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

• DOI: 10.3390/su151410930
• Publication Date: 2023-07-13T05:43:22Z
• Authors: Wenjie Chen; Xiaogang Wu; Zhu Xiao
• Keywords: Robustness; Private transport

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