Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach

Accident Analysis and Prevention

Volumn 98, Issue , 2017, Pages 330-337

  Xu, Pengpeng ^a   Huang, Helai ^b   Dong, Ni ^c   Wong, S C ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b CENTRAL SOUTH UNIVERSITY   (China)

^c SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

Bayesian inference; Conditional autoregressive prior; Crash frequency; Spatial heterogeneity; Unobserved heterogeneity

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES;

BAYESIAN INFERENCE; CONDITIONAL AUTOREGRESSIVE; CRASH FREQUENCY; SPATIAL HETEROGENEITY; UNOBSERVED HETEROGENEITY;

RANDOM PROCESSES;

BAYES THEOREM; ENVIRONMENTAL PLANNING; FLORIDA; HUMAN; SAFETY; SPATIAL REGRESSION; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; BAYES THEOREM; ENVIRONMENT DESIGN; FLORIDA; HUMANS; MODELS, STATISTICAL; SAFETY; SPATIAL REGRESSION;

EID: 84994357592     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2016.10.015     Document Type: Article

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