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- Publisher Website: 10.1080/19439962.2018.1551257
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Article: Random parameter probit models to analyze pedestrian red-light violations and injury severity in pedestrian–motor vehicle crashes at signalized crossings
Title | Random parameter probit models to analyze pedestrian red-light violations and injury severity in pedestrian–motor vehicle crashes at signalized crossings |
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Authors | |
Keywords | pedestrian crash signalized crossing red-light violation injury severity random parameter probit model |
Issue Date | 2020 |
Publisher | Taylor & Francis Inc. The Journal's web site is located at http://www.tandfonline.com/loi/utss20 |
Citation | Journal of Transportation Safety & Security, 2020, v. 12 n. 6, p. 818-837 How to Cite? |
Abstract | Pedestrian red-light violations at signalized crossings are an important traffic safety concern, particularly in densely populated cities. In this study, the authors quantitatively investigated the factors associated with pedestrian red-light violations and injury severity resulting from pedestrian–motor vehicle crashes at signalized crossings. Random parameter probit models are used to account for individual-specific heterogeneity that arises from a set of unmeasured factors related to traffic conditions and the pedestrians’ physical and mental status. Data for the analysis are based on the historical crash record maintained by the Hong Kong Transport Department. Children younger than age 11 years are not only associated with a higher likelihood of pedestrian red-light violations but also tend to have a higher probability of severe injuries. Factors including summer, dual carriageways with a central traffic island, and pedestrian age of 12 to 25 years are solely related to a higher likelihood of pedestrian red-light violations; meanwhile, variables solely associated with a higher probability of severe injuries include crashes that occur between 22:00 and 06:59, crashes occurring in rainy weather, crashes involving pedestrians older than age 46 years, and bus crashes. Appropriate countermeasures are recommended to curb pedestrian red-light violations and to reduce the injury severity of pedestrian crashes. |
Persistent Identifier | http://hdl.handle.net/10722/283360 |
ISSN | 2023 Impact Factor: 2.4 2023 SCImago Journal Rankings: 0.699 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, J | - |
dc.contributor.author | Huang, H | - |
dc.contributor.author | Xu, P | - |
dc.contributor.author | Xie, S | - |
dc.contributor.author | Wong, SC | - |
dc.date.accessioned | 2020-06-22T02:55:28Z | - |
dc.date.available | 2020-06-22T02:55:28Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Journal of Transportation Safety & Security, 2020, v. 12 n. 6, p. 818-837 | - |
dc.identifier.issn | 1943-9962 | - |
dc.identifier.uri | http://hdl.handle.net/10722/283360 | - |
dc.description.abstract | Pedestrian red-light violations at signalized crossings are an important traffic safety concern, particularly in densely populated cities. In this study, the authors quantitatively investigated the factors associated with pedestrian red-light violations and injury severity resulting from pedestrian–motor vehicle crashes at signalized crossings. Random parameter probit models are used to account for individual-specific heterogeneity that arises from a set of unmeasured factors related to traffic conditions and the pedestrians’ physical and mental status. Data for the analysis are based on the historical crash record maintained by the Hong Kong Transport Department. Children younger than age 11 years are not only associated with a higher likelihood of pedestrian red-light violations but also tend to have a higher probability of severe injuries. Factors including summer, dual carriageways with a central traffic island, and pedestrian age of 12 to 25 years are solely related to a higher likelihood of pedestrian red-light violations; meanwhile, variables solely associated with a higher probability of severe injuries include crashes that occur between 22:00 and 06:59, crashes occurring in rainy weather, crashes involving pedestrians older than age 46 years, and bus crashes. Appropriate countermeasures are recommended to curb pedestrian red-light violations and to reduce the injury severity of pedestrian crashes. | - |
dc.language | eng | - |
dc.publisher | Taylor & Francis Inc. The Journal's web site is located at http://www.tandfonline.com/loi/utss20 | - |
dc.relation.ispartof | Journal of Transportation Safety & Security | - |
dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Transportation Safety & Security on 24 Jan 2019, available online: http://www.tandfonline.com/10.1080/19439962.2018.1551257 | - |
dc.subject | pedestrian crash | - |
dc.subject | signalized crossing | - |
dc.subject | red-light violation | - |
dc.subject | injury severity | - |
dc.subject | random parameter probit model | - |
dc.title | Random parameter probit models to analyze pedestrian red-light violations and injury severity in pedestrian–motor vehicle crashes at signalized crossings | - |
dc.type | Article | - |
dc.identifier.email | Xie, S: seakay@connect.hku.hk | - |
dc.identifier.email | Wong, SC: hhecwsc@hku.hk | - |
dc.identifier.authority | Wong, SC=rp00191 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1080/19439962.2018.1551257 | - |
dc.identifier.scopus | eid_2-s2.0-85060566460 | - |
dc.identifier.hkuros | 310345 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 818 | - |
dc.identifier.epage | 837 | - |
dc.identifier.isi | WOS:000540447900006 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1943-9970 | - |