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Sustainable Low-Carbon Layout of Land around Rail Transit Stations Based on Multi-Modal Spatial Data

Author

Listed:
  • Weiwei Liu

    (Business School, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China)

  • Jin Zhang

    (Business School, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China)

  • Liang Jin

    (Business School, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China)

  • Jieshuang Dong

    (Business School, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China)

  • Osama Alfarraj

    (Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia)

  • Amr Tolba

    (Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia)

  • Qian Wang

    (Intelligent Transportation Products Department, China Mobile Shanghai Information Communication Technology Co., Ltd., 735 Jingang Road, Shanghai 201206, China)

  • Yihao He

    (Transportation Department, Zhejiang University Urban-Planning & Design Institute, Hangzhou 310023, China)

Abstract

With the ever-increasing demand for transport in modern cities, emissions from urban transport are rising. The proportion of carbon emissions in exhaust gas accounts for a large share of society’s total carbon emissions and is increasing. Therefore, urban transport has a sustainable responsibility to reduce carbon emissions. Investigating the factors that influence carbon emissions from transport has become an important practical issue that needs to be addressed. This paper adopts a “bottom-up” theoretical calculation method of transport carbon emissions and establishes the basic distribution model of inter-modal land use around rail transit stations. It clarifies the connection mode of rail transit stations and establishes the distribution model of carbon emission of stations under different building distribution modes, suggesting the planning of building distribution patterns around rail transit stations. This paper proposes a new method to analyze the influencing factors of carbon emissions at rail transit stations based on multi-modal spatial data in order to make full use of the dense characteristics of rail transit stations and reduce carbon emissions.

Suggested Citation

  • Weiwei Liu & Jin Zhang & Liang Jin & Jieshuang Dong & Osama Alfarraj & Amr Tolba & Qian Wang & Yihao He, 2023. "Sustainable Low-Carbon Layout of Land around Rail Transit Stations Based on Multi-Modal Spatial Data," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9589-:d:1171207
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    References listed on IDEAS

    as
    1. Xiaoquan Wang & Chunfu Shao & Chaoying Yin & Chunjiao Dong, 2021. "Exploring the effects of the built environment on commuting mode choice in neighborhoods near public transit stations: evidence from China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 44(1), pages 111-127, January.
    2. Xu, Chao & Haase, Dagmar & Su, Meirong & Yang, Zhifeng, 2019. "The impact of urban compactness on energy-related greenhouse gas emissions across EU member states: Population density vs physical compactness," Applied Energy, Elsevier, vol. 254(C).
    3. Pedro Dorta Antequera & Jaime Díaz Pacheco & Abel López Díez & Celia Bethencourt Herrera, 2021. "Tourism, Transport and Climate Change: The Carbon Footprint of International Air Traffic on Islands," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    4. Mohammad Hesam Hafezi & Naznin Sultana Daisy & Lei Liu & Hugh Millward, 2019. "Modelling transport-related pollution emissions for the synthetic baseline population of a large Canadian university," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 23(4), pages 519-533, October.
    5. Becky P. Y. Loo & Frederic du Verle, 2017. "Transit-oriented development in future cities: towards a two-level sustainable mobility strategy," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(0), pages 54-67, August.
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