Abstract
Despite the increasing simulation methods used by the research of transportation infrastructure resilience in the past decade, a comprehensive review of these simulation methods is lacking. Thus, this paper conducted an in-depth review of the major simulation methods adopted by the existing transportation infrastructure resilience literature, which are Monte Carlo simulation, network-based simulation, numerical simulation, and agent-based modeling and simulation. The four simulation methods were reviewed from three perspectives, namely purposes of simulation, data demands, and modeling approaches. Finally, based on the review results, this paper proposed three directions for that the research may go towards in the future. This paper contributes to the current body of knowledge by reviewing the simulation methods adopted by the research of transportation infrastructure resilience. This paper is useful to the practice as well, as it provides practitioners with a holistic view of the practical application of transportation infrastructure resilience simulation, which can enhance their knowledge and skills in this regard.
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References
Adams TM, Bekkem KR, Toledo-Duran EJ (2012) Freight Resilience Measures. J Transp Eng 138:1403–1409
Adjetey-Bahun K, Birregah B, Chatelet E, Planchet JL (2016) A model to quantify the resilience of mass railway transportation systems. Reliab Eng Syst Saf 153:1–14
Afram A, Janabi-Sharifi F (2014) Review of modeling methods for HVAC systems. Appl Therm Eng 67:507–519
Aleksic A, Stefanovic M, Tadic D, Arsovski S (2014) A fuzzy model for assessment of organization vulnerability. Meas. 51:214–223
Alipour A, Shafei B (2016) Assessment of Postearthquake Losses in a Network of Aging Bridges. J Infrastruct Syst 22:12
An D, Kim NH, Choi J-H (2015) Practical options for selecting data-driven or physics-based prognostics algorithms with reviews. Reliab Eng Syst Saf 133:223–236
Antoniou C, Barcelo J, Brackstone M, Celikoglu H, Ciuffo B, Punzo V, Sykes P, Toledo T, Vortisch P, Wagner P (2014). Traffic Simulation: Case for guidelines. JRC Scientific and Technical Research Report. Publications Office of the European Union, Luxembourg. ISBN 978-92-79-35578-3
Argyroudis SA, Mitoulis SA, Hofer L, Zanini MA, Tubaldi E, Frangopol DM (2020) Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets. Sci Total Environ 714:136854
Aydin NY, Duzgun HS, Heinimann HR, Wenzel F, Gnyawali KR (2018a) Framework for improving the resilience and recovery of transportation networks under geohazard risks. Int. J Disaster Risk Reduct. 31:832–843
Aydin NY, Duzgun HS, Wenzel F, Heinimann HR (2018b) Integration of stress testing with graph theory to assess the resilience of urban road networks under seismic hazards. Nat Hazards 91:37–68
Ayyub BM (2020) Infrastructure resilience and sustainability: Definitions and relationships. ASCE-ASME J Risk Uncertain Eng. Syst. Part a Civ Eng 6:02520001
Barceló J (Ed.) (2010) Fundamentals of traffic simulation. New York: Springer, vol. 145, p. 439
Baroud H, Barker K, Ramirez-Marquez JE, Rocco SCM (2014) Importance measures for inland waterway network resilience. Transport Res E-Log 62:55–67
Batouli M, Mostafavi A (2018) Multiagent Simulation for Complex Adaptive Modeling of Road Infrastructure Resilience to Sea-Level Rise. Comput. Aided Civ. Infrastruct. Eng. 33:393–410
Beheshtian A, Donaghy KP, Gao HO, Safaie S, Geddes R (2018a) Impacts and implications of climatic extremes for resilience planning of transportation energy: A case study of New York city. J Clean Prod 174:1299–1313
Beheshtian A, Donaghy KP, Geddes RR, Gao HO (2018b) Climate-adaptive planning for the long-term resilience of transportation energy infrastructure. Transport Res E-Log 113:99–122
Bernhardt KLS, McNeil S (2008) Agent-Based Modeling: Approach for Improving Infrastructure Management. J Infrastruct Syst 14:253–261
Besinovic N (2020) Resilience in railway transport systems: a literature review and research agenda. Transp Rev 40:457–478
Bhatia U, Kumar D, Kodra E, Ganguly AR (2015) Network Science Based Quantification of Resilience Demonstrated on the Indian Railways Network. PLoS ONE 10:17
Blok AN, Sharpanskykh A, Vert M (2018) Formal and computational modeling of anticipation mechanisms of resilience in the complex sociotechnical air transport system. Complex Adaptive Systems Modeling 6(1):1–30
Bocchini P, Frangopol DM, Ummenhofer T, Zinke T (2014) Resilience and sustainability of civil infrastructure: Toward a unified approach. J Infrastructure Systems 20(2):04014004
Bohlin TP (2006) Practical grey-box process identification: theory and applications. Springer Science & Business Media
Bonabeau E (2002) Agent-based modeling: Methods and techniques for simulating human systems. Proc Natl Acad Sci 99:7280–7287
Bucar RC, Hayeri YM (2020) Quantitative assessment of the impacts of disruptive precipitation on surface transportation. Reliability Engineering & System Safety 203:107105
Burghout W, Koutsopoulos HN, Andreasson I (2005) Hybrid mesoscopic–microscopic traffic simulation. Transp Res Rec 1934:218–225
Carvalho H, Barroso AP, Machado VH, Azevedo S, Cruz-Machado V (2012) Supply chain redesign for resilience using simulation. Comput Ind Eng 62:329–341
Chang L, Peng F, Ouyang YF, Elnashai AS, Spencer BF (2012) Bridge Seismic Retrofit Program Planning to Maximize Postearthquake Transportation Network Capacity. J Infrastruct Syst 18:75–88
Chen LC, Miller-Hooks E (2012) Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport. Transp Sci 46:109–123
Chopra SS, Dillon T, Bilec MM, Khanna V (2016) A network-based framework for assessing infrastructure resilience: a case study of the London metro system. J R Soc Interface 13(118):20160113
Comes T, Warnier M, Feil W, Walle BVD (2020) Critical Airport Infrastructure Disaster Resilience: A Framework and Simulation Model for Rapid Adaptation. J Manag Eng 36:04020059
Cox A, Prager F, Rose A (2011) Transportation security and the role of resilience: A foundation for operational metrics. Transp Policy 18:307–317
Dent RJ, Cameron RJS (2003) Developing resilience in children who are in public care: The educational psychology perspective. Educ Psychol Pract 19:3–19
Derrible S, Kennedy C (2010) The complexity and robustness of metro networks. Physica a-Stat. Mech. Appl 389:3678–3691
Diab E, Shalaby A (2020) Metro transit system resilience: Understanding the impacts of outdoor tracks and weather conditions on metro system interruptions. Int J Sustain Transp 14:657–670
Duke RD (1980) A paradigm for game design. Simul. Games 11:364–377
Duke RD, Geurts JLA (2004) Policy games for strategic management: pathways into the unknown. Dutch University Press, Amsterdam
Dunn TP, Sussman J (2011) Simulation of impact of strategy development frameworks on performance of transportation infrastructure. Transp Res Rec 2255(1):165–176
Eusgeld I, Henzi D, Kröger W (2008) Comparative evaluation of modeling and simulation techniques for interdependent critical infrastructures. Scientific Report, Laboratory for Safety Analysis, ETH Zurich 6–8
Faturechi R, Miller-Hooks E (2014) Travel time resilience of roadway networks under disaster. Transp. Res. B Methodol. 70:47–64
Feynman RP, Leighton RB, Sands M (2011) The Feynman lectures on physics, Vol. I: The new millennium edition: mainly mechanics, radiation, and heat (Vol. 1). Basic books
Fiorillo G, Ghosn M (2018) MPI Parallel Monte Carlo Framework for the Reliability Analysis of Highway Bridges. J Comput Civ Eng 32:14
Freckleton D, Heaslip K, Louisell W, Collura J (2012) Evaluation of resiliency of transportation networks after disasters. Transp Res Rec 2284(1):109–116
Fritzsche HT (1994) A model for traffic simulation. Traffic Eng. Control 35:317–21
Galbusera L, Giannopoulos G, Argyroudis S, Kakderi K (2018) A Boolean Networks Approach to Modeling and Resilience Analysis of Interdependent Critical Infrastructures. Comput. Aided Civ. Infrastruct. Eng. 33:1041–1055
Ghosn M, Duenas-Osorio L, Frangopol DM, McAllister TP, Bocchini P, Manuel L, Ellingwood BR, Arangio S, Bontempi F, Shah M, Akiyama M, Biondini F, Hernandez S, Tsiatas G (2016) Performance Indicators for Structural Systems and Infrastructure Networks. J Struct Eng 142:18
Giachetti B, Couton D, Plourde F (2016) Smoke spreading analysis from an experimental subway scale model. Fire Saf J 86:75–82
Gonçalves LAPJ, Ribeiro PJG (2020) Resilience of urban transportation systems. Concept, characteristics, and methods. J Transp Geogr 85:102727
Grandjean M (2015) Gephi: Introduction to Network Analysis and Visualization. Available online: http://www.martingrandjean.ch/gephi-introduction/. Accessed 15 Dec 2021
Greenberg M, Lioy P, Ozbas B, Mantell N, Isukapalli S, Lahr M, Altiok T, Bober J, Lacy C, Lowrie K, Mayer H, Rovito J (2013) Passenger Rail Security, Planning, and Resilience: Application of Network, Plume, and Economic Simulation Models as Decision Support Tools. Risk Anal 33:1969–1986
Greenberg M, Lowrie K, Altiok T, Lahr M, Lioy P, Mayer H (2011) Improving resilience in rail transit corridors developing models for estimating the impacts of system disruptions. TR News (275):29–30
Griot C (2010) Modelling and simulation for critical infrastructure interdependency assessment: a meta-review for model characterisation. Int J Crit Infrastruct 6:363–379
Guo Q, Amin S, Hao Q, Haas O (2020) Resilience assessment of safety system at subway construction sites applying analytic network process and extension cloud models. Reliability Eng Syst Saf 201:106956
Gustafsson L, Sternad M (2010) Consistent micro, macro and state-based population modelling. Math Biosci 225:94–107
Haimes YY (2008) Models for risk management of systems of systems. Int. J Syst. Syst. Eng. 1:222–236
Handbook-Fundamentals ASHRAE (2009) American society of heating. Refrigerating and Air-Conditioning Engineers
Henry D, Ramirez-Marquez JE (2012) Generic metrics and quantitative approaches for system resilience as a function of time. Reliab Eng Syst Saf 99:114–122
Heywood P, Maddock S, Casas J, Garcia D, Brackstone M, Richmond P (2018) Data-parallel agent-based microscopic road network simulation using graphics processing units. Simul Model Pract Theory 83:188–200
Holling CS (1973) Resilience and Stability of Ecological Systems. Annu Rev Ecol Syst 4:1–23
Hollnagel E, Woods DD, Leveson N (Eds.) (2006) Resilience engineering: Concepts and precepts. Ashgate Publishing, Ltd
Hong L, Ouyang M, Peeta S, He XZ, Yan YZ (2015) Vulnerability assessment and mitigation for the Chinese railway system under floods. Reliab Eng Syst Saf 137:58–68
Hossain MF (2018) Sustainable design and build. In Monograph (468 p) Elsevier. ISBN: 9780128167229-Heinemann
Hosseini S, Barker K, Ramirez-Marquez JE (2016) A review of definitions and measures of system resilience. Reliab Eng Syst Saf 145:47–61
Hou GY, Chen SR, Han Y (2019) Traffic Performance Assessment Methodology of Degraded Roadway Links Following Hazards. J Aerosp Eng 32:12
Hughes JF, Healy K (2014) Measuring the resilience of transport infrastructure. New Zealand transport agency research report 546. Wellington: New Zealand Transport Agency
Imran M, Cheyne C, Harold J (2014) Measuring transport resilience: a Manawatu-Wanganui region case study. Available online: http://hdl.handle.net/10179/5725. Accessed 15 Dec 2021
Ingalls RG (2011) Introduction to simulation. Proceedings of the 2011 Winter Simulation Conference (WSC), IEEE, 1374–1388.
Ip WH, Wang D (2011) Resilience and Friability of Transportation Networks: Evaluation, Analysis and Optimization. IEEE Syst J 5:189–198
Janic M (2018) Modelling the resilience of rail passenger transport networks affected by large-scale disruptive events: the case of HSR (high speed rail). Transp. 45:1101–1137
Jin JG, Tang LC, Sun L, Lee D-H (2014) Enhancing metro network resilience via localized integration with bus services. Transport Res E-Log 63:17–30
Kakadiaris IA (1993) Physics-based modeling, analysis and animation. Technical Reports (CIS) p. 274
Karamlou A, Bocchini P (2015) Computation of bridge seismic fragility by large-scale simulation for probabilistic resilience analysis. Earthquake Eng Struct Dynam 44:1959–1978
Khaled AA, Jin M, Clarke DB, Hogue MA (2015) Train design and routing optimization for evaluating criticality of freight railroad infrastructures. Transport Res B Methodol 71:71–84
Kim S, Tak S, Yeo H (2018) Agent-based network transmission model using the properties of macroscopic fundamental diagram. Transportation Research Part c: Emerging Technologies 93:79–101
Kollikkathara N, Feng H, Yu D (2010) A system dynamic modeling approach for evaluating municipal solid waste generation, landfill capacity and related cost management issues. Waste Manage 30:2194–2203
Krausmann E, Cruz AM (2013) Impact of the 11 March 2011, Great East Japan earthquake and tsunami on the chemical industry. Nat Hazards 67:811–828
Kua HW (2017) On Life Cycle Sustainability Unified Analysis. J Ind Ecol 21:1488–1506
Kurapati S, Lukosch H, Verbraeck A, Brazier FMT (2015) Improving resilience in intermodal transport operations in seaports: a gaming approach. Euro Journal on Decision Processes 3:375–396
Kypuros J (2013) System dynamics and control with bond graph modeling, CRC Press
Lehtonen M (2014) Evaluating megaprojects: From the “iron triangle” to network mapping. Eval. 20:278–295
Li M, Wang H, Wang H (2019) Resilience assessment and optimization for urban rail transit networks: A case study of beijing subway network. IEEE Access 7:71221–71234
Liao T-Y, Hu T-Y, Ko Y-N (2018) A resilience optimization model for transportation networks under disasters. Nat Hazards 93:469–489
Lv X, Morshed S, Zhang L (2019) Automatic key-phrase extraction to support the understanding of infrastructure disaster resilience. In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction. IAARC Publications vol. 36:1276–1281
MacDougall MH (1987) Simulating computer systems: Techniques and tools. MIT Press
Maliene V, Grigonis V, Palevicius V, Griffiths S (2011) Geographic information system: Old principles with new capabilities. Urban Des. Int. 16:1–6
Mallakpour I, Sadegh M, AghaKouchak A (2020) Changes in the exposure of California’s levee-protected critical infrastructure to flooding hazard in a warming climate. Environ Res Lett 15(6):064032
Marchese D, Reynolds E, Bates ME, Morgan H, Clark SS, Linkov I (2018) Resilience and sustainability: Similarities and differences in environmental management applications. Sci Total Environ 613:1275–1283
Markolf SA, Hoehne C, Fraser A, Chester MV, Underwood BS (2019) Transportation resilience to climate change and extreme weather events - Beyond risk and robustness. Transp Policy 74:174–186
Marshall CJ, Roberts B, Grenn MW, Holzer TH (2020) Context-based automation of critical infrastructure systems for efficiency, stakeholder equity, and resilience. Syst Eng 23:617–632
Mechoso CR, Arakawa A (2015) NUMERICAL MODELS|General Circulation Models. Encyclopedia of Atmospheric Sciences. Elsevier p. 153–160
Meesit R, Andrews J (2021) Ranking the critical sections of railway networks. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 235(3):361–376
Meng N, Hu L, Wu L, Yang L, Zhu S, Chen L, Tang W (2014) Numerical study on the optimization of smoke ventilation mode at the conjunction area between tunnel track and platform in emergency of a train fire at subway station. Tunn Undergr Space Technol 40:151–159
Miller-Hooks E, Zhang X, Faturechi R (2012) Measuring and maximizing resilience of freight transportation networks. Comput Oper Res 39:1633–1643
Mohebbi S, Zhang Q, Wells EC, Zhao T, Nguyen H, Li M, Abdel-Mottaleb N, Uddin S, Lu Q, Wakhungu MJ, Wu Z, Zhang Y, Tuladhar A, Ou X (2020) Cyber-physical-social interdependencies and organizational resilience: A review of water, transportation, and cyber infrastructure systems and processes. Sustainable Cities and Society 62:102327
Mojtahedi M, Newton S, von Meding J (2017) Predicting the resilience of transport infrastructure to a natural disaster using Cox’s proportional hazards regression model. Nat Hazards 85:1119–1133
Mooney CZ (1997) Monte Carlo simulation. Thousands Oaks: Sage
Morshed SA, Arafat M, Mokhtarimousavi S, Khan SS, Amine K (2021) 8R Resilience Model: A stakeholder-centered approach of disaster resilience for transportation infrastructure and network. Transportation Engineering 4:100058
Mosley M, Brackett M, Earley S, Henderson D (2009) The DAMA guide to data management body of knowledge (DAMA-DMBOK guide). Technics publications, USA
Naess A, Leira BJ, Batsevychc O (2009) System reliability analysis by enhanced Monte Carlo simulation. Struct Saf 31:349–355
Nogal M, O’Connor A, Martinez-Pastor B, Caulfield B (2017) Novel probabilistic resilience assessment framework of transportation networks against extreme weather events. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 3(3):04017004
Omer M, Mostashari A, Nilchiani R (2013) Assessing resilience in a regional road-based transportation network. Int J Ind Syst Eng 13:389–408
Ouyang M (2014) Review on modeling and simulation of interdependent critical infrastructure systems. Reliab Eng Syst Saf 121:43–60
Pant R, Barker K, Ramirez-Marquez JE, Rocco CM (2014) Stochastic measures of resilience and their application to container terminals. Comput Ind Eng 70:183–194
Porse E, Lund J (2015) Network structure, complexity, and adaptation in water resource systems. Civ Eng Environ Syst 32:143–156
Pregnolato M, Ford A, Glenis V, Wilkinson S, Dawson R (2017) Impact of climate change on disruption to urban transport networks from pluvial flooding. J Infrastructure Systems 23(4):04017015
Raychaudhuri S (2008) Introduction to monte carlo simulation. In 2008 Winter simulation conference. IEEE. pp. 91–100
Redman CL (2014) Should sustainability and resilience be combined or remain distinct pursuits?. Ecol Soc 19(2)
Reggiani A, Nijkamp P, Lanzi D (2015) Transport resilience and vulnerability: The role of connectivity. Transp. Res. A Policy Pract. 81:4–15
Renne J, Wolshon B, Murray-Tuite P, Pande A (2020) Emergence of resilience as a framework for state Departments of Transportation (DOTs) in the United States. Transp. Res. D Transp Environ. 82:11
Reynolds CW (1987) Flocks, herds and schools: A distributed behavioral model. Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques p. 25–34
Righi AW, Saurin TA, Wachs P (2015) A systematic literature review of resilience engineering: Research areas and a research agenda proposal. Reliab Eng Syst Saf 141:142–152
Rose A (2007) Economic resilience to natural and man-made disasters: Multidisciplinary origins and contextual dimensions. Environ Hazards 7:383–398
Rose A, Liao SY (2005) Modeling regional economic resilience to disasters: A computable general equilibrium analysis of water service disruptions. J Reg Sci 45:75–112
Satumtira G, Dueñas-Osorio L (2010) Synthesis of modeling and simulation methods on critical infrastructure interdependencies research. Springer, Sustainable and resilient critical infrastructure systems
Siraj S, Gupta A, Badgujar R (2012) Network simulation tools survey. International Journal of Advanced Research in Computer and Communication Engineering 1:199–206
Souza FD, Verbas O, Auld J (2019) Mesoscopic Traffic Flow Model for Agent-Based Simulation. Procedia Comput. Science 151:858–863
Stoner AMK, Hayhoe K, Wuebbles DJ (2009) Assessing general circulation model simulations of atmospheric teleconnection patterns. J Clim 22:4348–4372
Sun W, Bocchini P, Davison BD (2020) Resilience metrics and measurement methods for transportation infrastructure: the state of the art. Sustain. Resilient Infrastructure 5:168–199
Tamvakis P, Xenidis Y (2012) Resilience in Transportation Systems. Procedia Soc Behav Sci 48:3441–3450
Tang CA, Zhu J, Qi X (2011) Landslide hazard assessment of the 2008 Wenchuan earthquake: a case study in Beichuan area. Can Geotech J 48:128–145
Tofiq FA, Guven A (2014) Prediction of design flood discharge by statistical downscaling and General Circulation Models. J Hydrol 517:1145–1153
Tonn G, Czajkowski J, Kunreuther H, Angotti K, Gelman K (2020) Measuring transportation infrastructure resilience: Case study with Amtrak. J Infrastruct Syst 26:05020001
Global Optimization Toolbox—MATLAB (1993) Available online: https://it.mathworks.com/products/globaloptimization.html. Accessed 15 Dec 2021
Twumasi-Boakye R, Sobanjo JO (2018) Resilience of regional transportation networks subjected to hazardinduced bridge damages. Journal of Transportation Engineering, Part A: Systems 144(10):04018062
Twumasi-Boakye R, Sobanjo J (2019) Civil infrastructure resilience: state-of-the-art on transportation network systems. Transportmetrica a-Transport Science 15:455–484
Van Os M (2012) Using gaming as a data collection tool to design rules for agents in agent-based models. Delft University of Technology
Van Rossum G, Drake Jr FL (1995) Python tutorial. Amsterdam: Centrum voor Wiskunde en Informatica. vol. 620.
Visual C (1995) Microsoft Visual C++. Microsoft Corporation
Wan CP, Yang ZL, Zhang D, Yan XP, Fan SQ (2018) Resilience in transportation systems: a systematic review and future directions. Transp Rev 38:479–498
Wang J, Zuo W, Rhode-Barbarigos L, Lu X, Wang J, Lin Y (2019) Literature review on modeling and simulation of energy infrastructures from a resilience perspective. Reliab Eng Syst Saf 183:360–373
Wang HW, Peng ZR, Wang D, Meng Y, Wu T, Sun W, Lu QC (2020a) Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach. Transportation Research Part C: Emerging Technologies 115:102619
Wang L, Xue X, Zhou X (2020b) A new approach for measuring the resilience of transport infrastructure networks. Complexity, 2020
Weart S (2010) The development of general circulation models of climate. Studies in History and Philosophy of Science Part b: Studies in History and Philosophy of Modern Physics 41:208–217
Wisetjindawat W, Kermanshah A, Derrible S, Fujita M (2017) Stochastic modeling of road system performance during multihazard events: Flash floods and earthquakes. J Infrastructure Syst 23(4):04017031
Wu F (1999) GIS-based simulation as an exploratory analysis for space-time processes. J Geogr Syst 1:199–218
Yang YF, Ng ST, Zhou SH, Xu FJ, Li HY (2019) A physics-based framework for analyzing the resilience of interdependent civil infrastructure systems: A climatic extreme event case in Hong Kong. Sustain Cities Soc 47:14
Yang Y, Ng ST, Zhou S, Xu FJ, Li H (2020) Physics-based resilience assessment of interdependent civil infrastructure systems with condition-varying components: A case with stormwater drainage system and road transport system. Sustainable Cities and Society 54:101886
Yanjun W, Jianming Z, Xinhua X, Lishuai L, Ping C, Hansen M (2019) Measuring the resilience of an airport network. Chin J Aeronaut 32:2694–2705
Ye Q, Ukkusuri SV (2015) Resilience as an Objective in the Optimal Reconstruction Sequence for Transportation Networks. Journal of Transportation Safety & Security 7:91–105
Young JK, Findley MG (2014) Computational modeling to study conflicts and terrorism. In Routledge Handbook of Research Methods in Military Studies pp. 269–280
Zhang XD, Miller-Hooks E (2015) Scheduling short-term recovery activities to maximize transportation network resilience. J Comput Civ Eng 29:10
Zhang X, Miller-Hooks E, Denny K (2015) Assessing the role of network topology in transportation network resilience. J Transp Geogr 46:35–45
Zhang LM, Wu XG, Liu MJ, Liu WL, Ashuri B (2019) Discovering worst fire scenarios in subway stations: A simulation approach. Autom Constr 99:183–196
Zhou YM, Wang JW, Yang H (2019) Resilience of Transportation Systems: Concepts and Comprehensive Review. IEEE Trans Intell Transp Syst 20:4262–4276
Zhu L, Shan M, Hwang BG (2018) Overview of Design for Maintainability in Building and Construction Research. J Perform Constr Facil 32:9
Zhu Y, Xie K, Ozbay K, Zuo F, Yang H (2017) Data-driven spatial modeling for quantifying networkwide resilience in the aftermath of hurricanes Irene and Sandy. Transp Res Rec 2604(1):9–18
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This study is funded by the National Natural Science Foundation of China (Grant No. 71901224) and the Natural Science Foundation of Hunan Province, China (Grant No. 2020JJ5779).
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Dong, BX., Shan, M. & Hwang, BG. Simulation of transportation infrastructures resilience: a comprehensive review. Environ Sci Pollut Res 29, 12965–12983 (2022). https://doi.org/10.1007/s11356-021-18033-w
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DOI: https://doi.org/10.1007/s11356-021-18033-w