A new spatial and flexible multivariate random-coefficients model for the analysis of pedestrian injury counts by severity level

Analytic Methods in Accident Research

Volumn 16, Issue , 2017, Pages 1-22

  Bhat, Chandra R ^a,b   Astroza, Sebastian ^a   Lavieri, Patrícia S ^a  

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

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Composite marginal likelihood estimation; Multivariate count model; Pedestrian injuries in traffic crashes; Spatial dependence; Unobserved heterogeneity

Indexed keywords

ACCIDENTS; COVARIANCE MATRIX; LAND USE; MOTOR TRANSPORTATION; PEDESTRIAN SAFETY; RISK ASSESSMENT; SURVEYS;

COMPOSITE MARGINAL LIKELIHOODS; COUNT MODELS; SPATIAL DEPENDENCE; TRAFFIC CRASHES; UNOBSERVED HETEROGENEITY;

HEALTH RISKS;

EID: 85020280871     PISSN: 22136657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amar.2017.05.001     Document Type: Article

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