开发公平意识的安全性能功能,用于识别涉及行人撞车的热点
Guocong Zhai1, Kun Xie1, Di Yang2
1Department of Civil & Environmental Engineering, Old Dominion University, Norfolk, VA 23529, USA.
Accident; analysis and prevention
|August 30, 2024
概括
本研究介绍了公平意识的安全绩效函数 (SPF),以解决运输安全差异. 这些新型的SPF改进了在弱势地区加强安全的资源配置.
科学领域:
- 运输安全运输安全
- 交通工程是交通工程.
- 量化社会科学 量化社会科学
背景情况:
- 处境不利的地区不成比例地遇到交通事故.
- 现有的道路安全管理缺乏量化公平考虑.
- 尽管存在明显的不平等,但运输安全差异仍然存在.
研究的目的:
- 提出新的公平意识的安全绩效功能 (SPF).
- 在道路安全管理中量化整合公平考虑.
- 为了使与股权相关的变量在崩预测中得到不同的处理.
主要方法:
- 开发了使用负二项式回归的股权意识安全性能函数 (SPF).
- 引入了通过部分拉索规范化 (由参数 λ 控制) 集成的"公平距离".
- 在美国弗吉尼亚州的人口普查区级别,将SPF应用于涉及行人事故.
主要成果:
- 公平意识的SPF减少了诸如贫困和种族比率之类的变量对机频率的影响.
- 对于弱势地区,产生了更高的安全改善潜力 (PSI) 值.
- 威尔科克森的签名等级测试显示,当考虑股权时,PSI排名存在显著差异.
结论:
- 公平意识的SPF提供了一种定量方法来协调安全有效性和公平.
- 这种方法支持在道路安全资源分配方面做出更公平的决策.
- 该研究推进了解决运输规划中的安全差异的方法.
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