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Impact of Built Environment on Carbon Emissions from Cross-District Mobility: A Social Network Analysis Based on Private Vehicle Trajectory Big Data

Author

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  • Wenjie Chen

    (Business College, Central South University of Forestry and Technology, Changsha 410004, China)

  • Xiaogang Wu

    (Business College, Central South University of Forestry and Technology, Changsha 410004, China)

  • Zhu Xiao

    (College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China)

Abstract

The realization of the “double carbon” goals and the development of green transportation require a focused approach to reducing carbon emissions from private cars. Starting from the perspective of social network analysis, this paper constructs the carbon emission network of private car cross-district mobility based on vehicle trajectory big data in Guangzhou and Foshan and analyzes its spatial network characteristics. Next, the MRQAP model is constructed to examine the impact of built environment factors on carbon emissions from private cars. Furthermore, the paper explores the moderating effect of private car mobility in the central urban area. The results indicate the following: (1) Private vehicle cross-district mobility in the Guangzhou and Foshan region are closely interconnected and exhibit a phenomenon of central clustering. (2) Both population density and the number of road intersections have a positive relationship with private car carbon emissions, and after a series of robustness tests, the results are still valid. (3) Private vehicle mobility in central urban areas contributes to an increase in carbon emissions, and the positive impact is reinforced by population density, while road intersections and private car mobility in central urban areas have a substitutive effect on private car carbon emissions.

Suggested Citation

  • Wenjie Chen & Xiaogang Wu & Zhu Xiao, 2023. "Impact of Built Environment on Carbon Emissions from Cross-District Mobility: A Social Network Analysis Based on Private Vehicle Trajectory Big Data," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10930-:d:1192415
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    References listed on IDEAS

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