Models to evaluate the severity of pedestrian-vehicle conflicts in five cities
Previous studies have shown that traditional traffic conflict indicators that depend on time-proximity are not a viable measure of conflicts severity in all driving cultures. Behavior-based indicators that are dependent on road-users evasive actions were shown to better reflect severity in less-organized traffic environments. The objective of this paper is to examine the use of time proximity-based and evasive action-based indicators on pedestrian conflicts in five major cities; Shanghai, New Delhi, New York, Doha, Vancouver. Time-to-collision is used as the primary time proximity indicator. Pedestrian evasive actions are reflected in the sudden variation of pedestrian gait parameters. Ordered-response models were utilized to relate both indicators to severity taking into account the unobserved heterogeneity in conflicts. Results show that the evasive action-based indicator is most effective in less-organized traffic environments such as Shanghai and New Delhi while the time proximity measure was shown effective in more structured environments such as Vancouver.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23249935
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Supplemental Notes:
- © 2018 Hong Kong Society for Transportation Studies Limited.
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Authors:
- Tageldin, Ahmed
- Sayed, Tarek
- Publication Date: 2019-11
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 354-375
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Serial:
- Transportmetrica A: Transport Science
- Volume: 15
- Issue Number: 2
- Publisher: Taylor & Francis
- ISSN: 2324-9935
- EISSN: 2324-9943
- Serial URL: http://www.tandfonline.com/loi/ttra21
Subject/Index Terms
- TRT Terms: Cities; Crash severity; Mathematical models; Pedestrian vehicle crashes; Time
- Candidate Terms: Time-to-collision
- Geographic Terms: Doha (Qatar); New Delhi (India); New York (New York); Shanghai (China); Vancouver (Canada)
- Subject Areas: Highways; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01724667
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 4 2019 5:11PM