Volume 40 Issue 3
Jun.  2022
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Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(3): 10-18
ZHANG Xuan, TANG Jinjun, HUANG Helai, CHANG Fangrong, WANG Jie, YUAN Shuanglin. An Analysis of Influential Factors of Crashes at Tunnels and Open Sections of Mountainous Freeways[J]. Journal of Transport Information and Safety, 2022, 40(3): 10-18. doi: 10.3963/j.jssn.1674-4861.2022.03.002
Citation: ZHANG Xuan, TANG Jinjun, HUANG Helai, CHANG Fangrong, WANG Jie, YUAN Shuanglin. An Analysis of Influential Factors of Crashes at Tunnels and Open Sections of Mountainous Freeways[J]. Journal of Transport Information and Safety, 2022, 40(3): 10-18. doi: 10.3963/j.jssn.1674-4861.2022.03.002
shu

An Analysis of Influential Factors of Crashes at Tunnels and Open Sections of Mountainous Freeways

doi: 10.3963/j.jssn.1674-4861.2022.03.002
  • 1.

    School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China

  • 2.

    School of Resources and Safety Engineering, Central South University, Changsha 410083, China

  • 3.

    School of Traffic and Transportation Changsha University of Science and Technology, Changsha 410014, China

  • 4.

    Hengyang Highway Traffic Police Detachment, Hengyang 421001, Hunan, China

  • Received Date: 2021-11-26
    Available Online: 2022-07-25
    Abstract
  • Freeway tunnels tend to have higher accident rates, due to their special engineering structure and complex traffic environments, compared to regular segments. In order to study the differences in mechanisms and factors influencing severity of crashes in tunnels and regular open sections on freeways, a total of 1 537 crashes taking place on Shaohuai Freeway from 2011 to 2016 are collected for the analysis. A binary Logit model considering the heterogeneity is used to explain the impacts of various risk factors on the likelihood of the locations of traffic crashes and to investigate the factors influencing severity of crashes taking place at tunnel and open sections. Statistical analysis results show that crashes associated with drowsy driving and unsafe following distance are more likely to occur in the tunnel sections, and the crash probability is 2.373 and 2.482 times higher than that in the open sections, respectively. In the tunnel sections, downhill (slope more than 2%), summer, and speeding are positively correlated to the likelihood of injury crashes, and the probability that crashes take place at downhill (slope more than 2%) sections is 3.397 higher than uphill (slope more than 2%) sections in resulting in serious accidents. It is also found that the probability of serious crashes taking place in the summer is 3.951 higher than that in the autumn; and the probability of the speeding behaviors is 4.242 higher than other inappropriate behavior. In the open sections, speeding and fatigue driving are likely to be associated with injury crashes, and the probability that speeding results in an injury crash is 2.713 higher than other inappropriate behavior. It is also found that the probability that the fatigue driving leading to an injury crash is 4.802 higher than other inappropriate behavior. The above results show that the factors influencing the crash propensity and severity at the two types of sections are different. The conclusions of this paper can be used to formulate road safety improvement plans over tunnel and open section segments of freeways.

     

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