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Strategic Hydrogen Refueling Station Locations with Scheduling and Routing Considerations of Individual Vehicles

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  • Jee Eun Kang

    (Department of Industrial and Systems Engineering, Institute for Sustainable Transportation and Logistics, University at Buffalo, Buffalo, New York 14260)

  • Will Recker

    (Department of Civil and Environmental Engineering, Institute of Transportation Studies, University of California, Irvine, Irvine, California 92697)

Abstract

A hydrogen refueling station siting model that considers scheduling and routing decisions of individual vehicles is presented. By coupling a location strategy of the set covering problem (SCP) and a routing and scheduling strategy of the household activity pattern problem, this problem falls into the category of location routing problems. It introduces a tour-based approach to refueling station siting, with tour-construction capability within the model. There are multiple decision makers in this problem: the public sector as the service provider and the collection of individual households that make their own routing decisions to perform a given set of out-of-home activities together with a visit to a refueling location. A solution method that does not require the full information of the coverage matrix is developed to reduce the computational burden. Compared to the point-based SCP the results indicate that the minimum infrastructure requirement may be overestimated when vehicle (refueling demand)-infrastructure (refueling supply) interactions with daily out-of-home activities are excluded.

Suggested Citation

  • Jee Eun Kang & Will Recker, 2015. "Strategic Hydrogen Refueling Station Locations with Scheduling and Routing Considerations of Individual Vehicles," Transportation Science, INFORMS, vol. 49(4), pages 767-783, November.
    • Handle: RePEc:inm:ortrsc:v:49:y:2015:i:4:p:767-783
    DOI: 10.1287/trsc.2014.0519
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    3. Kelley, Scott & Krafft, Aimee & Kuby, Michael & Lopez, Oscar & Stotts, Rhian & Liu, Jingteng, 2020. "How early hydrogen fuel cell vehicle adopters geographically evaluate a network of refueling stations in California," Journal of Transport Geography, Elsevier, vol. 89(C).
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    7. Dimitrios Rizopoulos & Domokos Esztergár-Kiss, 2023. "Heuristic time-dependent personal scheduling problem with electric vehicles," Transportation, Springer, vol. 50(5), pages 2009-2048, October.

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