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Effects of freeway climbing lane on crash frequency: Application of propensity scores and potential outcomes

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  • Hou, Qinzhong
  • Meng, Xianghai
  • Huo, Xiaoyan
  • Cheng, Yuxing
  • Leng, Junqiang

Abstract

In this paper, the effects of climbing lane on traffic safety were investigated using propensity scores and potential outcomes. Firstly, a binary logit model was developed to estimate propensity scores, and nearest neighbor matching technique with caliper was selected as the suitable matching method. Then, a random effects negative binominal (RENB) model was estimated to further explore the mechanism of safety benefits of climbing lanes. The results indicated that installing a climbing lane on steep uphill freeway segment can reduce the crash frequency, crashes per kilometer and crashes per 100 million vehicle-kilometers traveled by 18.27%, 19.49% and 17.41%, respectively. The safety effects of traffic volume, longitudinal grade and curvature did not change significantly for a segment before and after installing a climbing lane. However, the adverse effects of heavy truck proportion and distance along composite ascending grade on safety could be considerably mitigated by installing a climbing lane.

Suggested Citation

  • Hou, Qinzhong & Meng, Xianghai & Huo, Xiaoyan & Cheng, Yuxing & Leng, Junqiang, 2019. "Effects of freeway climbing lane on crash frequency: Application of propensity scores and potential outcomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 246-256.
    • Handle: RePEc:eee:phsmap:v:517:y:2019:i:c:p:246-256
    DOI: 10.1016/j.physa.2018.09.117
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    Cited by:

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    4. Zeng, Jiao-Yan & Ou, Hui & Tang, Tie-Qiao, 2019. "Feedback strategy with delay in a two-route traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).

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