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Fatal motor vehicle crashes on road segments in Harbin, China: combining rates into contributory factors

    Yonggang Wang Affiliation
    ; Chunbo Zhang Affiliation
    ; Chengyuan Mao Affiliation

Abstract

In spite of recent advances in traffic surveillance technology and ever-growing concerns over the safety performance improvement, there have been very few conclusive research efforts addressing the segment-involved traffic crashes. This research aims at evaluating the segment-involved crashes using 10 years of documented crash data (2000–2010) in Harbin. The interactions of crash patterns, distribution features, injury severity and potential causes are explored by mining a variety of contributory factors associated with driver demographics, roadway geometric design, environmental state, distribution of traffic flow, etc. Results show that different crash patterns are correlated with a number of risk factors at different roadway locations such as the driver's age and experience, weather, with or without median/division, number of lane, deviation of travelling speed, Annual Average Daily Traffic (AADT), volume to capacity ratio (v/c), and so on, and different combinations of factors may lead to some specific crash patterns such as head-on, angle or rear-end collisions. Moreover, four black locations with a huge number of crashes are identified due to heavy truck involvement on these in/out roads. These findings will help to better understand what, when and why these crashes occur and develop more targeted and cost-effective countermeasures to enhance the overall safety performance of the roadway network.


First Published Online: 16 Jul 2013

Keyword : traffic safety, segment crash, contributory factor, black location, collision pattern, roadway network

How to Cite
Wang, Y., Zhang, C., & Mao, C. (2013). Fatal motor vehicle crashes on road segments in Harbin, China: combining rates into contributory factors. Transport, 28(2), 117-129. https://doi.org/10.3846/16484142.2013.794372
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Sep 30, 2013
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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.