A new approach to hazardous materials transportation risk analysis: Decision modeling to identify critical variables

Risk Analysis

Volumn 29, Issue 3, 2009, Pages 344-354

  Clark, Renee M ^a   Besterfield Sacre, Mary E ^a,b  

^a University of Pittsburgh ^*

^b University of Pittsburgh   (United States)

Author keywords

Bayesian network decision model; Container unloading; Hazardous materials transportation risk; Large categorical database; Loglinear modeling

Indexed keywords

BAYESIAN NETWORK DECISION MODEL; CONTAINER UNLOADING; HAZARDOUS MATERIALS TRANSPORTATION RISK; LARGE CATEGORICAL DATABASE; LOGLINEAR MODELING;

BAYESIAN NETWORKS; CONTAINERS; DISTRIBUTED PARAMETER NETWORKS; HAZARDOUS MATERIALS; INFERENCE ENGINES; INTELLIGENT NETWORKS; KNOWLEDGE BASED SYSTEMS; LOADING; MANAGEMENT SCIENCE; MATERIALS; MATERIALS HANDLING; RISK ANALYSIS; RISK MANAGEMENT; RISKS; SAFETY FACTOR; SPEECH ANALYSIS; UNLOADING;

RISK ASSESSMENT;

BAYESIAN ANALYSIS; DATABASE; DECISION ANALYSIS; HAZARD ASSESSMENT; RISK ASSESSMENT;

ARTICLE; BAYES THEOREM; DANGEROUS GOODS; DECISION MAKING; LATENT CLASS ANALYSIS; LOGLINEAR MODEL; MATERIALS HANDLING; MODEL; RISK ASSESSMENT; STATISTICAL ANALYSIS; SYSTEM ANALYSIS; TRAFFIC AND TRANSPORT;

DECISION MAKING; HAZARDOUS SUBSTANCES; HUMANS; MODELS, THEORETICAL; RISK; TRANSPORTATION;

EID: 60349103218     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2008.01163.x     Document Type: Article

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