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Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016

Author

Listed:
  • Guofa Li

    (Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

  • Yuan Liao

    (Department of Space, Earth and Environment, Division of Physical Resource Theory, Chalmers University of Technology, 41296 Gothenburg, Sweden)

  • Qiangqiang Guo

    (Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA)

  • Caixiong Shen

    (Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

  • Weijian Lai

    (Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

Abstract

Road traffic crashes cause fatalities and injuries of both drivers/passengers in vehicles and pedestrians outside, thus challenge public health especially in big cities in developing countries like China. Previous efforts mainly focus on a specific crash type or causation to examine the crash characteristics in China while lacking the characteristics of various crash types, factors, and the interplay between them. This study investigated the crash characteristics in Shenzhen, one of the biggest four cities in China, based on the police-reported crashes from 2014 to 2016. The descriptive characteristics were reported in detail with respect to each of the crash attributes. Based on the recorded crash locations, the land-use pattern was obtained as one of the attributes for each crash. Then, the relationship between the attributes in motor-vehicle-involved crashes was examined using the Bayesian network analysis. We revealed the distinct crash characteristics observed between the examined levels of each attribute, as well the interplay between the attributes. This study provides an insight into the crash characteristics in Shenzhen, which would help understand the driving behavior of Chinese drivers, identify the traffic safety problems, guide the research focuses on advanced driver assistance systems (ADASs) and traffic management countermeasures in China.

Suggested Citation

  • Guofa Li & Yuan Liao & Qiangqiang Guo & Caixiong Shen & Weijian Lai, 2021. "Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016," IJERPH, MDPI, vol. 18(3), pages 1-24, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1176-:d:489041
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    References listed on IDEAS

    as
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