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Traffic Injury Prevention Volume 22, 2021 - Issue 7
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Mixed logit approach to analyzing pedestrian injury severity in pedestrian-vehicle crashes in North Carolina: Considering time-of-day and day-of-week

Li Songa Department of Civil and Environmental Engineering, University of North Carolina at Charlotte, Charlotte, North CarolinaView further author information
,
Yang Lia Department of Civil and Environmental Engineering, University of North Carolina at Charlotte, Charlotte, North CarolinaView further author information
,
Wei (David) Fanb Department of Civil and Environmental Engineering, USDOT Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE), University of North Carolina at Charlotte, Charlotte, North CarolinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9815-710XView further author information
ORCID Icon &
Pengfei Liub Department of Civil and Environmental Engineering, USDOT Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE), University of North Carolina at Charlotte, Charlotte, North CarolinaView further author information
Pages 524-529 | Received 17 May 2020, Accepted 06 Jun 2021, Published online: 15 Jul 2021

Citations (10)

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Read on this site (2)

Mouyid Islam & Fred Mannering. (2023) An empirical analysis of how asleep/fatigued driving-injury severities have changed over time. Journal of Transportation Safety & Security 15:4, pages 397-420.
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Tianjia Yang, Wei (David) Fan & Li Song. (2023) Modeling pedestrian injury severity in pedestrian-vehicle crashes considering different land use patterns: Mixed logit approach. Traffic Injury Prevention 24:2, pages 114-120.
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Articles from other publishers (8)

Masayoshi Tanishita, Yuta Sekiguchi & Daisuke Sunaga. (2023) Impact analysis of road infrastructure and traffic control on severity of pedestrian–vehicle crashes at intersections and non-intersections using bias-reduced logistic regression. IATSS Research 47:2, pages 233-239.
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Mouyid Islam, Asim Alogaili, Fred Mannering & Michael Maness. (2023) Evidence of sample selectivity in highway injury-severity models: The case of risky driving during COVID-19. Analytic Methods in Accident Research 38, pages 100263.
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Sunday Okafor, Jun Liu, Emmanuel Kofi Adanu & Steven Jones. (2023) Behavioral pathway analysis of pedestrian injury severity in pedestrian-motor vehicle crashes. Transportation Research Interdisciplinary Perspectives 18, pages 100777.
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Mubarak Alrumaidhi & Hesham A. Rakha. (2022) Factors Affecting Crash Severity among Elderly Drivers: A Multilevel Ordinal Logistic Regression Approach. Sustainability 14:18, pages 11543.
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Angelo Rampinelli, Juan Felipe Calderón, Carola A. Blazquez, Karen Sauer-Brand, Nicolás Hamann & José Ignacio Nazif-Munoz. (2022) Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile. International Journal of Environmental Research and Public Health 19:17, pages 11126.
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Nawaf Alnawmasi & Fred Mannering. (2022) A temporal assessment of distracted driving injury severities using alternate unobserved-heterogeneity modeling approaches. Analytic Methods in Accident Research 34, pages 100216.
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Asim Alogaili & Fred Mannering. (2022) Differences between day and night pedestrian-injury severities: Accounting for temporal and unobserved effects in prediction. Analytic Methods in Accident Research 33, pages 100201.
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Xinyu Qu, Xinyan Zhu, Xiongwu Xiao, Huayi Wu, Bingxuan Guo & Deren Li. (2021) Exploring the Influences of Point-of-Interest on Traffic Crashes during Weekdays and Weekends via Multi-Scale Geographically Weighted Regression. ISPRS International Journal of Geo-Information 10:11, pages 791.
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