4.3 Article

Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016

出版社

MDPI
DOI: 10.3390/ijerph18031176

关键词

police-reported crashes; traffic safety in China; motor-vehicle; human driver

资金

  1. National Natural Science Foundation of China [51805332]
  2. Natural Science Foundation of Guangdong Province [2018A030310532]
  3. Shenzhen Fundamental Research Fund [JCYJ20190808142613246]
  4. Young Elite Scientists Sponsorship Program - China Society of Automotive Engineers

向作者/读者索取更多资源

This study examined crash characteristics in Shenzhen, China based on police-reported crashes from 2014 to 2016. Descriptive characteristics were reported in detail for each crash attribute, and the relationship between attributes in motor-vehicle-involved crashes was analyzed using Bayesian network analysis. The study revealed distinct crash characteristics at different attribute levels and the interplay between these attributes.
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.

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