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Critical infrastructure location under supporting station dependencies considerations

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  • Jamar Kattel, Prakash
  • Aros-Vera, Felipe

Abstract

This paper develops a framework to locate critical infrastructure (CI) facilities to most fully capitalize on the supporting stations (SSs) they depend on for normal operation. CI facilities include health services, transportation and electricity; agencies that impact the national economy, security and the public's health and wellbeing. SSs are facilities that provide essential services for the regular operation of a CI. For instance, the power service, communication services and water supply services are SSs for Hospitals. In this paper SSs are independent from the CIs that they service and have a heterogeneous probability of failure that will cripple the dependent CI. The proposed framework ranks the SS according to its cost of providing service such that the rank-1 SS is the primary service provider and incorporates the probability of failure for the SS. The CI will be served from secondary SS if the primary fails due to a disaster. This formulation insures the continuous service to the CI from SS and determines both the optimal location of the CI and the optimal number of demands served. A mixed integer linear programming approach is applied to develop a Reliable Facility Location Problem considering Supporting Stations (RFLP-SS) to identify the optimal location to build a critical facility. In addition to that, The RFLP-SS determines the capacity of the optimally located facility and its allocated demands. This research highlights the importance of considering dependencies among the SSs that service CI. The paper presents a case study in Puerto Rico to demonstrate the applicability of the proposed framework. The case study investigates the status of health services in Puerto Rico, and identifies the optimal locations to establish new hospitals. The paper recommends 11 locations for new hospitals so that the people of Puerto Rico will be better served than they are currently.

Suggested Citation

  • Jamar Kattel, Prakash & Aros-Vera, Felipe, 2020. "Critical infrastructure location under supporting station dependencies considerations," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:soceps:v:70:y:2020:i:c:s0038012119300953
    DOI: 10.1016/j.seps.2019.07.002
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    References listed on IDEAS

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    1. Tingting Cui & Yanfeng Ouyang & Zuo-Jun Max Shen, 2010. "Reliable Facility Location Design Under the Risk of Disruptions," Operations Research, INFORMS, vol. 58(4-part-1), pages 998-1011, August.
    2. Li, Xiaopeng & Ouyang, Yanfeng & Peng, Fan, 2013. "A supporting station model for reliable infrastructure location design under interdependent disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 80-93.
    3. Li, Xiaopeng & Medal, Hugh & Qu, Xiaobo, 2019. "Connected infrastructure location design under additive service utilities," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 99-124.
    4. Lawrence V. Snyder & Mark S. Daskin, 2005. "Reliability Models for Facility Location: The Expected Failure Cost Case," Transportation Science, INFORMS, vol. 39(3), pages 400-416, August.
    5. Oded Berman & Dmitry Krass & Mozart B. C. Menezes, 2007. "Facility Reliability Issues in Network p -Median Problems: Strategic Centralization and Co-Location Effects," Operations Research, INFORMS, vol. 55(2), pages 332-350, April.
    6. Mengshi Lu & Lun Ran & Zuo-Jun Max Shen, 2015. "Reliable Facility Location Design Under Uncertain Correlated Disruptions," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 445-455, October.
    7. Sharkey, Thomas C. & Cavdaroglu, Burak & Nguyen, Huy & Holman, Jonathan & Mitchell, John E. & Wallace, William A., 2015. "Interdependent network restoration: On the value of information-sharing," European Journal of Operational Research, Elsevier, vol. 244(1), pages 309-321.
    8. Mozart Menezes & O. Berman & D. Krass, 2007. "Facility Reliability Issues in Network p-Median Problems: Strategic Centralization and Co-location Effects," Post-Print halshs-00170396, HAL.
    9. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    10. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    11. Cui, Tingting & Ouyang, Yanfeng & Shen, Zuo-Jun Max J, 2010. "Reliable Facility Location Design under the Risk of Disruptions," University of California Transportation Center, Working Papers qt5sh2c7pw, University of California Transportation Center.
    12. He, Xian & Cha, Eun Jeong, 2018. "Modeling the damage and recovery of interdependent critical infrastructure systems from natural hazards," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 162-175.
    13. Zhao, Zhuang & Zhang, Peng & Yang, Hujiang, 2015. "Cascading failures in interconnected networks with dynamical redistribution of loads," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 204-210.
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    Cited by:

    1. Eren Atsiz & Burcu Balcik & Dilek Gunnec & Busra Uydasoglu Sevindik, 2022. "A coordinated repair routing problem for post-disaster recovery of interdependent infrastructure networks," Annals of Operations Research, Springer, vol. 319(1), pages 41-71, December.
    2. Karakoc, Deniz Berfin & Barker, Kash & González, Andrés D., 2023. "Analyzing the tradeoff between vulnerability and recoverability investments for interdependent infrastructure networks," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

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