Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime
Cycling provides an important alternative to environmental-friendly transportation modes in urban areas. However, cyclists are vulnerable road users and often suffer severe injuries once crashes occur, which has impeded the growth of bicycle uses. Identification of factors that influence injury seve...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2022-12-01
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| Series: | International Journal of Transportation Science and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043021000769 |
| _version_ | 1827880272747560960 |
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| author | Shaojie Liu Yang Li Wei (David) Fan |
| author_facet | Shaojie Liu Yang Li Wei (David) Fan |
| author_sort | Shaojie Liu |
| collection | DOAJ |
| description | Cycling provides an important alternative to environmental-friendly transportation modes in urban areas. However, cyclists are vulnerable road users and often suffer severe injuries once crashes occur, which has impeded the growth of bicycle uses. Identification of factors that influence injury severities of crashes involving cyclists can help policy-makers form efficient strategies to mitigate crashes. Moreover, crashes involving cyclists at daytime and nighttime are very likely to present different patterns. Hence, the objective of this study is to explore the underlying factors to injury severity in crashes involving cyclists in the daytime and nighttime separately. Mixed logit model approach is employed due to its advantage of accounting for heterogeneity in observations and four factors are found to have random effects in the mixed logit model for daytime. The differences of crash mechanisms at daytime and nighttime are discussed, and the results of this research would help to develop effective policies that aim to mitigate the injury severities of cyclists while promoting the use of bicycles. |
| first_indexed | 2024-03-12T18:19:20Z |
| format | Article |
| id | doaj.art-87c2d9da0b7a4ec28f705f436e527554 |
| institution | Directory Open Access Journal |
| issn | 2046-0430 |
| language | English |
| last_indexed | 2024-03-12T18:19:20Z |
| publishDate | 2022-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Transportation Science and Technology |
| spelling | doaj.art-87c2d9da0b7a4ec28f705f436e5275542023-08-02T08:59:43ZengKeAi Communications Co., Ltd.International Journal of Transportation Science and Technology2046-04302022-12-01114738751Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttimeShaojie Liu0Yang Li1Wei (David) Fan2Department of Civil and Environmental Engineering, University of North Carolina at Charlotte, Charlotte, NC 28223, U.S.ADepartment of Civil and Environmental Engineering, University of North Carolina at Charlotte, Charlotte, NC 28223, U.S.ACorresponding author.; Department of Civil and Environmental Engineering, University of North Carolina at Charlotte, Charlotte, NC 28223, U.S.ACycling provides an important alternative to environmental-friendly transportation modes in urban areas. However, cyclists are vulnerable road users and often suffer severe injuries once crashes occur, which has impeded the growth of bicycle uses. Identification of factors that influence injury severities of crashes involving cyclists can help policy-makers form efficient strategies to mitigate crashes. Moreover, crashes involving cyclists at daytime and nighttime are very likely to present different patterns. Hence, the objective of this study is to explore the underlying factors to injury severity in crashes involving cyclists in the daytime and nighttime separately. Mixed logit model approach is employed due to its advantage of accounting for heterogeneity in observations and four factors are found to have random effects in the mixed logit model for daytime. The differences of crash mechanisms at daytime and nighttime are discussed, and the results of this research would help to develop effective policies that aim to mitigate the injury severities of cyclists while promoting the use of bicycles.http://www.sciencedirect.com/science/article/pii/S2046043021000769Bicycle-vehicle crashesCyclistsMixed logit model |
| spellingShingle | Shaojie Liu Yang Li Wei (David) Fan Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime International Journal of Transportation Science and Technology Bicycle-vehicle crashes Cyclists Mixed logit model |
| title | Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime |
| title_full | Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime |
| title_fullStr | Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime |
| title_full_unstemmed | Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime |
| title_short | Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime |
| title_sort | mixed logit model based diagnostic analysis of bicycle vehicle crashes at daytime and nighttime |
| topic | Bicycle-vehicle crashes Cyclists Mixed logit model |
| url | http://www.sciencedirect.com/science/article/pii/S2046043021000769 |
| work_keys_str_mv | AT shaojieliu mixedlogitmodelbaseddiagnosticanalysisofbicyclevehiclecrashesatdaytimeandnighttime AT yangli mixedlogitmodelbaseddiagnosticanalysisofbicyclevehiclecrashesatdaytimeandnighttime AT weidavidfan mixedlogitmodelbaseddiagnosticanalysisofbicyclevehiclecrashesatdaytimeandnighttime |