Safety Assessment of Suburban-Type Arterial Roadways: New Findings Using Heterogeneity Models

Bedan Khanal, Steven Lavrenz
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引用次数: 1

Abstract

This study investigates the safety performance of suburban-type roads (STRs), a category of medium-speed arterial roads characterized by high vehicular traffic and limited pedestrian and cyclist mobility. Such roadways present unique challenges in road safety, often overlooked in traditional road design focused predominantly on driver needs. By employing a correlated random parameter ordered probit model to analyze police-reported crash severity data from STRs, this research uncovers critical insights into the factors influencing crash injury severities on these roads. Our findings highlight the nuanced impact of various dimensions, such as road design, traffic volume, and environmental conditions, on STR safety; the results offer a detailed understanding of crash contexts on STRs and point toward targeted interventions for enhancing road safety. These interventions include the potential redesign of roadways to accommodate diverse user needs and the implementation of speed regulation measures tailored to specific road characteristics. This research contributes significantly to the existing body of knowledge on suburban road safety, providing evidence-based recommendations for improving the overall safety of these increasingly prevalent road types. The implications of these findings are far-reaching, offering a foundation for future studies to explore diverse methodologies in road safety analysis and to extend this research to other geographic contexts.
郊区类型干道的安全评估:使用异质性模型的新发现
郊区型道路(STR)是一类中速干道,其特点是车辆流量大,行人和骑自行车者的流动性有限。这类道路给道路安全带来了独特的挑战,而传统的道路设计往往忽视了驾驶员的需求。通过采用相关随机参数有序概率模型分析警方报告的 STR 碰撞严重程度数据,本研究揭示了影响这些道路碰撞伤害严重程度的关键因素。我们的研究结果凸显了道路设计、交通流量和环境条件等各方面因素对 STR 安全的细微影响;研究结果提供了对 STR 上碰撞事故背景的详细了解,并指出了加强道路安全的针对性干预措施。这些干预措施包括重新设计道路以满足不同用户的需求,以及针对特定道路特点实施速度调节措施。这项研究为现有的郊区道路安全知识体系做出了重要贡献,为改善这些日益普遍的道路类型的整体安全性提供了基于证据的建议。这些研究结果影响深远,为今后探索道路安全分析的各种方法以及将这项研究扩展到其他地理环境奠定了基础。
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