Where are the dangerous intersections for pedestrians and cyclists: A colocation-based approach |
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| Institution: | 1. School of Geosciences, University of South Florida, Tampa, FL 33620, USA;2. Department of Civil and Environmental Engineering, University of South Florida, Tampa, FL 33620, USA;3. Kinder Institute for Urban Research, Rice University, Houston, TX 77005, USA;1. Zachry Department of Civil Engineering, Texas A & M University, College Station, TX 77843, United States;2. HomeAway, Austin, TX 78727, United States;3. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, United States;1. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;2. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, United States;3. AI Labs, Didi Chuxing, Beijing, China;1. Beijing Key Laboratory of Transportation Engineering, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China;2. College of Urban Construction, Hebei Normal University of Science and Technology, 360 Western Section of Hebei Avenue, Haigang District, Qinhuangdao, Hebei 066004, China;3. Institute of Industrial Science, The University of Tokyo, Komaba 4-6-1, Meguro-ku, Tokyo 153-8505, Japan;4. Graduate School of Information Sciences, Tohoku University, Aramaki Aoba 6-3-09, Aoba-ku, Sendai, Miyagi 980-8579, Japan;5. Graduate School of Engineering, Tohoku University, Aramaki Aoba 6-6, Aoba-ku, Sendai, Miyagi 980-8579, Japan;1. Department of Engineering Science and Mechanics, Shibaura Institute of Technology, 3?7?5 Toyosu, Koto?ku, Tokyo 135?8548, Japan;2. Human Machine System Laboratory, Shibaura Institute of Technology, 3?7?5 Toyosu, Koto?ku, Tokyo 135?8548, Japan;3. Faculty of System Design, Tokyo Metropolitan University, 6-6, Asahigaoka, Hino-shi, Tokyo, 191-0065, Japan;4. National Traffic Safety and Environment Laboratory, 7-42-27 Jindaiji-Higashi-machi, Chofu, Tokyo, 182-0012, Japan |
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| Abstract: | 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. |
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| Keywords: | Traffic safety Safety countermeasures Spatial patterns Colocation Houston |
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