预测印度城市行人碰撞位置:基于gis的综合时空HSID技术

IF 2.4 3区 工程技术 Q3 TRANSPORTATION
Md Saddam Hussain, A. Goswami, Ankit Gupta
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引用次数: 8

摘要

行人是全球最脆弱的道路使用者之一。近年来,科学界对分析和提高行人在机动车主导环境中的安全越来越感兴趣。本研究提出了一个三步方法来识别当前和未来的关键行人碰撞热点。首先,对印度两个城市的多年碰撞数据进行数字化处理,并利用空间自相关工具确定行人碰撞热点。其次,采用时空立方体和新兴热点分析方法预测城市街道沿线的碰撞热点;最后,使用热点识别(HSID)方法,即等效财产损害(EPDO)和上尾临界测试,根据时空碰撞严重程度对道路链路进行排序,从而识别出需要紧急干预的链路。所提出的三步综合方法是新颖的,从未被用于同时识别和优先考虑行人碰撞的关键位置,因为它已经在本研究中完成。开发的方法确定了干线道路的部分路段-加尔各答的strand路和AJC Bose路以及艾哈迈达巴德的Gota路,作为需要紧急干预的关键热点路段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting pedestrian crash locations in urban India: An integrated GIS-based spatiotemporal HSID technique
Abstract Pedestrians are one of the most vulnerable road users globally. Recent years have witnessed an increasing interest among the scientific community to analyze and enhance pedestrians' safety in an environment dominated by motor vehicles. This study proposes a three-step methodology to identify current and future critical pedestrian crash hotspots. Firstly, available multi-year crash data from two cities in India is digitized, and the spatial autocorrelation tool is used to determine the pedestrian crash hotspots. Secondly, space-time cube and emerging hotspot analysis are carried out to predict crash hotspots along urban streets. Finally, Hotspot Identification (HSID) methods, i.e., Equivalent Property Damage Only (EPDO) and Upper-tail Critical Tests are used to rank the road links based on spatio-temporal crash severity leading to the identification of links needing urgent interventions. The proposed three-step integrated methodology is novel and has never been used to simultaneously identify and prioritize the critical pedestrian crash locations as it has been done in the present study. The developed methodology identifies sections of arterial roads—Strand Road and AJC Bose Road in Kolkata and Gota Road in Ahmedabad, as the critical hotspot links that require urgent intervention.
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来源期刊
CiteScore
6.00
自引率
15.40%
发文量
38
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