Macro-level vulnerable road users crash analysis: A Bayesian joint modeling approach of frequency and proportion

Accident Analysis and Prevention

Volumn 107, Issue , 2017, Pages 11-19

  Cai, Qing ^a   Abdel Aty, Mohamed ^a   Lee, Jaeyoung ^a  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Frequency and proportion; Hot zones identification; Joint model; Non motorist crashes; Total crashes; Vulnerable users

Indexed keywords

AUTOMOBILE DRIVERS; FOOTBRIDGES; PEDESTRIAN SAFETY; REGRESSION ANALYSIS; ROADS AND STREETS;

FREQUENCY AND PROPORTION; HOT ZONE; JOINT MODELING; NON-MOTORIST CRASHES; TOTAL CRASHES; VULNERABLE USERS;

ACCIDENTS;

BAYES THEOREM; CAR DRIVING; CYCLING; ENVIRONMENTAL PLANNING; FLORIDA; HUMAN; PEDESTRIAN; PREVENTION AND CONTROL; RISK ASSESSMENT; STANDARDS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; BAYES THEOREM; BICYCLING; ENVIRONMENT DESIGN; FLORIDA; HUMANS; LOGISTIC MODELS; MODELS, STATISTICAL; PEDESTRIANS; RISK ASSESSMENT;

EID: 85025691494     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2017.07.020     Document Type: Article

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