Analyzing the Injury Severity in Overturn Crashes Involving Sport Utility Vehicles: Latent Class Clustering and Random Parameter Logit Model-Reference-Cited by-同舟云学术

Analyzing the Injury Severity in Overturn Crashes Involving Sport Utility Vehicles: Latent Class Clustering and Random Parameter Logit Model

Published:2023-03 Issue:3 Volume:149 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Hua Chengying¹,Fan Wei²^ORCID,Song Li³^ORCID,Liu Shaojie¹

Affiliation:

1. Research Assistant, USDOT Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE), Dept. of Civil and Environmental Engineering, Univ. of North Carolina at Charlotte, EPIC Bldg., Room 3366, 9201 University City Boulevard, Charlotte, NC 28223-0001.

2. Director and Professor, USDOT Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE), Dept. of Civil and Environmental Engineering, Univ. of North Carolina at Charlotte, EPIC Bldg., Room 3261, 9201 University City Boulevard, Charlotte, NC 28223-0001 (corresponding author). ORCID: .

3. Research Assistant, USDOT Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE), Dept. of Civil and Environmental Engineering, Univ. of North Carolina at Charlotte, EPIC Bldg., Room 3366, 9201 University City Boulevard, Charlotte, NC 28223-0001. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7406

Reference34 articles.

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4. Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit model;Chang F.;Accid. Anal. Prev.,2019

5. Investigating driver injury severity patterns in rollover crashes using support vector machine models

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