Increasing the resilience level of a vulnerable rail network: The strategy of location and allocation of emergency relief trains
Mostafa Bababeik,
Navid Khademi and
Anthony Chen
Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 119, issue C, 110-128
Abstract:
This paper examines the optimal location and allocation of relief trains (RTs) to enhance the resilience level of the rail network. Unlike probabilistic approaches, the priority of demand is handled by link exposure measure which considers the operational attributes of links and accessibility to road system. We formulate the proposed model using a bi-objective programming and solve it using an augmented e-constraint method (AUGMECON) combined with a fuzzy-logic approach. The proposed framework is employed to a real-world case study, and analytical results reveal the superiority of the proposed model in providing an economical and effective layout compared to conventional maximal covering model.
Keywords: Resilience; Vulnerability; Relief trains; Cooperative coverage; Railway systems; Location and allocation model (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (17)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:119:y:2018:i:c:p:110-128
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DOI: 10.1016/j.tre.2018.09.009
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