City-level estimation of vehicle CO2 emission factors regarding driving behaviors: The case of Tianjin, China
Haipeng Ye,
Yu Li,
Ji Zheng,
Zehong Li
Affiliations
Haipeng Ye
Institute of Geomatics, Department of Civil Engineering, 3S Centre, Tsinghua University, Beijing, China
Yu Li
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
Ji Zheng
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Urban Planning and Design, The University of Hong Kong, Hong Kong SAR, China; Corresponding author. Department of Urban Planning and Design, The University of Hong Kong, Hong Kong SAR, China; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Zehong Li
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
The estimation of CO2 emission factors (EFs) is a key step in calculating automobile CO2 emissions. However, city-level research on the integrated estimation of vehicle CO2 EFs under real conditions is insufficient. To enrich the research methods of city-level vehicle CO2 EFs, this paper constructs a vehicle–road–driver three-layer regression model and estimates vehicle CO2 EFs empirical parameters for Tianjin. The results show that the influences of vehicle CO2 EFs can be ranked as follows: engine displacement level (0.740) > total mileage (0.336) > driving habit after the start (−0.072) > vehicle size (0.064). The average empirical parameter of Tianjin's vehicle CO2 EFs is 195.38 g/km. This study can provide a method to estimate vehicle CO2 EFs at city level, enrich the Chinese EFs database in the transport sector, and provide scientific support to formulate integrated low-carbon transport policies.
