A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity

Analytic Methods in Accident Research

Volumn 1, Issue , 2014, Pages 23-38

  Yasmin, Shamsunnahar ^a   Eluru, Naveen ^a   Bhat, Chandra R ^b   Tay, Richard ^c  

^a MCGILL UNIVERSITY   (Canada)

^b The University of Texas at Austin   (United States)

^c LA TROBE UNIVERSITY   (Australia)

Author keywords

Crash characteristics; Driver injury severity; Elasticities; Generalized ordered logit; Latent segmentation

Indexed keywords

ELASTICITY; HIGHWAY PLANNING; LOGISTIC REGRESSION;

CRASH CHARACTERISTICS; DRIVER INJURY SEVERITIES; ENVIRONMENTAL FACTORS; EXOGENOUS VARIABLES; ORDERED LOGIT; ORDERED LOGIT MODEL; SITUATIONAL FACTORS; VEHICLE CHARACTERISTICS;

ACCIDENTS;

EID: 84893491960     PISSN: 22136657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amar.2013.10.002     Document Type: Article

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