[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
article

Study on the Optimization of Urban Traffic and Spatial Structure in the Environment of Low-Carbon Eco-Cities

Published: 07 November 2024 Publication History

Abstract

Under the concept of “dual-carbon development”, optimising the spatial structure of urban life, perfecting the management system of public transport services, realising the spatial optimisation of urban transport, minimising carbon emissions and reducing environmental pollution are the problems that need to be solved urgently. This paper firstly analyses the development status quo of low-carbon cities, clarifies the influencing factors of low-carbon eco-cities, and discusses the correlation between the scale, population density, traffic structure and energy development of low-carbon eco-cities and low-carbon eco-cities. On this basis, the low-carbon ecological development strategy of City C in China is proposed as an example. Therefore, this study argues that low-carbon cities, as a strategic goal of new urbanisation development, should focus on constructing a theoretical system of urban upgrading and optimisation under the environment of green and sustainable ecological development, and introduce corresponding construction guarantee optimisation policies.

References

[1]
An, Q., Sheng, S., Zhang, H., Xiao, H., & Dong, J. (2019). Research on the construction of carbon emission evaluation system of low-carbon-oriented urban planning scheme: Taking the West New District of Jinan City as example. Geology, Ecology, and Landscapes, 3(3), 187–196.
[2]
Basso, L. J., Navarro, M., & Silva, H. E. (2021). Public transport and urban structure. Economics of Transportation, 28, 100232.
[3]
Cai, L. (2022). Research on multiple objective planning model of e-commerce logistics distribution center under carbon emissions. Fresenius Environmental Bulletin, 31(10), 9901–9908.
[4]
Cai, M., Shi, Y., Ren, C., Yoshida, T., Yamagata, Y., Ding, C., & Zhou, N. (2021). The need for urban form data in spatial modeling of urban carbon emissions in China: A critical review. Journal of Cleaner Production, 319, 128792.
[5]
Ding, Y., & Luo, Q. (2024). Polycentric spatial structure, digital economy and urban green sustainable development. Journal of Cleaner Production, 468, 143080.
[6]
Guner, S. T. (2019). Changes in carbon concentration of tree components for Kazdag fir (abies nordmanniana subsp. equi-trojani) forests. Feb-Fresenius Environmental Bulletin, 116.
[7]
Hillier, B., & Sheng, Q. (2014). The now and future of space syntax. Architectural Journal, 8, 60–65.
[8]
Huo, H., Zhang, Q., He, K., Yao, Z., Wang, X., Zheng, B., Streets, D. G., Wang, Q., & Ding, Y. (2011). Modeling vehicle emissions in different types of Chinese cities: Importance of vehicle fleet and local features. Environmental Pollution, 159(10), 2954–2960. 21601969.
[9]
Ivănescu, M. A. (2023). Sustainable mobility and the environment: How our transportation choices shape our future. In E3S web of conferences (Vol. 436, p. 11003). EDP Sciences.
[10]
Jin, L. Q., & Liu, R. (2009). Low carbon economy and transformation of China’s economic development model. Econ Probl Res, 1, 84–87.
[11]
Jin, Y., Li-Ping, J., & Bin, C. (2012). Greenhouse gas inventory and emission accounting of Chongqing. Zhongguo Renkou Ziyuan Yu Huanjing, 22(3), 63–69.
[12]
Long, Y., Mao, Q., Yang, D., & Wang, J. (2011). A multi-agent model for urban form, transportation energy consumption and environmental impact integrated simulation. Acta Geographica Sinica, 66(8), 1033–1044.
[13]
Mavlutova, I., Atstaja, D., Grasis, J., Kuzmina, J., Uvarova, I., & Roga, D. (2023). Urban transportation concept and sustainable urban mobility in smart cities: A review. Energies, 16(8), 3585.
[14]
Nochta, T., & Skelcher, C. (2020). Network governance in low-carbon energy transitions in European cities: A comparative analysis. Energy Policy, 138, 111298.
[15]
Rajković, R., Rajković, S., & Mitić, D. (2020). Environmental protection: Reducing the CO2 emissions in intermodal transport planning.
[16]
Sapena, M., Wurm, M., Taubenböck, H., Tuia, D., & Ruiz, L. A. (2021). Estimating quality of life dimensions from urban spatial pattern metrics. Computers, Environment and Urban Systems, 85, 101549.
[17]
Shen, L., Wu, Y., Lou, Y., Zeng, D., Shuai, C., & Song, X. (2018). What drives the carbon emission in the Chinese cities? A case of pilot low carbon city of Beijing. Journal of Cleaner Production, 174, 343–354.
[18]
Song, J., Abuduwayiti, A., & Gou, Z. (2023). The role of subway network in urban spatial structure optimization: Wuhan city as an example. Tunnelling and Underground Space Technology, 131, 104842.
[19]
Sowmiya Narayanan, K. J., & Manimaran, A. (2024). Recent developments in geographic information systems across different application domains: A review. Knowledge and Information Systems, 66(3), 1523–1547.
[20]
Wang, S., Wang, M., & Liu, Y. (2021). Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches. Computers, Environment and Urban Systems, 90, 101713.
[21]
Wang, W., & Huang, X. (2008). Decompositions model of factors and substantiation analysis of area carbon dioxide emissions intensity change—Take Jiangsu Province as an example. Ecological Economics, 12, 32–35.
[22]
Wang, Y. J., & He, Y. (2015). Methods for low-carbon city planning based on carbon emission inventory. Zhongguo Renkou Ziyuan Yu Huanjing, 25(6), 72–80.
[23]
Wen-Yue, Y., Tao, L., & Xiao-Shu, C. (2015). The spatial pattern of Community Travel Low Carbon Index (CTLCI) and spatial heterogeneity of the relationship between CTLCI and influencing factors in Guangzhou. Geographical Research, 34(8), 1471–1480.
[24]
Yan, J., Huang, X., Li, Y., & Zhang, X. (2010). Assessment, prediction and control of carbon emissions in land use planning: A case study of Nanqiao zone, Chuzhou, Anhui Province. Sci. Technol. Manag. Land Resour, 27, 19–24.
[25]
Yang, Y., & Su, X. (2024). Spatial correlation network structure of carbon emission reduction capacity on urban agglomerations and its driving factors: A perspective of sustainable development goals. Sustainable Cities and Society, 113, 105646.
[26]
Zhao, D., & Xu, S. (2022). Study on coupling coordination degree and its economic effects of regional carbon emission-industrial structure/environmental protection. Fresenius Environmental Bulletin, 31(3A), 3159–3166.

Index Terms

  1. Study on the Optimization of Urban Traffic and Spatial Structure in the Environment of Low-Carbon Eco-Cities
            Index terms have been assigned to the content through auto-classification.

            Recommendations

            Comments

            Please enable JavaScript to view thecomments powered by Disqus.

            Information & Contributors

            Information

            Published In

            cover image International Journal of Knowledge Management
            International Journal of Knowledge Management  Volume 20, Issue 1
            Feb 2024
            488 pages

            Publisher

            IGI Global

            United States

            Publication History

            Published: 07 November 2024

            Author Tags

            1. Carbon Emissions
            2. Carbon Peak
            3. Low Carbon Ecological Environment
            4. Optimization Strategy
            5. Urban Space

            Qualifiers

            • Article

            Contributors

            Other Metrics

            Bibliometrics & Citations

            Bibliometrics

            Article Metrics

            • 0
              Total Citations
            • 0
              Total Downloads
            • Downloads (Last 12 months)0
            • Downloads (Last 6 weeks)0
            Reflects downloads up to 07 Jan 2025

            Other Metrics

            Citations

            View Options

            View options

            Media

            Figures

            Other

            Tables

            Share

            Share

            Share this Publication link

            Share on social media