Furthermore, the most recent project conducted at the Italian FTF establishes a connection between the outcomes of preceding projects and underscores the significance of a pragmatic and intellectual disposition that embraces interdisciplinary collaboration. Full article
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<p>Resuming image of the geoscience techniques applied in the papers presented. The figure also shows their main strengths and weaknesses [<a href="#B5-geosciences-14-00359" class="html-bibr">5</a>,<a href="#B9-geosciences-14-00359" class="html-bibr">9</a>,<a href="#B15-geosciences-14-00359" class="html-bibr">15</a>,<a href="#B16-geosciences-14-00359" class="html-bibr">16</a>,<a href="#B19-geosciences-14-00359" class="html-bibr">19</a>,<a href="#B27-geosciences-14-00359" class="html-bibr">27</a>,<a href="#B35-geosciences-14-00359" class="html-bibr">35</a>,<a href="#B36-geosciences-14-00359" class="html-bibr">36</a>,<a href="#B37-geosciences-14-00359" class="html-bibr">37</a>,<a href="#B38-geosciences-14-00359" class="html-bibr">38</a>,<a href="#B39-geosciences-14-00359" class="html-bibr">39</a>,<a href="#B40-geosciences-14-00359" class="html-bibr">40</a>,<a href="#B41-geosciences-14-00359" class="html-bibr">41</a>,<a href="#B42-geosciences-14-00359" class="html-bibr">42</a>,<a href="#B43-geosciences-14-00359" class="html-bibr">43</a>,<a href="#B44-geosciences-14-00359" class="html-bibr">44</a>,<a href="#B45-geosciences-14-00359" class="html-bibr">45</a>,<a href="#B46-geosciences-14-00359" class="html-bibr">46</a>,<a href="#B47-geosciences-14-00359" class="html-bibr">47</a>,<a href="#B48-geosciences-14-00359" class="html-bibr">48</a>,<a href="#B49-geosciences-14-00359" class="html-bibr">49</a>,<a href="#B50-geosciences-14-00359" class="html-bibr">50</a>,<a href="#B51-geosciences-14-00359" class="html-bibr">51</a>,<a href="#B62-geosciences-14-00359" class="html-bibr">62</a>,<a href="#B65-geosciences-14-00359" class="html-bibr">65</a>,<a href="#B66-geosciences-14-00359" class="html-bibr">66</a>].</p>
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<p>Map showing the distribution of the Forensic Taphonomy Facilities in the world, including the Italian Facility Ticino-LEAFs (OpenStreetMap scale 1:175,000,000 modified with QGIS version 3.34.12).</p>
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28 pages, 48812 KiB  
Article
Digital Characteristics of Spatial Layout in Urban Park Scene Space: Spatial Classification, Quantitative Indicators, and Design Applications Based on Completed Park Cases
by Boqing Fan, Jia Gu, Shucheng Ai, Xi Chen, Siying Du and Yuning Cheng
Land 2024, 13(12), 2251; https://doi.org/10.3390/land13122251 - 22 Dec 2024
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Abstract
Urban parks are important components of the urban green space system, providing residents with a variety of leisure options. The design’s focal point is the spatial layout of the different use scenarios within these parks. Previous studies have largely concentrated on the scene [...] Read more.
Urban parks are important components of the urban green space system, providing residents with a variety of leisure options. The design’s focal point is the spatial layout of the different use scenarios within these parks. Previous studies have largely concentrated on the scene and macro layout of urban public spaces but have not thoroughly investigated the digital characteristics and corresponding parametric methods for the layout of different internal use scenes in urban green spaces. This research selected 18 urban parks from various global regions as case samples and categorized eight typical park scene space types based on common activity scene requirements in park design using AutoCAD to identify vector boundaries in each sample. To examine the digital characteristics of these scene space types, a quantitative index system was established, including spatial density and scale indicators, spatial connection relationship indicators, and spatial unit morphology indicators. The analysis of these indicators across the samples shows that the number of scene spaces is positively correlated with the total park area, while natural experience scenes constitute the largest proportion of urban parks. Different scene types exhibit distinct spatial layouts; for example, circulation spaces demonstrate high connectivity due to their role in directing visitor flow. Some spaces exhibit a more fixed scale and size, while others vary considerably. Finally, this research develops a parametric design framework using the Grasshopper platform. By taking a park in Nanjing as a case study, this paper illustrates how to utilize digital layout features to generate scene space layouts, offering insights into intelligent generative design. This approach provides a structured method to enhance urban park design through the application of digital and parametric tools, contributing to the broader field of urban park design. Full article
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<p>Research workflow.</p>
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<p>Geographical location of 18 selected park samples.</p>
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<p>Scene space identification of 18 park samples. (The focus of this research, “scene space in urban parks”, highlights user activities within these spaces. In the park examined, the extensive water areas primarily provide ornamental and ecological regulation functions rather than serving as venues for activities. Consequently, these areas are labeled “water space” in the diagrams. However, this portion of the water space is not considered part of the scene space and is thus excluded from specific scene classifications.)</p>
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<p>Example spatial connection relationships. (<b>a</b>) Example of spatial the connection relationship for Sample A. (<b>b</b>) Example of the spatial connection relationship for Sample L.</p>
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<p>The fitted plot of the total scene space area and the number of scenes for 18 park samples.</p>
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<p>Average scale of each scene space.</p>
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<p>Box plot of spatial density and scale indicators for each scene space in park samples. (<b>a</b>) Box plot of single-class spatial density. (<b>b</b>) Space scale of a single class.</p>
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<p>Box plot of degree quantification for each scene space in the park samples. (<b>a</b>) Degree of circulation scene space. (<b>b</b>) Degree of nature experience scene space. (<b>c</b>) Degree of rest and activity scene space. (<b>d</b>) Degree of social interaction and performance scene space. (<b>e</b>) Degree of parent–child play scene space. (<b>f</b>) Degree of sports and fitness scene space. (<b>g</b>) Degree of science and technology scene space. (<b>h</b>) Degree of culture and art scene space.</p>
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<p>Box plot of betweenness centrality quantification for each scene space in park samples. (<b>a</b>) Betweenness centrality of circulation scene space. (<b>b</b>) Betweenness centrality of nature experience scene space. (<b>c</b>) Betweenness centrality of rest and activity scene space. (<b>d</b>) Betweenness centrality of social interaction and performance scene space. (<b>e</b>) Betweenness centrality of parent–child play scene space. (<b>f</b>) Betweenness centrality of sports and fitness scene space. (<b>g</b>) Betweenness centrality of science and technology scene space. (<b>h</b>) Betweenness centrality of culture and art scene space.</p>
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<p>Box plot of extension quantification for each scene space in park samples. (<b>a</b>) Extension of circulation scene space. (<b>b</b>) Extension of nature experience scene space. (<b>c</b>) Extension of rest and activity scene space. (<b>d</b>) Extension of social interaction and performance scene space. (<b>e</b>) Extension of parent–child play scene space. (<b>f</b>) Extension of sports and fitness scene space. (<b>g</b>) Extension Degree of science and technology exhibition scene space. (<b>h</b>) Extension of culture and art scene space.</p>
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<p>Bar chart of <span class="html-italic">CV</span> quantification for each scene space in park samples. (<b>a</b>) <span class="html-italic">CV</span> of circulation scene space. (<b>b</b>) <span class="html-italic">CV</span> of nature experience scene space. (<b>c</b>) <span class="html-italic">CV</span> of rest and activity scene space. (<b>d</b>) <span class="html-italic">CV</span> of social interaction and performance scene space. (<b>e</b>) <span class="html-italic">CV</span> of parent–child play scene space. (<b>f</b>) <span class="html-italic">CV</span> of sports and fitness scene space. (<b>g</b>) <span class="html-italic">CV</span> of science and technology exhibition scene space. (<b>h</b>) <span class="html-italic">CV</span> of culture and art scene space.</p>
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<p>Bar chart of <span class="html-italic">CV</span> quantification for each scene space in park samples. (<b>a</b>) <span class="html-italic">CV</span> of circulation scene space. (<b>b</b>) <span class="html-italic">CV</span> of nature experience scene space. (<b>c</b>) <span class="html-italic">CV</span> of rest and activity scene space. (<b>d</b>) <span class="html-italic">CV</span> of social interaction and performance scene space. (<b>e</b>) <span class="html-italic">CV</span> of parent–child play scene space. (<b>f</b>) <span class="html-italic">CV</span> of sports and fitness scene space. (<b>g</b>) <span class="html-italic">CV</span> of science and technology exhibition scene space. (<b>h</b>) <span class="html-italic">CV</span> of culture and art scene space.</p>
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<p>Urban park spatial structure model using Cytoscape 3.9 software.</p>
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<p>The results of 9 randomized initial configurations after 6000 iterations based on the Grasshopper program.</p>
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<p>A stack of iterative results.</p>
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<p>Final layout scheme for the scene spaces.</p>
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