PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (9): 1597-1606.doi: 10.18306/dlkxjz.2020.09.016

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Research progress on the driving mechanism of traffic accidents from the perspective of land use

WANG Cheng(), XIE Bo*()   

  1. School of Urban Design, Wuhan University, Wuhan 430072, China
  • Received:2019-08-19 Revised:2020-02-11 Online:2020-09-28 Published:2020-11-28
  • Contact: XIE Bo E-mail:traffic_wc@126.com;xiebo317@whu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(41971179);Humanity and Social Science Foundation of Ministry of Education of China(17YJC840045)

Abstract:

Given the rapid urbanization and booming motor vehicle ownership in China, the existing land use and transport system are being widely reshaped, which have increasingly worsened the traffic safety situation. To optimize land use configuration and thus improve traffic safety, there is an urgent need to explore the driving mechanism of traffic accidents from the perspective of land use. The current literature generally supports the theoretical framework that traffic volume and traffic speed are major mediators associating land use with traffic accidents, while ignores that transport demand, which is derived from land use, plays a crucial role in shaping traffic accidents. Therefore, the association between land use, transport demand, and traffic accident is overlooked in exploring the driving mechanism of traffic accidents. This article reviewed existing studies by investigating the driving mechanism of traffic accidents from the perspective of land use based on influencing factor analysis, and summarized the future research directions. The results show that multi-dimensional land use attributes were strongly associated with the frequency of traffic accidents. Correspondingly, assessing the dynamic matching relationship between land use and transport system as well as its effects on travel behavior, would become particularly important in revealing the driving mechanism of traffic accidents. The corresponding findings could be used to support the construction of land use model for improving traffic safety.

Key words: traffic accident, land use, driving mechanism, travel behavior