Literature DB >> 35932344

Can haze warning policy reduce traffic accidents: evidence from China.

Hongwei Yu1, Xiaoyue Hu1, Juan Gao2.   

Abstract

Haze pollution may decrease drivers' driving performance by worsening their physical and psychological states. This paper explores the effects of haze warning policy on traffic accidents for the first time. We use the daily-city traffic accident data from 2016 to 2019 in China and construct Regression Discontinuity (RD) strategies based on the warning signal thresholds of PM2.5 concentration for estimations. The results show that one yellow warning and one orange warning can reduce traffic accidents by 8.8% and 13.1% on that day respectively, while the red warning does not work significantly possibly due to the self-perceived channel rather than the warning-signal channel. We also find that the effects may vary among different groups of drivers, vehicles, and roads. Our results prove that the haze warning policy is a non-negligible tool to reduce traffic accidents, which is useful to policy-making both related to haze pollution regulation and transportation safety.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Haze pollution; Regression Discontinuity strategy; Traffic accident; Warning signal

Year:  2022        PMID: 35932344     DOI: 10.1007/s11356-022-22322-3

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   5.190


  1 in total

1.  The Impact of Air Pollution on the Protection of World Cultural Heritage in China.

Authors:  Bo Xiao; Lanyu Ning; Zixiang Lin; Shiyi Wang; Hua Zang
Journal:  Int J Environ Res Public Health       Date:  2022-08-17       Impact factor: 4.614

  1 in total

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