Scheduling Inspection and Restoration Action in Postdisaster Critical Lifeline Recovery through Stochastic Optimization with Endogenous Uncertainty
Publication: Natural Hazards Review
Volume 24, Issue 1
Abstract
Hazards pose significant issues for the performance of critical lifelines, and postdisaster performance of roadway networks, in particular, is crucial, as the roadways are key links used in completing infrastructure repairs. The performance of the roadways depends on an ability to quickly assess roadway facility conditions through inspection for which access along the same roadway and bridge system that is under examination is required. Thus, some restoration activities to the roadway elements may need to be completed before inspections of other roadway network elements or elements of other infrastructure lifelines can even begin. The order in which these inspection and restoration activities are taken can greatly affect the time until services from critical lifelines are restored, and the simultaneous consideration of the restoration needs of multiple lifelines given their reliance on the roadway network facilitates faster overall recovery of the communities they serve. A multistage stochastic program with decision-dependent uncertainty is proposed for jointly devising postdisaster inspection and restoration activity schedules to minimize roadway downtime and maximize opportunities for timely completion of repairs to other lifelines over the recovery period. The developed technique is illustrated in an example designed on the roadway and power distribution networks in Arlington, Virginia. Results from the numerical experiments show significant benefits of coordinating actions over multiple lifelines in bringing back services to a community impacted by a disaster event. In fact, coordination led to a greater total number of functioning elements in both roadway and power networks with no reduction in the number of functioning elements from either network over a recovery period. Additionally, a 12% gain in benefits of joint scheduling could be obtained if perfect foresight were possible, showing the potential value of perfect information.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was funded by the Center for Integrated Asset Management for MultiModal Transportation Infrastructure Systems (CIAMTIS). This support is gratefully acknowledged but implies no endorsement of its findings.
References
Adsanver, B., E. Coban, and B. Balcik. 2021. “Drone routing for post-disaster damage assessment.” In Dynamics of disasters: Impact, risk, resilience, and solutions, 1–29. Cham, Switzerland: Springer.
Ajam, M., V. Akbari, and F. S. Salman. 2019. “Minimizing latency in post-disaster road clearance operations.” Eur. J. Oper. Res. 277 (3): 1098–1112.
Ajam, M., V. Akbari, and F. S. Salman. 2022. “Routing multiple work teams to minimize latency in post-disaster road network restoration.” Eur. J. Oper. Res. 300 (1): 237–254. https://doi.org/10.1016/j.ejor.2021.07.048.
Akbari, V., M. E. H. Sadati, and R. Kian. 2021a. “A decomposition-based heuristic for a multicrew coordinated road restoration problem.” Transp. Res. Part D Transp. Environ. 95 (Jun): 102854. https://doi.org/10.1016/j.trd.2021.102854.
Akbari, V., and F. S. Salman. 2014. “A model-based heuristic to the min max K-arc routing for connectivity problem.” In Proc., 4th Student Conf. on Operational Research. Wadern, Germany: Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
Akbari, V., and F. S. Salman. 2017a. “Multi-vehicle prize collecting arc routing for connectivity problem.” Comput. Oper. Res. 82 (Jun): 52–68. https://doi.org/10.1016/j.cor.2017.01.007.
Akbari, V., and F. S. Salman. 2017b. “Multi-vehicle synchronized arc routing problem to restore post-disaster network connectivity.” Eur. J. Oper. Res. 257 (2): 625–640. https://doi.org/10.1016/j.ejor.2016.07.043.
Akbari, V., D. Shiri, and F. S. Salman. 2021b. “An online optimization approach to post-disaster road restoration.” Transp. Res. Part B Methodol. 150 (Aug): 1–25. https://doi.org/10.1016/j.trb.2021.05.017.
Aksu, D. T., and L. Ozdamar. 2014. “A mathematical model for post-disaster road restoration: Enabling accessibility and evacuation.” Transp. Res. Part E Logist. Transp. Rev. 61 (Jan): 56–67. https://doi.org/10.1016/j.tre.2013.10.009.
Alkhaleel, B. A., H. Liao, and K. M. Sullivan. 2022. “Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty.” Eur. J. Oper. Res. 296 (1): 174–202. https://doi.org/10.1016/j.ejor.2021.04.025.
Almoghathawi, Y., K. Barker, and L. A. Albert. 2019. “Resilience-driven restoration model for interdependent infrastructure networks.” Reliab. Eng. Syst. Saf. 185 (May): 12–23. https://doi.org/10.1016/j.ress.2018.12.006.
Apap, R. M., and I. E. Grossmann. 2017. “Models and computational strategies for multistage stochastic programming under endogenous and exogenous uncertainties.” Comput. Chem. Eng. 103 (Aug): 233–274. https://doi.org/10.1016/j.compchemeng.2016.11.011.
Arlington County Board. 2010. Resolution in support of the Radnor heights 230 kV transmission lines to be underground. Arlington, VA: Arlington County Board.
Atsiz, E., B. Balcik, D. Gunnec, and B. U. Sevindik. 2021. “A coordinated repair routing problem for post-disaster recovery of interdependent infrastructure networks.” Ann. Oper. Res. 29 (Jan): 1–31.
Baidya, P. M., and W. Sun. 2017. “Effective restoration strategies of interdependent power system and communication network.” J. Eng. 2017 (13): 1760–1764. https://doi.org/10.1049/joe.2017.0634.
Barkerring, K., D. B. Karakoc, and Y. Almoghathawi. 2018. “Interdependent infrastructure network restoration from a community resilience perspective.” In Safety and reliability–Safe societies in a changing world, 1261–1267. Boca Raton, FL: CRC Press.
Berktaş, N., B. Kara, and O. Karaşan. 2016. “Solution methodologies for debris removal in disaster response.” EURO J. Comput. Optim. 4 (3–4): 403–445. https://doi.org/10.1007/s13675-016-0063-1.
Caunhye, A. M., N. Y. Aydin, and H. S. Duzgun. 2020. “Robust post-disaster route restoration.” OR Spectrum 42 (4): 1055–1087. https://doi.org/10.1007/s00291-020-00601-0.
Caunhye, A. M., X. Nie, and S. Pokharel. 2012. “Optimization models in emergency logistics: A literature review.” Socio-Econ. Plann. Sci. 46 (1): 4–13. https://doi.org/10.1016/j.seps.2011.04.004.
Cavdaroglu, B., E. Hammel, J. E. Mitchell, T. C. Sharkey, and W. A. Wallace. 2013. “Integrating restoration and scheduling decisions for disrupted interdependent infrastructure systems.” Ann. Oper. Res. 203 (1): 279–294. https://doi.org/10.1007/s10479-011-0959-3.
Çelik, M., Ö. Ergun, and P. Keskinocak. 2015. “The post-disaster debris clearance problem under incomplete information.” Oper. Res. 63 (1): 65–85. https://doi.org/10.1287/opre.2014.1342.
Chowdhury, S., O. Shahvari, M. Marufuzzaman, X. Li, and L. Bian. 2021. “Drone routing and optimization for post-disaster inspection.” Comput. Ind. Eng. 159 (Sep): 107495. https://doi.org/10.1016/j.cie.2021.107495.
Ciampa, E., L. D. Vito, and M. R. Pecce. 2019. “Practical issues on the use of drones for construction inspections.” J. Phys. Conf. Ser. 1249 (1): 012016. https://doi.org/10.1088/1742-6596/1249/1/012016.
Duque, P. A. M., I. S. Dolinskaya, and K. Sörensen. 2016. “Network repair crew scheduling and routing for emergency relief distribution problem.” Eur. J. Oper. Res. 248 (1): 272–285. https://doi.org/10.1016/j.ejor.2015.06.026.
Duque, P. M., and K. Sörensen. 2011. “A GRASP metaheuristic to improve accessibility after a disaster.” OR Spectrum 33 (3): 525–542. https://doi.org/10.1007/s00291-011-0247-2.
El-Anwar, O., J. Ye, and W. Orabi. 2016. “Efficient optimization of post-disaster reconstruction of transportation networks.” J. Comput. Civ. Eng. 30 (3): 04015047. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000503.
Fang, Y. P., and G. Sansavini. 2019. “Optimum post-disruption restoration under uncertainty for enhancing critical infrastructure resilience.” Reliab. Eng. Syst. Saf. 185 (May): 1–11. https://doi.org/10.1016/j.ress.2018.12.002.
FHWA. 2013. Emergency relief manual: Federal-aid highways. Washington, DC: Office of Infrastructure in the Office of Program Administration.
Fotouhi, H., S. Moryadee, and E. Miller-Hooks. 2017. “Quantifying the resilience of an urban traffic-electric power coupled system.” Reliab. Eng. Syst. Saf. 163 (Jul): 79–94. https://doi.org/10.1016/j.ress.2017.01.026.
Fu, C., B. Li, F. Ding, F. Lin, and G. Lu. 2021. “Correlation filters for unmanned aerial vehicle-based aerial tracking: A review and experimental evaluation.” IEEE Geosci. Remote Sens. Mag. 10 (1): 126–160. https://doi.org/10.1109/MGRS.2021.3072992.
García-Alviz, J., G. Galindo, J. Arellana, and R. Yie-Pinedo. 2021. “Planning road network restoration and relief distribution under heterogeneous road disruptions.” OR Spectrum 43 (4): 941–981. https://doi.org/10.1007/s00291-021-00644-x.
Ghannad, P., and Y. C. Lee. 2020. “Prioritization of post-disaster reconstruction of transportation network using an integrated AHP and genetic algorithm.” In Construction research congress 2020: Project management and controls, materials, and contracts, 464–474. Reston, VA: ASCE.
Ghannad, P., Y. C. Lee, C. J. Friedland, J. O. Choi, and E. Yang. 2020. “Multiobjective optimization of postdisaster reconstruction processes for ensuring long-term socioeconomic benefits.” J. Manage. Eng. 36 (4): 04020038. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000799.
Goel, V., and J. E. Grossmann. 2006. “A class of stochastic programs with decision dependent uncertainty.” Math. Program. 108 (2): 355–394. https://doi.org/10.1007/s10107-006-0715-7.
Gokalp, C., P. N. Patil, and S. D. Boyles. 2021. “Post-disaster recovery sequencing strategy for road networks.” Transp. Res. Part B Methodol. 153 (Nov): 228–245. https://doi.org/10.1016/j.trb.2021.09.007.
González, A. D., L. Dueñas-Osorio, M. Sánchez-Silva, and A. L. Medaglia. 2016. “The interdependent network design problem for optimal infrastructure system restoration.” Comput.-Aided Civ. Infrastruct. Eng. 31 (5): 334–350. https://doi.org/10.1111/mice.12171.
Ho, H. W., and A. Sumalee. 2014. “Optimal recovery plan after disaster: Continuum modeling approach.” J. Transp. Eng. 140 (8): 04014034. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000668.
Hooshmand Khaligh, F., and S. A. MirHassani. 2016. “A mathematical model for vehicle routing problem under endogenous uncertainty.” Int. J. Prod. Res. 54 (2): 579–590. https://doi.org/10.1080/00207543.2015.1057625.
Iloglu, S., and L. A. Albert. 2020. “A maximal multiple coverage and network restoration problem for disaster recovery.” Oper. Res. Perspect. 7 (Jan): 100132. https://doi.org/10.1016/j.orp.2019.100132.
Jha, M. K., K. Kepaptsoglou, M. Karlaftis, and G. A. K. Karri. 2011. “A bilevel optimization model for large scale highway infrastructure maintenance inspection and scheduling following a seismic event.” In Computational methods in earthquake engineering, 515–526. Dordrecht, Netherlands: Springer.
Kallioras, N. A., and N. D. Lagaros. 2017. “A real-time emergency inspection scheduling tool following a seismic event.” In Computational methods in earthquake engineering, 405–418. Cham, Switzerland: Springer.
Kallioras, N. A., N. D. Lagaros, and M. G. Karlaftis. 2014. “An improved harmony search algorithm for emergency inspection scheduling.” Eng. Optim. 46 (11): 1570–1592. https://doi.org/10.1080/0305215X.2013.854351.
Karagiannis, G. M., S. Chondrogiannis, E. Krausmann, and Z. I. Turksezer. 2017. Power grid recovery after natural hazard impact. Luxembourg: Publications Office.
Karakoc, D. B., Y. Almoghathawi, K. Barker, A. D. González, and S. Mohebbi. 2019. “Community resilience-driven restoration model for interdependent infrastructure networks.” Int. J. Disaster Risk Reduct. 38 (Aug): 101228. https://doi.org/10.1016/j.ijdrr.2019.101228.
Karlaftis, M. G., K. L. Kepaptsoglou, and S. Lambropoulos. 2007. “Fund allocation for transportation network recovery following natural disasters.” J. Urban Plann. Dev. 133 (1): 82–89. https://doi.org/10.1061/(ASCE)0733-9488(2007)133:1(82).
Kasaei, M., and F. S. Salman. 2016. “Arc routing problems to restore connectivity of a road network.” Transp. Res. Part E Logist. Transp. Rev. 95 (Nov): 177–206. https://doi.org/10.1016/j.tre.2016.09.012.
Kaviani, A., R. G. Thompson, A. Rajabifard, and M. Sarvi. 2020. “A model for multi-class road network recovery scheduling of regional road networks.” Transportation 47 (1): 109–143.
Kim, S., Y. Park, K. Lee, and I. Moon. 2017. “Repair crew scheduling considering variable disaster aspects.” In Proc., IFIP Int. Conf. on Advances in Production Management Systems, 57–63. Cham, Switzerland: Springer.
Kim, S., Y. Shin, G. M. Lee, and I. Moon. 2018. “Network repair crew scheduling for short-term disasters.” Appl. Math. Modell. 64 (Dec): 510–523. https://doi.org/10.1016/j.apm.2018.07.047.
Kong, J., C. Zhang, and S. P. Simonovic. 2019. “A two-stage restoration resource allocation model for enhancing the resilience of interdependent infrastructure systems.” Sustainability 11 (19): 5143. https://doi.org/10.3390/su11195143.
Kong, J., C. Zhang, and S. P. Simonovic. 2021. “Optimizing the resilience of interdependent infrastructures to regional natural hazards with combined improvement measures.” Reliab. Eng. Syst. Saf. 210 (Jun): 107538. https://doi.org/10.1016/j.ress.2021.107538.
Lagaros, N. D., and M. G. Karlaftis. 2011. “A critical assessment of metaheuristics for scheduling emergency infrastructure inspections.” Swarm Evol. Comput. 1 (3): 147–163. https://doi.org/10.1016/j.swevo.2011.06.002.
Lertworawanich, P. 2012. “Highway network restoration after the great flood in Thailand.” Nat. Hazard. 64 (1): 873–886. https://doi.org/10.1007/s11069-012-0278-2.
Li, S., and K. L. Teo. 2019. “Post-disaster multi-period road network repair: Work scheduling and relief logistics optimization.” Ann. Oper. Res. 283 (1): 1345–1385. https://doi.org/10.1007/s10479-018-3037-2.
Liu, S. S., M. F. A. Arifin, W. T. Chen, and Y. H. Huang. 2021. “Emergency repair scheduling model for road network integrating rescheduling feature.” Appl. Sci. 11 (4): 1447. https://doi.org/10.3390/app11041447.
Liu, Y., S. McNeil, J. Hackl, and B. T. Adey. 2022. “Prioritizing transportation network recovery using a resilience measure.” Sustainable Resilient Infrastruct. 7 (1): 70–81.
Lorca, Á., M. Çeilk, Ö. Ergun, and P. Keskinocak. 2015. “A decision-support tool for post-disaster debris operations.” Procedia Eng. 107 (Jan): 154–167. https://doi.org/10.1016/j.proeng.2015.06.069.
Lu, G., Y. Xiong, C. Ding, and Y. Wang. 2016. “An optimal schedule for urban road network repair based on the greedy algorithm.” PLoS One 11 (10): 0164780.
Luo, Z., and B. Yang. 2021. “Towards resilient and smart urban road networks: Connectivity restoration via community structure.” Sustainable Cities Soc. 75 (Dec): 103344. https://doi.org/10.1016/j.scs.2021.103344.
Macias, J. E., N. Goldbeck, P. Y. Hsu, P. Angeloudis, and W. Ochieng. 2020. “Endogenous stochastic optimisation for relief distribution assisted with unmanned aerial vehicles.” OR Spectrum 42 (4): 1089–1125. https://doi.org/10.1007/s00291-020-00602-z.
Mao, X., J. Zhou, C. Yuan, and D. Liu. 2021. “Resilience-based optimization of postdisaster restoration strategy for road networks.” J. Adv. Transp. 2021 (Feb): 7303346.
Merschman, E., M. Doustmohammadi, A. M. Salman, and M. Anderson. 2020. “Postdisaster decision framework for bridge repair prioritization to improve road network resilience.” Transp. Res. Rec. 2674 (3): 81–92. https://doi.org/10.1177/0361198120908870.
Mhatre, S., X. Qu, and L. Davis. 2019. “A mixed integer linear programming model for road restoration after a natural disaster.” In Proc., IIE Annual Conf., 396–401. Peachtree Corners, GA: Institute of Industrial and Systems Engineers.
Moghtadernejad, S., B. T. Adey, and J. Hackl. 2020. “Determination of the Post-disaster Optimal Restoration Intervention Programs for Transportation Infrastructure.” In Proc., Joint Int. Resilience Conf.: Interconnected–Resilience Innovations for Sustainable Development Goals, 129–132. Enschede, Netherlands: Univ. of Twente.
Moreno, A., P. Munari, and D. Alem. 2019. “A branch-and-benders-cut algorithm for the crew scheduling and routing problem in road restoration.” Eur. J. Oper. Res. 275 (1): 16–34. https://doi.org/10.1016/j.ejor.2018.11.004.
Morshedlou, N., A. D. González, and K. Barker. 2018. “Work crew routing problem for infrastructure network restoration.” Transp. Res. Part B Methodol. 118 (Dec): 66–89. https://doi.org/10.1016/j.trb.2018.10.001.
Mredul, M. B., M. A. Habib, M. A. H. Akhand, and M. A. S. Kamal. 2021. “Network repair crew scheduling using benders decomposition method: A case study of Dhaka City.” In Proc., 2021 Int. Conf. on Information and Communication Technology for Sustainable Development (ICICT4SD), 291–295. New York: IEEE.
Najafi, J., A. Peiravi, and A. Anvari-Moghaddam. 2020. “Enhancing integrated power and water distribution networks seismic resilience leveraging microgrids.” Sustainability 12 (6): 2167. https://doi.org/10.3390/su12062167.
Nedjati, A., G. Izbirak, B. Vizvari, and J. Arkat. 2016. “Complete coverage path planning for a multi-UAV response system in post-earthquake assessment.” Robotics 5 (4): 26. https://doi.org/10.3390/robotics5040026.
Niyazi, M., and J. Behnamian. 2021. “Dynamic programming for multi-crew scheduling of the emergency repair of network.” J. Syst. Manage. 6 (4): 27–48.
Orabi, W., K. El-Rayes, A. B. Senouci, and H. Al-Derham. 2009. “Optimizing postdisaster reconstruction planning for damaged transportation networks.” J. Constr. Eng. Manage. 135 (10): 1039–1048. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000070.
Oruc, B. E., and B. Y. Kara. 2018. “Post-disaster assessment routing problem.” Transp. Res. Part B Methodol. 116 (Oct): 76–102. https://doi.org/10.1016/j.trb.2018.08.002.
Oruç Ağlar, B. E. 2018. “Post-disaster assessment routing problem.” Doctoral dissertation, Industrial Engineering, Bilkent Univ.
Redi, A. A. N. P., B. M. Sopha, A. M. S. Asih, and R. I. Liperda. 2021. “Collaborative hybrid aerial and ground vehicle routing for post-disaster assessment.” Sustainability 13 (22): 12841. https://doi.org/10.3390/su132212841.
Reyes-Rubiano, L., J. Voegl, K. D. Rest, J. Faulin, and P. Hirsch. 2021. “Exploration of a disrupted road network after a disaster with an online routing algorithm.” OR Spectrum 43 (1): 289–326. https://doi.org/10.1007/s00291-020-00613-w.
Ribeiro, R. G., L. P. Cota, T. A. Euzébio, J. A. Ramírez, and F. G. Guimarães. 2021. “Unmanned-aerial-vehicle routing problem with mobile charging stations for assisting search and rescue missions in postdisaster scenarios.” In IEEE transactions on systems, man, and cybernetics: Systems. New York: IEEE.
Sayarshad, H. R., X. Du, and H. O. Gao. 2020. “Dynamic post-disaster debris clearance problem with re-positioning of clearance equipment items under partially observable information.” Transp. Res. Part B: Methodol. 138 (Aug): 352–372. https://doi.org/10.1016/j.trb.2020.05.011.
Sharkey, T. C., B. Cavdaroglu, H. Nguyen, J. Holman, J. E. Mitchell, and W. A. Wallace. 2015. “Interdependent network restoration: On the value of information-sharing.” Eur. J. Oper. Res. 244 (1): 309–321. https://doi.org/10.1016/j.ejor.2014.12.051.
Shen, S. 2013. “Optimizing designs and operations of a single network or multiple interdependent infrastructures under stochastic arc disruption.” Comput. Oper. Res. 40 (11): 2677–2688. https://doi.org/10.1016/j.cor.2013.05.002.
Singgih, I. K., J. Lee, and B. I. Kim. 2018. “Node and edge surveillance using drones considering required camera altitude and battery charging.” In Proc., IFIP Int. Conf. on Advances in Production Management Systems, 172–180. Cham, Switzerland: Springer.
Somy, S., R. Shafaei, and R. Ramezanian. 2022. “Resilience-based mathematical model to restore disrupted road-bridge transportation networks.” Struct. Infrastruct. Eng. 18 (9): 1334–1349.
Tariverdi, M., H. Fotouhi, S. Moryadee, and E. Miller-Hooks. 2019. “Health care system disaster-resilience optimization given its reliance on interdependent critical lifelines.” J. Infrastruct. Syst. 25 (1): 04018044. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000465.
Ulusan, A. 2019. “Optimizing post-disruption response and recovery operations to improve resilience of critical infrastructure systems.” Doctoral dissertation, Dept. of Mechanical, Industrial Engineering, Northeastern Univ.
Virginia Places. 2022. “Electricity transmission in Virginia.” Accessed January 28, 2022. https://www.virginiaplaces.org/energy/electricitytransmission.html.
Vodák, R., M. Bíl, and Z. Křivánková. 2018. “A modified ant colony optimization algorithm to increase the speed of the road network recovery process after disasters.” Int. J. Disaster Risk Reduct. 31 (Oct): 1092–1106. https://doi.org/10.1016/j.ijdrr.2018.04.004.
Wang, H., Y. P. Fang, and E. Zio. 2021. “Resilience-based optimal post-disruption reconfiguration for traffic-power systems.” Accessed October 6, 2021. https://hal.archives-ouvertes.fr/hal-03366971/document.
Wu, Y., G. Hou, and S. Chen. 2021. “Post-earthquake resilience assessment and long-term restoration prioritization of transportation network.” Reliab. Eng. Syst. Saf. 211 (Jul): 107612. https://doi.org/10.1016/j.ress.2021.107612.
Xu, M., M. Ouyang, Z. Mao, and X. Xu. 2019. “Improving repair sequence scheduling methods for postdisaster critical infrastructure systems.” Comput.-Aided Civ. Infrastruct. Eng. 34 (6): 506–522. https://doi.org/10.1111/mice.12435.
Zhang, C., J. J. Kong, and S. P. Simonovic. 2018. “Restoration resource allocation model for enhancing resilience of interdependent infrastructure systems.” Saf. Sci. 102 (Feb): 169–177. https://doi.org/10.1016/j.ssci.2017.10.014.
Zhang, G., N. Zhu, S. Ma, and J. Xia. 2021. “Humanitarian relief network assessment using collaborative truck-and-drone system.” Transp. Res. Part E Logist. Transp. Rev. 152 (Aug): 102417. https://doi.org/10.1016/j.tre.2021.102417.
Zhang, X., and E. Miller-Hooks. 2015. “Scheduling short-term recovery activities to maximize transportation network resilience.” J. Comput. Civ. Eng. 29 (6): 04014087. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000417.
Zhang, Z., and H. H. Wei. 2021. “Modeling interaction of emergency inspection routing and restoration scheduling for postdisaster resilience of highway–bridge networks.” J. Infrastruct. Syst. 27 (1): 04020046. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000592.
Zhao, J., M. J. Zuo, Z. Cai, and S. Si. 2020. “Post-disaster recovery optimization for road-bridge network considering restoration ability and economic loss.” In Proc., 2020 Annual Reliability and Maintainability Symp., 1–6. New York: IEEE.
Zou, Q., and S. Chen. 2019. “Enhancing resilience of interdependent traffic-electric power system.” Reliab. Eng. Syst. Saf. 191 (Nov): 106557. https://doi.org/10.1016/j.ress.2019.106557.
Zou, Q., and S. Chen. 2021. “Resilience-based recovery scheduling of transportation network in mixed traffic environment: A deep-ensemble-assisted active learning approach.” Reliab. Eng. Syst. Saf. 215 (Nov): 107800. https://doi.org/10.1016/j.ress.2021.107800.
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Natural Hazards Review
Volume 24 • Issue 1 • February 2023
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© 2022 American Society of Civil Engineers.
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Received: Feb 1, 2022
Accepted: Aug 4, 2022
Published online: Oct 8, 2022
Published in print: Feb 1, 2023
Discussion open until: Mar 8, 2023
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