Analysis of factors that influence hazardous material transportation accidents based on Bayesian networks: A case study in China

Safety Science

Volumn 50, Issue 4, 2012, Pages 1049-1055

  Zhao, Laijun ^a   Wang, Xulei ^a,b   Qian, Ying ^a  

^a SHANGHAI UNIVERSITY   (China)

^b QINGDAO AGRICULTURAL UNIVERSITY   (China)

Author keywords

Bayesian networks; Dempster Shafer evidence theory; Expectation maximization algorithm; Hazardous materials (Hazmat); Transportation

Indexed keywords

BAYESIAN NETWORK STRUCTURE; CONDITIONAL INDEPENDENCES; DEMPSTER SHAFER EVIDENCE THEORY; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; EXPERT KNOWLEDGE; HAZARDOUS MATERIAL TRANSPORTATION; HAZMAT TRANSPORTATION; INFLUENTIAL FACTORS; POSTERIOR PROBABILITY; RISK OF ACCIDENTS; THEORETICAL BASIS; TRANSPORT VEHICLES;

ACCIDENTS; HAZARDOUS MATERIALS; HUMAN ENGINEERING; LEARNING ALGORITHMS; MATERIALS HANDLING; MAXIMUM PRINCIPLE; STATISTICAL TESTS; TRANSPORTATION;

BAYESIAN NETWORKS;

ARTICLE; BAYES THEOREM; CASE STUDY; CHINA; DANGEROUS GOODS; EXPERT SYSTEM; FACTORIAL ANALYSIS; KNOWLEDGE; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROBABILITY; RISK REDUCTION; TRAFFIC ACCIDENT;

EID: 84856459099     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2011.12.003     Document Type: Article

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