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Examining the Nonlinear and Synergistic Effects of Multidimensional Elements on Commuting Carbon Emissions: A Case Study in Wuhan, China

Author

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  • Liang Guo

    (School of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan 430000, China
    The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430000, China)

  • Shuo Yang

    (School of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan 430000, China
    The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430000, China)

  • Qinghao Zhang

    (School of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan 430000, China
    The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430000, China)

  • Leyu Zhou

    (School of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan 430000, China
    The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430000, China)

  • Hui He

    (School of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan 430000, China
    The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430000, China)

Abstract

Understanding the specific effects of multidimensional elements of a built environment, transportation management policies, and the socio-demographics of travelers associated with commuting carbon emissions is significant for planners in promoting low-carbon and healthy urban development through transportation and land use and urban management policies. Most of the existing studies focus on the complex mechanisms affecting commuting behavior, but the relevant elements and specific mechanisms affecting commuting carbon emissions have not received sufficient attention. This study uses a random forest approach to analyze residential travel data from Wuhan, China. The results show that built environment and transportation demand management policies are critical to commuting carbon emissions, and that there is a non-linear association between multidimensional factors and commuting carbon emissions in Chinese cities. In addition, the study examines the synergistic effects of built environment and transportation management policies on commuting carbon emissions among different built environment elements. The results of the study provide valuable insights for planners in formulating low-carbon city and transportation development policies.

Suggested Citation

  • Liang Guo & Shuo Yang & Qinghao Zhang & Leyu Zhou & Hui He, 2023. "Examining the Nonlinear and Synergistic Effects of Multidimensional Elements on Commuting Carbon Emissions: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 20(2), pages 1-28, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1616-:d:1037425
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    References listed on IDEAS

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