A fully Bayesian multivariate approach to before-after safety evaluation

Accident Analysis and Prevention

Volumn 42, Issue 4, 2010, Pages 1118-1127

  Park, Eun Sug ^a   Park, Jaebeom ^b   Lomax, Timothy J ^a  

^a TEXAS A AND M UNIVERSITY SYSTEM   (United States)

^b Korea Expressway Corporation   (South Korea)

Author keywords

Before after evaluation with a comparison group comparison groups; Change point model; Fully Bayesian approach; Markov chain Monte Carlo; Multivariate Poisson lognormal model; Safety effectiveness

Indexed keywords

BAYESIAN APPROACHES; BEFORE-AFTER EVALUATION WITH A COMPARISON GROUP/COMPARISON GROUPS; CHANGE-POINTS; LOG-NORMAL MODEL; MARKOV CHAIN MONTE CARLO;

BAYESIAN NETWORKS; MARKOV PROCESSES; MONTE CARLO METHODS; UNCERTAINTY ANALYSIS;

PARAMETER ESTIMATION;

ACCIDENT PREVENTION; ARTICLE; BAYES THEOREM; CAR DRIVING; ENVIRONMENTAL PLANNING; HEALTH CARE QUALITY; HUMAN; KOREA; METHODOLOGY; MULTIVARIATE ANALYSIS; REPRODUCIBILITY; STATISTICS; TRAFFIC ACCIDENT;

ACCIDENT PREVENTION; ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; BAYES THEOREM; ENVIRONMENT DESIGN; HUMANS; KOREA; MULTIVARIATE ANALYSIS; PROGRAM EVALUATION; REPRODUCIBILITY OF RESULTS;

EID: 77955318543     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2009.12.026     Document Type: Article

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