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Where are the dangerous intersections for pedestrians and cyclists: A colocation-based approach

机译:行人和骑自行车者的危险路口在哪里:基于托管的方法

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摘要

Pedestrians and cyclists are vulnerable road users. They are at greater risk for being killed in a crash than other road users. The percentage of fatal crashes that involve a pedestrian or cyclist is higher than the overall percentage of total trips taken by both modes. Because of this risk, finding ways to minimize problematic street environments is critical. Understanding traffic safety spatial patterns and identifying dangerous locations with significantly high crash risks for pedestrians and cyclists is essential in order to design possible countermeasures to improve road safety. This research develops two indicators for examining spatial correlation patterns between elements of the built environment (intersections) and crashes (pedestrian- or cyclist-involved). The global colocation quotient detects the overall connection in an area while the local colocation quotient identifies the locations of high-risk intersections. To illustrate our approach, we applied the methods to inspect the colocation patterns between pedestrian- or cyclist-vehicle crashes and intersections in Houston, Texas and we identified among many intersections the ones that significantly attract crashes. We also scrutinized those intersections, discussed possible attributes leading to high colocation of crashes, and proposed corresponding countermeasures.
机译:行人和骑自行车的人是脆弱的道路使用者。与其他道路使用者相比,他们在撞车事故中丧生的风险更大。涉及行人或骑自行车的人的致命交通事故的百分比高于两种方式的总旅行次数的总百分比。由于存在这种风险,因此找到最小化问题街道环境的方法至关重要。为了设计可能的对策以改善道路安全,必须了解交通安全的空间格局并确定行人和骑自行车者的撞车风险极高的危险位置。这项研究提出了两个指标,用于检查建筑环境(交叉口)和碰撞(行人或骑自行车的人所涉及)之间的空间相关性模式。全局托管商确定区域中的整体连接,而本地托管商识别高风险交叉口的位置。为了说明我们的方法,我们应用了这些方法来检查德克萨斯州休斯顿的行人或骑车人的车祸与交叉口之间的并置模式,并在许多交叉口中识别出明显引起车祸的交叉口。我们还仔细检查了这些交叉路口,讨论了导致事故高度共处的可能属性,并提出了相应的对策。

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