Citation

Qiao Y, Keren N, Mannan MS. J. Hazard. Mater. 2009; 167(1-3): 374-382.

Affiliation

Mary Kay O'Connor Process Safety Center, Chemical Engineering Department, Texas A&M University, College Station, TX 77843-3122, USA.

Copyright

(Copyright © 2009, Elsevier Publishing)

DOI

10.1016/j.jhazmat.2009.01.097

PMID

19250750

Abstract

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.

Language: en