Multi-level hot zone identification for pedestrian safety

Accident Analysis and Prevention

Volumn 76, Issue , 2015, Pages 64-73

  Lee, Jaeyoung ^a   Abdel Aty, Mohamed ^a   Choi, Keechoo ^b   Huang, Helai ^c  

^a University of Central Florida   (United States)

^b Ajou University   (South Korea)

^c CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Bayesian approach; CAR; Gaussian conditional autoregressive; Macroscopic analysis; Pedestrian safety; Poisson lognormal model; Screening; Simultaneous equations modeling; Spatial error modeling

Indexed keywords

BAYESIAN NETWORKS; CODES (SYMBOLS); HIGHWAY ACCIDENTS; POISSON EQUATION; SAFETY ENGINEERING; SCREENING;

BAYESIAN APPROACHES; CAR; CONDITIONAL AUTOREGRESSIVE; LOG-NORMAL MODEL; MACROSCOPIC ANALYSIS; SIMULTANEOUS EQUATIONS MODEL; SPATIAL ERROR MODELS;

PEDESTRIAN SAFETY;

BAYES THEOREM; EDUCATION; ENVIRONMENTAL PLANNING; HUMAN; MORTALITY; PEDESTRIAN; POISSON DISTRIBUTION; PREVENTION AND CONTROL; RISK ASSESSMENT; SAFETY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; TRAFFIC ACCIDENT; UNITED STATES;

ACCIDENTS, TRAFFIC; BAYES THEOREM; ENVIRONMENT DESIGN; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; PEDESTRIANS; POISSON DISTRIBUTION; RISK ASSESSMENT; SAFETY; UNITED STATES;

EID: 84921407732     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2015.01.006     Document Type: Article

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