Utilization of accident databases and fuzzy sets to estimate frequency of HazMat transport accidents.
Risk assessment and management of transportation of hazardous materials (HazMat) require the estimation of accident frequency. This paper presents a methodology to estimate hazardous materials transportation accident frequency by utilizing publicly available databases and expert knowledge. The estimation process addresses route-dependent and route-independent variables. Negative binomial regression is applied to an analysis of the Department of Public Safety (DPS) accident database to derive basic accident frequency as a function of route-dependent variables, while the effects of route-independent variables are modeled by fuzzy logic. The integrated methodology provides the basis for an overall transportation risk analysis, which can be used later to develop a decision support system.
Qiao
Yuanhua
Y
Mary Kay O'Connor Process Safety Center, Chemical Engineering Department, Texas A&M University, College Station, TX 77843-3122, USA.
Keren
Nir
N
Mannan
M Sam
MS
D000059:Accidents / Q000706:statistics & numerical data*; D000063:Accidents, Traffic; D016208:Databases, Factual; D017143:Fuzzy Logic; D015386:Hazardous Substances; D018570:Risk Assessment; D017751:Safety Management; D014186:Transportation
D015386:Hazardous Substances