An adaptive memory programming method for risk logistics operations
International Journal of Systems Science
A tabu search algorithm for the safe transportation of hazardous materials
Proceedings of the 2005 ACM symposium on Applied computing
Solving the hazmat transport network design problem
Computers and Operations Research
Toll Policies for Mitigating Hazardous Materials Transport Risk
Transportation Science
Optimal Allocation of Protective Resources in Shortest-Path Networks
Transportation Science
Optimal Allocation of Protective Resources in Shortest-Path Networks
Transportation Science
Modeling the gateway location problem for multicommodity flow rerouting
INOC'11 Proceedings of the 5th international conference on Network optimization
On the hazmat transport network design problem
INOC'11 Proceedings of the 5th international conference on Network optimization
Conditional value-at-risk model for hazardous materials transportation
Proceedings of the Winter Simulation Conference
International Journal of Computing Science and Mathematics
International Journal of Bio-Inspired Computation
Computers and Operations Research
The Gateway Location Problem: Assessing the impact of candidate site selection policies
Discrete Applied Mathematics
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Dangerous-goods shipments remain regulated despite the widespread deregulation of the transportation industry. This is mainly due to the societal and environmental risks associated with these shipments. One of the common tools used by governments in mitigating transport risk is to close certain roads to vehicles carrying hazardous materials. In effect, the road network available to dangerous goods carriers can be determined by the government. The associated transport risk, however, is determined by the carriers' route choices. We provide a bilevel programming formulation for this network design problem. Our approach is unique in terms of its focus on the nature of the relationship between the regulator and carriers. We present an application of our methodology in Western Ontario, Canada.