Journal of Transportation Safety & Security ( IF 2.825 ) Pub Date : 2020-06-30 , DOI: 10.1080/19439962.2020.1781312 Haojie Li 1, 2, 3 , Dongyu Wu 1, 2, 3 , Ziqian Zhang 1, 2, 3 , Yingheng Zhang 1, 2, 3
Abstract
The analyses of the safety effects of the road network features can help to understand the risk factors in road crashes and provide useful policy implications. In macro-level analyses, adjacent traffic analysis zones (TAZs) could influence each other on road safety. Therefore, it is necessary to move beyond the common practice of just examining the road network of the TAZ itself and analyze how and to what extent the interrelated factors of the objective TAZ and its adjacent TAZs interact to affect crash frequency. This study aims to investigate the safety impacts of the discrepancies and accesses between adjacent TAZs. Based on data from London at the level of Lower Layer Super Output Area (LSOA), the Bayesian model was employed to analyze the safety effects of various factors related to the discrepancies and accesses (i.e., access number, discrepancies of road network density). A spatial weight based on the access number was applied when establishing the Bayesian spatial models. Results suggest that TAZs with greater discrepancies and more accesses from adjacent TAZs experience more crashes.
中文翻译:
相邻交通分析区域之间的差异和访问的安全影响
摘要
对道路网络特征的安全影响的分析有助于了解道路碰撞的风险因素并提供有用的政策启示。在宏观层面的分析中,相邻的交通分析区 (TAZ) 可能会相互影响道路安全。因此,有必要超越仅检查 TAZ 本身的道路网络的常规做法,并分析目标 TAZ 及其相邻 TAZ 的相关因素如何以及在多大程度上相互作用以影响碰撞频率。本研究旨在调查相邻 TAZ 之间的差异和访问的安全影响。基于来自伦敦的低层超级输出区(LSOA)层面的数据,采用贝叶斯模型分析了与差异和访问相关的各种因素(即访问数量,路网密度的差异)。在建立贝叶斯空间模型时,应用了基于访问数的空间权重。结果表明,具有更大差异和更多来自相邻 TAZ 的访问的 TAZ 会经历更多的崩溃。