Factors contributing to hit-and-run crashes in China

Guangnan Zhang, Guangzhong Li, Tiancheng Cai, David M. Bishai, Changxu Wu, Zeyi Chan

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


Hit-and-run accidents, or those where the perpetrator leaves the crash scene without reporting the event, are a serious concern because they can delay the rescue of victims, thereby increasing the fatality rate and severity of injuries. However, only a few studies exist on the factors that influence hit-and-run behavior, particularly in developing countries. Using data collected from Guangdong Province in China, this study applies a logistic regression model to analyze factors associated with hit-and-run behavior in five categories: crash attributes and human, vehicle, road, and environmental factors. This study finds that the probability of hit-and-run behavior increases with accidents that involve pedestrians, occur in dark driving conditions, and are caused by drivers who are male, middle-aged, and without a valid driver's license, extensive driving experience, or automobile insurance. Therefore, we recommend closer supervision and better public education for different groups of people about traffic laws and regulations.

Original languageEnglish (US)
Pages (from-to)113-124
Number of pages12
JournalTransportation Research Part F: Traffic Psychology and Behaviour
StatePublished - Mar 2014


  • China
  • Hit-and-run
  • Logistic regression
  • Road safety

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Applied Psychology


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