Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit model

Accident Analysis and Prevention

Volumn 131, Issue , 2019, Pages 316-326

  Chang, Fangrong ^a,c   Xu, Pengpeng ^b   Zhou, Hanchu ^a   Chan, Alan H S ^c   Huang, H ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Injury severity analysis; Latent class clustering; Motorcycle crashes; Random parameters logit model; Unobserved heterogeneity

Indexed keywords

ACCIDENT PREVENTION; CLUSTER ANALYSIS; MOTORCYCLES;

INJURY SEVERITY; LATENT CLASS; MOTORCYCLE CRASHES; RANDOM PARAMETERS LOGIT; UNOBSERVED HETEROGENEITY;

HEALTH RISKS;

CHINA; CLASSIFICATION; FEMALE; HUMAN; INJURY; INJURY SCALE; LATENT CLASS ANALYSIS; MALE; MORTALITY; MOTORCYCLE; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; STATISTICAL MODEL; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; BUILT ENVIRONMENT; CHINA; FEMALE; HUMANS; INJURY SEVERITY SCORE; LATENT CLASS ANALYSIS; LOGISTIC MODELS; MALE; MOTORCYCLES; RISK FACTORS; ROC CURVE; WOUNDS AND INJURIES;

EID: 85069709833     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2019.07.012     Document Type: Article

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