Multivariate linear intervention models with random parameters to estimate the effectiveness of safety treatments: Case study of intersection device program

Accident Analysis and Prevention

Volumn 120, Issue , 2018, Pages 114-121

  Sacchi, Emanuele ^a   El Basyouny, Karim ^b  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Before after studies; Crash modification functions; Intervention models; Multivariate models; Random parameters

Indexed keywords

MOTOR TRANSPORTATION;

BEFORE-AFTER STUDY; DEVIANCE INFORMATION CRITERION; INTERVENTION MODELS; MULTIVARIATE MODELS; RANDOM PARAMETER MODEL; RANDOM PARAMETERS; SAFETY COUNTERMEASURES; UNOBSERVED HETEROGENEITY;

TIME SERIES;

ALBERTA; BAYES THEOREM; ENVIRONMENTAL PLANNING; HUMAN; PREVENTION AND CONTROL; RISK ASSESSMENT; SAFETY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; ALBERTA; BAYES THEOREM; ENVIRONMENT DESIGN; HUMANS; LINEAR MODELS; RISK ASSESSMENT; SAFETY;

EID: 85051409360     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2018.08.007     Document Type: Article

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