Analysis of vehicular CO2 emission in the Central Plains of China and its driving forces

• Published in: The Science of the total environment Vol. 814; p. 152758
• Main Authors: Zhao, Dadi, Lei, Yu, Zhang, Yu, Shi, Xurong, Liu, Xin, Xu, Yanling, Xue, Wenbo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 25.03.2022
• Subjects: CO2 emission; Moran's I index; Refined-resolution grid allocation; Spatial driving force; Vehicles; Spatial driving force; Moran's I index; Refined-resolution grid allocation; CO2 emission; Vehicles
• ISSN: 0048-9697; 1879-1026
• DOI: 10.1016/j.scitotenv.2021.152758

The Central Plains of China, represented by Henan province, faces a dramatic rise in vehicular stock and CO2 emissions. The refined-resolution(1 km × 1 km) vehicular CO2 emission inventory for Henan province was developed to identify emission patterns. Results show that CO2 emissions in Henan province reached 77.04 Mt in 2019, and LDGV and HDDT were the major sources that emitted 42.34% and 35.96% of CO2 emissions, respectively. Based on gridded emission, Moran's Index was used to identify spatial distribution patterns of vehicular CO2. The higher CO2 emission intensity areas were concentrated in the central and northern of the province and urban areas in each city, especially in Zhengzhou and its surrounding cities. Moreover, the analysis of the driving forces behind the differences in emissions among cities using the multi-regional (M-R) spatial decomposition model revealed that income and population-scale are significant impacts. In cities such as Zhengzhou, emissions may be dramatically increase owing to high economic growth expectations. ‘Polarization phenomenon’ of CO2 emission distribution should be vigilant. Findings provided insights for refined policy-making in Henan province to limit CO2 emission: (1) Take cities as transportation hubs, e.g., Zhengzhou and Shangqiu, and that in the traffic radiation circle, e.g., Jiaozuo and Zhoukou, as the critical areas for CO2 emission reduction; (2) Promote electric vehicles as replacement for traditional fuel vehicles; especially for cities with large passenger car emissions, such as Zhengzhou, and cities with large truck emissions, such as Shangqiu and Zhoukou; actively guide new consumer groups to choose EVs, especially in cities with high growth expectations such as Zhengzhou; (3) Rely on the advantages of transportation network to promote the ‘road to railway’ of bulk cargo transportation and mainly focus on highways with higher CO2 density, such as Beijing-Hong Kong&Macao Expressway, Shanghai-Xi'an Expressway, Da Guang Expressway, and Lian Huo Expressway. [Display omitted] •Refined-resolution vehicular CO2 emission inventory in 2019 in Henan was built.•Vehicular CO2 in Henan province was mainly emitted by LDGV and HDDT.•High CO2 emission intensity areas gathered around central and Northern areas.•Income and population-scale had significant impacts on vehicular CO2 emission.•Advices for refined policy to reduce vehicular CO2 emission were proposed.