Effect of Transportation Operation on Air Quality in China Based on MODIS AOD during the Epidemic

Haixia Feng, Zhouhao Wu, Xin Li (), Huacai Xian, Qiang Jia, Xingyu Wang and Maoxin Zhu
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Haixia Feng: School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 250023, China
Zhouhao Wu: Transportation Research Center, Tsinghua University, Beijng 100084, China
Xin Li: Department of Industrial, Educational and Social Cooperation, Zhejiang Pharmaceutical University, Ningbo 315599, China
Huacai Xian: School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 250023, China
Qiang Jia: School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 250023, China
Xingyu Wang: School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 250023, China
Maoxin Zhu: School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 250023, China

Sustainability, 2023, vol. 15, issue 5, 1-15

Abstract: With the rapid growth of automobile numbers and the increased traffic congestion, traffic has increasingly significant effects on regional air quality and regional sustainable development in China. This study tried to quantify the effect of transportation operation on regional air quality based on MODIS AOD. This paper analyzed the space-time characteristics of air quality and traffic during the epidemic by series analysis and kernel density analysis, and quantified the relationship between air quality and traffic through a Geographically Weighted Regression (GWR) model. The main research conclusions are as follows: The epidemic has a great impact on traffic and regional air quality. PM2.5 and NO 2 had the same trend with traffic congestion delay index (CDI), but they were not as obvious as CDI. Both cities with traffic congestion and cities with the worst air quality showed strong spatial dependence. The concentration areas of high AOD value in the east areas of the Hu line were consistent with the two gathering centers formed by cities with traffic congestion in space, and also consistent with the gathering center of cities with poor air quality. The concentration area of AOD decline was consistent with the gathering center formed by cities with the worst air quality. AOD had a strong positive correlation with road network density, and its GWR correlation coefficient was 0.68, then These provinces suitable for GWR or not suitable were divided. This study has a great significance for the transportation planning, regional planning, air quality control strategies and regional sustainable development, etc.

Keywords: quantitative analysis; congestion delay index; spatiotemporal characteristics; MODIS AOD; GWR (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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