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The q-Ad Hoc Hub Location Problem for Multi-modal Networks

Author

Listed:
  • Hyun Kim

    (University of Tennessee)

  • Megan S. Ryerson

    (University of Pennsylvania)

Abstract

This research proposes a spatial optimization problem over a multi-modal transportation network, termed the q-Ad-hoc hub location problem (AHLP), to utilize alternative hubs in an ad-hoc manner in the wake of a hub outage. The model aims to reorganize the spatial structure of disrupted networks: unaffected hubs are utilized as ad-hoc hubs through which alternative routes connect supply and demand nodes. As a case study, the AHLP is applied to a multi-modal freight transport system connecting international destinations with the United States. The models are utilized to establish a new ranking methodology for critical infrastructure by combining metrics capturing nodal criticality and network resilience and recuperability. The results show that the AHLP is both an effective and practical recovery approach for a hub network to respond to the potential disruptions of hubs and a novel methodology for ranking critical infrastructure.

Suggested Citation

  • Hyun Kim & Megan S. Ryerson, 2017. "The q-Ad Hoc Hub Location Problem for Multi-modal Networks," Networks and Spatial Economics, Springer, vol. 17(3), pages 1015-1041, September.
    • Handle: RePEc:kap:netspa:v:17:y:2017:i:3:d:10.1007_s11067-017-9357-y
    DOI: 10.1007/s11067-017-9357-y
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    3. Puntipa Punyim & Ampol Karoonsoontawong & Avinash Unnikrishnan & Chi Xie, 2018. "Tabu Search Heuristic for Joint Location-Inventory Problem with Stochastic Inventory Capacity and Practicality Constraints," Networks and Spatial Economics, Springer, vol. 18(1), pages 51-84, March.

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