IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v188y2019icp503-514.html
   My bibliography  Save this article

Resilience-based transportation network recovery strategy during emergency recovery phase under uncertainty

Author

Listed:
  • Li, Zhaolong
  • Jin, Chun
  • Hu, Pan
  • Wang, Cong

Abstract

Recovery from major disasters is generally divided into an emergency recovery phase (ERP) and a comprehensive recovery phase (CRP). The ERP has multiple difficulties and limits. This paper investigates the optimization of the transportation network recovery strategy (TNRS) during the ERP under uncertainty. First, two resilience metrics are proposed to measure the recovery rapidity and the cumulative loss of network performance. Second, by applying connectivity as an indicator of transportation network performance, the resilience-based bi-level programming model is established for both deterministic and stochastic cases. The upper level determines which road segments need to be restored and the repair time sequence to maximize the system resilience. The lower level formulates the user response to the upper decision as a User Equilibrium (UE) with a time series. Then, a novel algorithm that integrates a genetic algorithm for the parallel machine scheduling problem (PMSP) and the Frank–Wolfe algorithm for the UE is designed. Finally, the procedure and the effectiveness of the proposed method are demonstrated via a case study.

Suggested Citation

  • Li, Zhaolong & Jin, Chun & Hu, Pan & Wang, Cong, 2019. "Resilience-based transportation network recovery strategy during emergency recovery phase under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 503-514.
    • Handle: RePEc:eee:reensy:v:188:y:2019:i:c:p:503-514
    DOI: 10.1016/j.ress.2019.03.052
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832018309505
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2019.03.052?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shafieezadeh, Abdollah & Ivey Burden, Lindsay, 2014. "Scenario-based resilience assessment framework for critical infrastructure systems: Case study for seismic resilience of seaports," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 207-219.
    2. Janić, Milan, 2015. "Reprint of “Modelling the resilience, friability and costs of an air transport network affected by a large-scale disruptive event”," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 77-92.
    3. Nogal, Maria & O'Connor, Alan & Caulfield, Brian & Martinez-Pastor, Beatriz, 2016. "Resilience of traffic networks: From perturbation to recovery via a dynamic restricted equilibrium model," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 84-96.
    4. Cheng, T. C. E. & Sin, C. C. S., 1990. "A state-of-the-art review of parallel-machine scheduling research," European Journal of Operational Research, Elsevier, vol. 47(3), pages 271-292, August.
    5. Hiba Baroud & Jose E. Ramirez‐Marquez & Kash Barker & Claudio M. Rocco, 2014. "Stochastic Measures of Network Resilience: Applications to Waterway Commodity Flows," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1317-1335, July.
    6. Yodo, Nita & Wang, Pingfeng, 2018. "A control-guided failure restoration framework for the design of resilient engineering systems," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 179-190.
    7. Fotouhi, Hossein & Moryadee, Seksun & Miller-Hooks, Elise, 2017. "Quantifying the resilience of an urban traffic-electric power coupled system," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 79-94.
    8. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    9. Pant, Raghav & Barker, Kash & Zobel, Christopher W., 2014. "Static and dynamic metrics of economic resilience for interdependent infrastructure and industry sectors," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 92-102.
    10. Barker, Kash & Ramirez-Marquez, Jose Emmanuel & Rocco, Claudio M., 2013. "Resilience-based network component importance measures," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 89-97.
    11. Zhang, X. & Miller-Hooks, E. & Denny, K., 2015. "Assessing the role of network topology in transportation network resilience," Journal of Transport Geography, Elsevier, vol. 46(C), pages 35-45.
    12. Adjetey-Bahun, Kpotissan & Birregah, Babiga & Châtelet, Eric & Planchet, Jean-Luc, 2016. "A model to quantify the resilience of mass railway transportation systems," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 1-14.
    13. Lichun Chen & Elise Miller-Hooks, 2012. "Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport," Transportation Science, INFORMS, vol. 46(1), pages 109-123, February.
    14. Faturechi, Reza & Miller-Hooks, Elise, 2014. "Travel time resilience of roadway networks under disaster," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 47-64.
    15. Vallada, Eva & Ruiz, Rubén, 2011. "A genetic algorithm for the unrelated parallel machine scheduling problem with sequence dependent setup times," European Journal of Operational Research, Elsevier, vol. 211(3), pages 612-622, June.
    16. Yacov Y. Haimes & Kenneth Crowther & Barry M. Horowitz, 2008. "Homeland security preparedness: Balancing protection with resilience in emergent systems," Systems Engineering, John Wiley & Sons, vol. 11(4), pages 287-308, December.
    17. Baroud, Hiba & Barker, Kash & Ramirez-Marquez, Jose E. & Rocco S., Claudio M., 2014. "Importance measures for inland waterway network resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 55-67.
    18. Reggiani, Aura, 2013. "Network resilience for transport security: Some methodological considerations," Transport Policy, Elsevier, vol. 28(C), pages 63-68.
    19. Zhang, Xiaoge & Mahadevan, Sankaran & Sankararaman, Shankar & Goebel, Kai, 2018. "Resilience-based network design under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 364-379.
    20. Cox, Andrew & Prager, Fynnwin & Rose, Adam, 2011. "Transportation security and the role of resilience: A foundation for operational metrics," Transport Policy, Elsevier, vol. 18(2), pages 307-317, March.
    21. Janić, Milan, 2015. "Modelling the resilience, friability and costs of an air transport network affected by a large-scale disruptive event," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 1-16.
    22. Jiuping Xu & Yi Lu, 2012. "Meta-synthesis pattern of post-disaster recovery and reconstruction: based on actual investigation on 2008 Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(2), pages 199-222, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gonçalves, L.A.P.J. & Ribeiro, P.J.G., 2020. "Resilience of urban transportation systems. Concept, characteristics, and methods," Journal of Transport Geography, Elsevier, vol. 85(C).
    2. Adel Mottahedi & Farhang Sereshki & Mohammad Ataei & Ali Nouri Qarahasanlou & Abbas Barabadi, 2021. "The Resilience of Critical Infrastructure Systems: A Systematic Literature Review," Energies, MDPI, vol. 14(6), pages 1-32, March.
    3. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    4. Pan, Xing & Dang, Yuheng & Wang, Huixiong & Hong, Dongpao & Li, Yuehong & Deng, Hongxu, 2022. "Resilience model and recovery strategy of transportation network based on travel OD-grid analysis," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    5. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    6. Pan, Shouzheng & Yan, Hai & He, Jia & He, Zhengbing, 2021. "Vulnerability and resilience of transportation systems: A recent literature review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    7. Cheng, Yao & Elsayed, E.A. & Chen, Xi, 2021. "Random Multi Hazard Resilience Modeling of Engineered Systems and Critical Infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    8. Trucco, Paolo & Petrenj, Boris, 2023. "Characterisation of resilience metrics in full-scale applications to interdependent infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    9. Milan Janić, 2018. "Modelling the resilience of rail passenger transport networks affected by large-scale disruptive events: the case of HSR (high speed rail)," Transportation, Springer, vol. 45(4), pages 1101-1137, July.
    10. Haritha, P.C. & Anjaneyulu, M.V.L.R., 2024. "Comparison of topological functionality-based resilience metrics using link criticality," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    11. Chiou, Suh-Wen, 2018. "A traffic-responsive signal control to enhance road network resilience with hazmat transportation in multiple periods," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 105-118.
    12. Zhang, Xiaoge & Mahadevan, Sankaran & Sankararaman, Shankar & Goebel, Kai, 2018. "Resilience-based network design under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 364-379.
    13. Wang, Nanxi & Yuen, Kum Fai, 2022. "Resilience assessment of waterway transportation systems: Combining system performance and recovery cost," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    14. Zou, Qiling & Chen, Suren, 2019. "Enhancing resilience of interdependent traffic-electric power system," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    15. Xiaoge Zhang & Sankaran Mahadevan & Kai Goebel, 2019. "Network Reconfiguration for Increasing Transportation System Resilience Under Extreme Events," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 2054-2075, September.
    16. Xu, Peng-Cheng & Lu, Qing-Chang & Xie, Chi & Cheong, Taesu, 2024. "Modeling the resilience of interdependent networks: The role of function dependency in metro and bus systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    17. MacKenzie, Cameron A. & Hu, Chao, 2019. "Decision making under uncertainty for design of resilient engineered systems," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    18. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    19. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    20. Hossain, Niamat Ullah Ibne & Nur, Farjana & Hosseini, Seyedmohsen & Jaradat, Raed & Marufuzzaman, Mohammad & Puryear, Stephen M., 2019. "A Bayesian network based approach for modeling and assessing resilience: A case study of a full service deep water port," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 378-396.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:188:y:2019:i:c:p:503-514. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.