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Facility Location and Reliable Route Planning in Hazardous Material Transportation

Author

Listed:
  • Mary E. Helander

    (Department of Mechanical Engineering and Department of Computer & Information Science, Linköping University, S-581 83 Linköping, Sweden)

  • Emanuel Melachrinoudis

    (Department of Mechanical, Industrial & Manufacturing Engineering, Northeastern University, Boston, Massachusetts 02115 USA)

Abstract

This paper considers integrated location and routing models for minimizing the expected number of hazardous material transport accidents. Two different routing policies are considered: (1) most reliable route planning and (2) multiple routing with random selection. Path reliability measurements are used to derive the expected number of accidents over a given planning horizon, where reliability refers to the probability of completing a journey without accident. Corresponding to the two routing policies, two location models are introduced: the reliable 1-median and a location framework for considering multiple routes. Based on realistic assumptions for assigning accident probabilities to segments created when an edge location is considered, vertex optimality results for both problems are obtained. An example to illustrate reliable routing and location in Massachusetts is provided.

Suggested Citation

  • Mary E. Helander & Emanuel Melachrinoudis, 1997. "Facility Location and Reliable Route Planning in Hazardous Material Transportation," Transportation Science, INFORMS, vol. 31(3), pages 216-226, August.
    • Handle: RePEc:inm:ortrsc:v:31:y:1997:i:3:p:216-226
    DOI: 10.1287/trsc.31.3.216
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    Cited by:

    1. Yan Sun & Maoxiang Lang & Danzhu Wang, 2016. "Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints," IJERPH, MDPI, vol. 13(8), pages 1-31, July.
    2. Misagh Rahbari & Alireza Arshadi Khamseh & Yaser Sadati-Keneti & Mohammad Javad Jafari, 2022. "A risk-based green location-inventory-routing problem for hazardous materials: NSGA II, MOSA, and multi-objective black widow optimization," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2804-2840, February.

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