Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72277
Title: An accident risk-based approach for hazmat transportation decision making
Authors: Roohi, S.F.
Xie, M. 
Ng, K.M. 
Keywords: Accident rate estimation
Accident risk
Hazardous material transportation
Markov chain Monte Carlo simulation
Issue Date: 2011
Source: Roohi, S.F.,Xie, M.,Ng, K.M. (2011). An accident risk-based approach for hazmat transportation decision making. Proceedings - 17th ISSAT International Conference on Reliability and Quality in Design : 122-126. ScholarBank@NUS Repository.
Abstract: Transportation of hazardous materials (hazmats) is always risky and vulnerable to many types of accidents. In this paper, decisions made on the amount of each hazmat that can be transported via different modes of transportation systems are based on the accident consequence risks. The routes between supplier and consumer nodes are specified in advance, and each route is divided into segments having different respective risks of accident. The objectives of the resulting problem are to maximize the total net monetary value of transportation and to minimize the total segments' risks. We present Markov Chain Monte Carlo (MCMC) simulation to assess the expected value of accident and consequence rates. The application and efficiency of the proposed model are illustrated by a realistic numerical example.
Source Title: Proceedings - 17th ISSAT International Conference on Reliability and Quality in Design
URI: http://scholarbank.nus.edu.sg/handle/10635/72277
ISBN: 9780976348672
Appears in Collections:Staff Publications

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