Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North Carolina-Reference-Cited by-同舟云学术

Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North Carolina

Published:2020-02 Issue: Volume:135 Page:105388
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Liu Pengfei,Fan Wei

Funder

United States Department of Transportation, University Transportation Center

Multimodal Mobility Solutions and Education (CAMMSE) at The University of North Carolina at Charlotte

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

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5. An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models;Behnood;Anal. Methods Accid. Res.,2016

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