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Articles

Challenges review of decision making in post-disaster construction

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References

  • Abdel-malak FF, Issa UH, Miky YH, Osman EA. 2017. Applying decision-making techniques to civil engineering projects. Beni-Suef Univ J Basic Appl Sci. 6(4):326–331.
  • Adamy A, Abu Bakar AH. 2021. Developing a building-performance evaluation framework for post-disaster reconstruction: the case of hospital buildings in Aceh, Indonesia. Int J Constr Manage. 21(1):56–77.
  • Ade Bilau A, Witt E. 2016. An analysis of issues for the management of post-disaster housing reconstruction. Int J Strategic Prop Manage. 20(3):265–276.
  • Afkhamiaghda M, Afsari K, Elwakil E, Rapp R. 2019. An Approach to simulating construction process in post-disaster sheltering. In 55th Annual ASC International Conference.
  • Al-Atesh EA, Rahmawati Y, Zawawi N, Utomo C. 2021. A decision-making model for supporting selection of green building materials. Int J Constr Manage. https://doi.org/10.1080/15623599.2021.1944548.
  • Amarkhil Q, Elwakil E. 2019. Construction organization success strategy in post-conflict environment. Int J Constr Manage. https://doi.org/10.1080/15623599.2019.1644761.
  • Bakht MN, El-Diraby TE. 2015. Synthesis of decision-making research in construction. J Constr Eng Manage. 141(9):04015027.
  • Balakrishnan R. 2016. Post disaster damage estimation using integrated GPS sensor network & GIS. In 2016 International Conference on Wireless Communications, IEEE. Signal Processing and Networking (WiSPNET); p. 1234–1238.
  • Balcik B. 2017. Site selection and vehicle routing for post-disaster rapid needs assessment. Transport Res Part E: Logistics Transport Rev. 101:30–58.
  • Bayram V, Tansel BÇ, Yaman H. 2015. Compromising system and user interests in shelter location and evacuation planning. Transport Res Part B: Methodol. 72:146–163.
  • Bellos J. 2012, November. Virtual reality as a decision making tool in construction management. In Proceedings of the 8th European Conference on Management Leadership and Governance; p.p. 30–38.
  • Berkoune D, Renaud J, Rekik M, Ruiz A. 2012. Transportation in disaster response operations. Socio-Econ Planning Sci. 46(1):23–32.
  • Binder SB, Baker CK, Barile JP. 2015. Rebuild or relocate? Resilience and postdisaster decision-making after Hurricane Sandy. Am J Community Psychol. 56(1-2):180–196.
  • Bitarafan M, Zolfani SH, Arefi SL, Zavadskas EK. 2012. Evaluating the construction methods of cold-formed steel structures in reconstructing the areas damaged in natural crises, using the methods AHP and COPRAS-G. Arch Civil Mech Eng. 12(3):360–367.
  • Boonmee C, Arimura M, Asada T. 2018. Location and allocation optimization for integrated decisions on post-disaster waste supply chain management: On-site and off-site separation for recyclable materials. Int J Disaster Risk Reduct. 31:902–917.
  • Cao C, Li C, Yang Q, Liu Y, Qu T. 2018. A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters. J Cleaner Prod. 174:1422–1435.
  • Celentano G, Hischier V, Habert G, Escamilla EZ, Göswein V. 2019. Re-thinking material selection for large scale post-disaster reconstruction. ETH Zurich. [accessed 2021 March 02]. https://ethz.ch/content/dam/ethz/special-interest/conference-websites-dam/no-cost-housing-dam/documents/Celentano_Paper.pdf.
  • Chang Y, Wilkinson S, Potangaroa R, Seville E. 2011. Donor-driven resource procurement for post-disaster reconstruction: constraints and actions. Habitat International. 35(2):199–205.
  • Chen L. 2012. A web-based system for optimizing post disaster temporary housing allocation. University of Washington. Ann Arbor, MI: UMI Dissertation Publishing.
  • Chiou YC, Lai YH. 2008. An integrated multi‐objective model to determine the optimal rescue path and traffic controlled arcs for disaster relief operations under uncertainty environments. ATR. 42(4):493–519.
  • Davidson CH, Johnson C, Lizarralde G, Dikmen N, Sliwinski A. 2007. Truths and myths about community participation in post-disaster housing projects. Habitat Int. 31(1):100–115.
  • Dhakal S, Zhang L, Lv X. 2020. Ontology-based semantic modelling to support knowledge-based document classification on disaster-resilient construction practices. Int J Constr Manage. https://doi.org/10.1080/15623599.2020.1765097.
  • El-Anwar O, El-Rayes K, Elnashai A. 2008. Multi-objective optimization of temporary housing for the 1994 Northridge earthquake. J Earthquake Eng. 12(sup2):81–91.
  • Escamilla EZ, Habert G. 2015. Global or local construction materials for post-disaster reconstruction? sustainability assessment of 20 post-disaster shelter designs. Data Brief. 4:308–314.
  • Fetter G, Rakes T. 2012. Incorporating recycling into post-disaster debris disposal. Socio-Econ Planning Sci. 46(1):14–22.
  • Fong P, Choi S. 2000. Final contractor selection using the analytical hierarchy process. Constr Manage Econ. 18(5):547–557.
  • Ford G, Ahn YH, Choi DM. 2014. Modular building for urban disaster housing: case study of urban post-disaster housing prototype in New York. Fire Sci Eng. 28(6):82–89.
  • Furuta H, Ishibashi K, Tsu KN, Hotta S. 2008. Optimal restoration scheduling of damaged networks under uncertain environment by using improved genetic algorithm. Tinshhua Sci Technol. 13(S1):400–405.
  • Goujon B, Labreuche C. 2015. Use of a multi-criteria decision support tool to prioritize reconstruction projects in a post-disaster phase. Proceedings of the 2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM); IEEE, 200–206.
  • Gunantara N. 2018. A review of multi-objective optimization: methods and its applications. Cogent Eng. 5(1):1502242.
  • Haghi M, Ghomi S, Jolai F. 2017. Developing a robust multi-objective model for pre/post disaster times under uncertainty in demand and resource. J Cleaner Prod. 154:188–202.
  • Haliřová M, Rykalova E. 2014. Use of multi-criteria optimization for selection of building materials for reconstruction. In Advanced materials research. Switzerland: Trans Tech Publications Ltd; Vol. 899, p. 474–478.
  • Hayat E, Amaratunga RDG. 2011. Road reconstruction in post - disaster recovery; the challenges and obstacles. International Conference on Building Resilience 2011: Interdisciplinary approaches to disaster risk reduction, and the development of sustainable communities and cities, July, 2011, Kandalama, Sri Lanka.
  • Hayles CS. 2010. An examination of decision making in post disaster housing reconstruction. Int J Disaster Resil Built Environ. 1(1):103–122.
  • Haymaker J, Bernal M, Marshall MT, Okhoya V, Szilasi A, Rezaee R, Chen C, Salveson A, Brechtel J, Deckinga L, et al. 2018. Design space construction: a framework to support collaborative, parametric decision making. J Inf Technol Constr (ITcon). 23(8):157–178.
  • Hosseini SA, de la Fuente A, Pons O. 2016a. Multicriteria decision-making method for sustainable site location of post-disaster temporary housing in urban areas. J Constr Eng Manage. 142(9):04016036.
  • Hosseini SA, de la Fuente A, Pons O. 2016b. Multi-criteria decision-making method for assessing the sustainability of post-disaster temporary housing units technologies: a case study in Bam, 2003. Sustain Cities Soc. 20:38–51.
  • Hualing L, Wei Z, Deqiang F. 2013. No Title. Int J Appl Math Stat. 50(20):238–248.
  • Humbert S, De Schryver A, Bengoa X, Margni M, Jolliet O. 2012. IMPACT 2002+: user guide. Draft for version Q, 2. Lausanne, Switzerland: EPFL.
  • Hwang CL, Yoon K. 1981. Methods for multiple attribute decision making. In Multiple attribute decision making. Berlin, Heidelberg: Springer; p. 58–191.
  • Jato-Espino D, Castillo-Lopez E, Rodriguez-Hernandez J, Canteras-Jordana JC. 2014. A review of application of multi-criteria decision making methods in construction. Autom Constr. 45:151–162.
  • Jennings NR, Tambe M, Ishida T, Ramchurn SD. 2006. First International Workshop on Agent Technology for Disaster Management. Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, ACM, Hakodate, Japan, May, 2006.
  • Kabak M, Köse E, Kırılmaz O, Burmaoğlu S. 2014. A fuzzy multi-criteria decision making approach to assess building energy performance. Energy Build. 72:382–389.
  • Kaklauskas A, Amaratunga D, Haigh R. 2009. Knowledge model for post‐disaster management. Int J Strategic Prop Manage. 13(2):117–128.
  • Kapucu N, Garayev V. 2011. Collaborative decision-making in emergency and disaster management. Int J Public Admin. 34(6):366–375.
  • Kar B, Hodgson ME. 2008. A GIS‐based model to determine site suitability of emergency evacuation shelters. Trans GIS. 12(2).:227–248.
  • Karaoğlan FC, Alaçam S. 2019. Design of a post-disaster shelter through soft computing. Int J Arch Comput. 17(2):185–205.
  • Kennedy J, Ashmore J, Babister E, Kelman I. 2008. The meaning of ‘build back better’: evidence from post‐tsunami Aceh and Sri Lanka. J Contingen Crisis Manage. 16(1):24–36.
  • Kilci F, Kara BY, Bozkaya B. 2015. Locating temporary shelter areas after an earthquake: a case for Turkey. Eur J Oper Res. 243(1):323–332.
  • Kim J, Deshmukh A, Hastak M. 2014. Selecting a temporary debris management site for effective debris removal. 10th Annual Conference of the International Institute for Infrastructure Renewal and Reconstruction; p. 214–218
  • Kongsomsaksakul S, Yang C, Chen A. 2005. Shelter location-allocation model for flood evacuation planning. J Eastern Asia Soc Transport Stud. 6:4237–4252.
  • Kou G, Ergu D, Shi Y. 2014. An integrated expert system for fast disaster assessment. Comput Oper Res. 42:95–107.
  • Ksiąźek MV, Nowak PO, Kivrak S, Rosłon JH, Ustinovichius L., 2015. Computer-aided decision-making in construction project development. J Civil Eng Manage. 21(2):248–259.
  • Liberatore F, Ortuño MT, Tirado G, Vitoriano B, Scaparra MP. 2014. A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Comput Operat Res. 42:3–13.
  • Lorca Á, Çelik M, Ergun Ö, Keskinocak P. 2017. An optimization‐based decision‐support tool for post‐disaster debris operations. Prod Oper Manage. 26(6):1076–1091.
  • Ma Y, Xu W, Qin L, Zhao X. 2019. Site selection models in natural disaster shelters: a review. Sustainability. 11(2):399.
  • MacAskill K, Guthrie P. 2015. A hierarchy of measures for infrastructure resilience–learning from post-disaster reconstruction in Christchurch, New Zealand. Civil Engineering and Environmental Systems. 32(1-2):130–142.
  • Machairas V, Tsangrassoulis A, Axarli K. 2014. Algorithms for optimization of building design: a review. Renewable Sustainable Energy Rev. 31:101–112.
  • Minoglou M, Komilis D. 2013. Optimizing the treatment and disposal of municipal solid wastes using mathematical programming—a case study in a Greek region. Resour Conserv Recycl. 80:46–57.
  • Mollah AK, Sadhukhan S, Das P, Anis MZ. 2018. A cost optimization model and solutions for shelter allocation and relief distribution in flood scenario. Int J Disaster Risk Reduct. 31:1187–1198.
  • Nappi M, Nappi V, Souza JC. 2019. Multi-criteria decision model for the selection and location of temporary shelters in disaster management. Int J Humanitarian Action. 4(1):1–19.
  • Nappi M, Souza JC. 2015. Disaster management: hierarchical structuring criteria for selection and location of temporary shelters. Nat Hazards. 75(3):2421–2436.
  • National Research Council. 2006. Facing hazards and disasters understanding human dimensions. Washington, D. C.: The National Academy Press.
  • Nguyen AT, Reiter S, Rigo P. 2014. A review on simulation-based optimization methods applied to building performance analysis. Appl Energy. 113:1043–1058.
  • Ning X, Lam KC, Lam M. 2011. A decision-making system for construction site layout planning. Autom Constr. 20(4):459–473.
  • Nowak P, Książek M, Draps M, Zawistowski J. 2016. Decision making with use of building information modeling. Procedia Eng. 153:519–526.
  • Odeh AM, Battaineh HT. 2002. Causes of construction delay: traditional contracts. Int J Project Manage. 20(1):67–73.
  • Omidvar B, Baradaran‐Shoraka M, Nojavan M. 2013. Temporary site selection and decision-making methods: a case study of Tehran, Iran. Disasters. 37(3):536–553.
  • Onan K, Ülengin F, Sennaroğlu B. 2015. An evolutionary multi-objective optimization approach to disaster waste management: a case study of Istanbul, Turkey. Expert Syst Appl. 42(22):8850–8857.
  • Opricovic S, Tzeng GH. 2002. Multicriteria planning of post‐earthquake sustainable reconstruction. Comp-Aided Civil Eng. 17(3):211–220.
  • Pati D, Park CS, Augenbroe G. 2009. Roles of quantified expressions of building performance assessment in facility procurement and management. Build Environ. 44(4):773–784.
  • Peng M, Peng Y, Chen H. 2014. Post-seismic supply chain risk management: a system dynamics disruption analysis approach for inventory and logistics planning. Comput Oper Res. 42:14–24.
  • Pezzica C, Cutini V, de Souza CB. 2021. Mind the gap: state of the art on decision-making related to post-disaster housing assistance. Int J Disaster Risk Reduct. 53:101975.
  • Platt S. 2017, June. Factors affecting the speed and quality of post-disaster recovery and resilience. In International conference on earthquake engineering and structural dynamics; p. 369–403. Cham: Springer.
  • Rahman S, Odeyinka H, Perera S, Bi Y. 2012. Product-cost modelling approach for the development of a decision support system for optimal roofing material selection. Expert Syst Appl. 39(8):6857–6871.
  • Rakes TR, Deane JK, Rees LP, Fetter GM. 2014. A decision support system for post-disaster interim housing. Decision Support Syst. 66:160–169.
  • Ransikarbum K, Mason SJ. 2016. Goal programming-based post-disaster decision making for integrated relief distribution and early-stage network restoration. Int J Prod Econ. 182:324–341.
  • Saaty TL. 1996. Decision making with dependence and feedback: the analytic network process (Vol. 4922, No. 2). Pittsburgh: RWS Publications.
  • Sabaei D, Erkoyuncu J, Roy R. 2015. A review of multi-criteria decision making methods for enhanced maintenance delivery. Procedia CIRP. 37:30–35.
  • Sarma D, Bera UK, Singh A, Maiti M. 2017. A multi-objective post-disaster relief logistic model. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), IEEE; p. 205–208
  • Schmidt K. 2012. The trouble with ‘tacit knowledge. Comput Supported Coop Work. 21(2–3):163–225.
  • Sen B, Bhattacharjee P, Mandal UK. 2016. A comparative study of some prominent multi criteria decision making methods for connecting rod material selection. Perspect Sci. 8:547–549.
  • Shi Y, Kou G, Li Y, Wang G, Peng Y, Shi Y. 2010, June. FMCDM: a fuzzy multi-criteria decision-making hybrid approach to evaluate the damage level of typhoon: integration of fuzzy AHP and fuzzy TOPSIS. In The 3rd International Conference on Information Sciences and Interaction Sciences. IEEE; p. 666–671.
  • Sweet W, Kopp R, Weaver CP, Obeysekera J, Horton RM, Thieler ER, Zervas CE. 2017. Global and regional sea level rise scenarios for the United States. Technical Report. NOAA Technical Report NOS CO-OPS 083. Washington, D.C.: U.S. Department of Commerce.
  • Trivedi A. 2018. A multi-criteria decision approach based on DEMATEL to assess determinants of shelter site selection in disaster response. Int J Disaster Risk Reduct. 31:722–728.
  • Wang X, Choi TM, Liu H, Yue X. 2018. A novel hybrid ant colony optimization algorithm for emergency transportation problems during post-disaster scenarios. IEEE Trans Syst Man Cybern Syst. 48(4):545–556.
  • Wei C, Hao X. 2011. Establishment and application of comprehensive evaluation system for the ability of post-disaster recovery and reconstruction. Proceedings of International Conference on Information Systems for Crisis Response and Management, ISCRAM 2011; Nov. 25–27; Harbin, China; p. 403–408. https://doi.org/10.1109/ISCRAM.2011.6184140
  • Wen K, Chen W. 2004. Application of genetic algorithms to establish flooding evacuation path model in metropolitan area. CAADRIA. 2004:557–570.
  • Wen R, Zhong S, Zhang B. 2013. Multi-objective optimization of post-disaster emergency resources scheduling using multiple ant colony systems optimization algorithm. In Proceedings of the eighth international conference on bio-inspired computing: theories and applications (BIC-TA), 2013; p. 1047–1054. Berlin, Heidelberg: Springer.
  • Yang B, Jahan I. 2018. Comprehensive assessment for post-disaster recovery process in a tourist town. Sustainability. 10(6):1842.
  • Yi H, Yang J. 2014. Research trends of post disaster reconstruction: The past and the future. Habitat Int. 42:21–29.
  • Zhang X, Sun B, Mei T, Wang R. 2010, November. Post-disaster restoration based on fuzzy preference relation and bean optimization algorithm. In 2010 IEEE youth conference on information, computing and telecommunications, Beijing, 28–30 Nov. IEEE; p. 271–274.
  • Zhi L, Qinqin J, Yufeng Z. 2017. Multi-objective dynamic location-allocation model for post-earthquake emergency facilities. Comput Eng. 43(6):250–281.
  • Zhu J, Orooji F, Chelson D. 2018. Optimal material selection algorithm for post-disaster shelters applying analytic hierarchy process: a case study of refugee shelters in Germany. In Construction Research Congress 2018, p. 563–572
  • Zidi K, Mguis F, Borne P, Ghedira K. 2013. Distributed genetic algorithm for disaster relief planning. Int J Comput Commun. 8(5):769–783.

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