The effects of PM2.5 concentrations on traffic violations and accident severity in Guangdong China

被引:0
作者
Fan, Ling [1 ]
Chen, Mingqin [2 ]
机构
[1] South China Normal Univ, Sch Environm, Guangzhou 510006, Peoples R China
[2] Sun Yat Sen Univ, Inst Guangdong Hong Kong & Macao Dev Studies, Guangzhou 510275, Peoples R China
关键词
Air pollution; Road traffic accidents; Instrumental variable; Machine learning; AIR-POLLUTION; DRIVING BEHAVIOR; NOVICE DRIVERS; MORTALITY; GENDER; DETERMINANTS; COUNTRIES; QUALITY; BURDEN; CRASH;
D O I
10.1038/s41598-025-05354-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
How does air pollution affect road safety? This study examines the impact of local PM2.5 concentrations on traffic violations and accident severity in Guangdong Province, China, from 2006 to 2014. Using instrumental variable methods to address endogeneity, we find a significant relationship between PM2.5 concentrations and the occurrence of high-penalty traffic violations and severe accidents. Robustness checks confirm these results hold when using alternative pollutants (PM10, SO2, and SO4). To account for the bias caused by nonlinear relationships between air pollution and weather, we employ a random forest model to isolate the weather-independent component of PM2.5 concentrations. Further analysis reveals significant heterogeneity in these effects across driver characteristics and geographic areas. This paper also explores potential visual and psychological mechanisms through which PM2.5 influences traffic safety. Our findings offer valuable policy implications for environmental and traffic management strategies.
引用
收藏
页数:18
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