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Spatial Heterogeneity Analysis of Factors on Commuting Carbon Emissions: Evidence from the Shenzhen Metropolitan Area in China

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  • Xin Li

    (China Academy of Urban Planning & Design Shenzhen, Shenzhen 518040, China)

  • Jiayue Zhang

    (The Bartlett School of Planning, University College London, London WC1H 0NN, UK)

  • Wenna Zhang

    (China Academy of Urban Planning & Design Shenzhen, Shenzhen 518040, China)

  • Yue Tan

    (School of Business, Southern University of Science and Technology, Shenzhen 518055, China)

Abstract

As an essential part of daily life, commuting produces considerable carbon emissions and is currently receiving increased amounts of attention. Comprehensive explorations of carbon emissions and the spatial distribution of their effects based on previous studies are lacking. First, we adopt stepwise regression and geographically weighted regression (GWR) to explore the diverse impacts of carbon emissions on the different layers of metropolitan areas, employing factors from the perspectives of socioeconomics, transportation services, and road networks. Our findings show that optimizing the road network structure could be an effective approach to reducing carbon emissions from commuting, especially in the periphery of metropolitan areas. In addition, the mixed use of land contributes to reducing carbon emissions from commuting, especially in the central areas. Thus, the coverage of public transport should be improved, especially in peripheral regions. Policymakers should monitor the spatial heterogeneity of variables and develop suitable policies to adapt to the conditions of the different layers of metropolitan areas.

Suggested Citation

  • Xin Li & Jiayue Zhang & Wenna Zhang & Yue Tan, 2024. "Spatial Heterogeneity Analysis of Factors on Commuting Carbon Emissions: Evidence from the Shenzhen Metropolitan Area in China," Sustainability, MDPI, vol. 16(11), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4397-:d:1399822
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    References listed on IDEAS

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