Identifying spatiotemporal characteristics and driving factors for road traffic CO2 emissions

被引:42
|
作者
Zhou, Xiao [1 ,2 ]
Wang, Han [1 ,2 ]
Huang, Zhou [1 ,2 ,3 ]
Bao, Yi [1 ,2 ]
Zhou, Guoqing [4 ]
Liu, Yu [1 ,2 ,3 ]
机构
[1] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China
[2] Peking Univ, Beijing Key Lab Spatial Informat Integrat & Its Ap, Beijing 100871, Peoples R China
[3] State Key Lab Media Convergence Prod Technol & Sys, Beijing 100803, Peoples R China
[4] Guilin Univ Technol, Guangxi Key Lab Spatial Informat & Geomatics, Guilin 541004, Peoples R China
关键词
Road traffic CO2 emissions; Emission characterstics; Vehicle trajectory; Built environment; Multiscale geographically weighted regression; BUILT ENVIRONMENT; SOCIOECONOMIC-FACTORS; CARBON EMISSIONS; PUBLIC TRANSPORT; URBAN FORM; LAND-USE; IMPACTS; CHINA; DYNAMICS; SHENZHEN;
D O I
10.1016/j.scitotenv.2022.155270
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
emission calculation at the road level and ignore the impact of the built environment on road traffic emissions. Therefore, this study develops a bottom-up methodology based on the traffic trajectory data to analyze the CO2 emission characteristics of road traffic with a high level of spatial-temporal resolution in Shenzhen. Then, the effects of built environment factors on road traffic emissions are investigated using multiscale geographically weighted regression. The results show a highly detailed map of CO2 emissions with high temporal (hour) and space (road) resolutions. The emission characteristics reflect the spatial non-equilibrium in road traffic CO2 emissions. In addition, six factors, including population density, number of workplaces, number of dwellings, density of main road, access to metro stations, and access to bus stops, have a significant effect on road traffic CO2 emissions. Finally, the policy suggestions are proposed for the reduction of road traffic CO2 emissions.
引用
收藏
页数:11
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