Multivariate random-parameters zero-inflated negative binomial regression model: An application to estimate crash frequencies at intersections

Accident Analysis and Prevention

Volumn 70, Issue , 2014, Pages 320-329

  Dong, Chunjiao ^a   Clarke, David B ^a   Yan, Xuedong ^b   Khattak, Asad ^c   Huang, Baoshan ^c  

^a UNIVERSITY OF TENNESSEE   (United States)

^b BEIJING JIAOTONG UNIVERSITY   (China)

^c University of Tennessee   (United States)

Author keywords

Crash frequency; Full Bayesian method; Geometric design; Keywords; MRZINB model

Indexed keywords

BAYESIAN NETWORKS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; RISK ASSESSMENT;

BAYESIAN METHODS; CRASH FREQUENCY; GEOMETRIC DESIGN; KEYWORDS; NEGATIVE BINOMIAL REGRESSION MODEL; SIGNALIZED INTERSECTION; STATISTICAL PROPERTIES; UNOBSERVED HETEROGENEITY;

HIGHWAY PLANNING;

BAYES THEOREM; CITY; ENVIRONMENTAL PLANNING; EVALUATION STUDY; HUMAN; MULTIVARIATE ANALYSIS; PREVENTION AND CONTROL; REGRESSION ANALYSIS; SAFETY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT; UNITED STATES;

ACCIDENTS, TRAFFIC; BAYES THEOREM; CITIES; ENVIRONMENT DESIGN; HUMANS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; SAFETY; TENNESSEE;

EID: 84901033661     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2014.04.018     Document Type: Article

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