GAME THEORY APPLICATIONS IN DISASTER MANAGEMENT RESEARCH

Yıl 2022, Cilt: 02 Sayı: 02, 81 - 95, 31.12.2022

Pınar Usta , Nesibe Uysal , Özgür Bozdağ

Öz

Natural disasters are sudden, dangerous events that affect nations and cause disasters in the human life. The research on effective planning and response to natural disasters is vital. Managing effective humanitarian operations is an important part of disaster management. Therefore, research on effective planning and response to natural disasters is quite important. In this paper, the literature on disaster management has been categorized. The studies on disaster management were examined using scopus and web of science databases. Statistical analysis of eligible studies selected according to keywords was made with the VOS viewer. As a result of the article analysis, it was seen that the articles on the subject decreased in the last 2 years, and the analyzes revealed that more studies should be done and that there is a work gap on the subject. It is aimed to present this study as a contribution to disaster management studies and literature.

Anahtar Kelimeler

disaster, Disaster Management, Game Theory, Data Analysis, Network

AFET YÖNETİMİ ARAŞTIRMALARINDA OYUN TEORİSİ UYGULAMALARI

Öz

Doğal afetler, ulusları etkileyen ve insan hayatında felaketlere neden olan ani, tehlikeli olaylardır. Etkili planlama ve doğal afetlerle müdahale araştırmaları hayati önem taşımaktadır. Etkili insani yardım operasyonlarını yönetmek, afet yönetiminin önemli bir parçasıdır. Bu nedenle, etkili planlama ve doğal afetlere müdahale araştırmaları oldukça önemlidir. Bu yazıda, afet yönetimi ile ilgili literatür kategorize edilmiştir. Scopus ve Web of Science veri tabanları kullanılarak afet yönetimi ile ilgili çalışmalar incelenmiştir. Anahtar kelimelere göre seçilen uygun çalışmaların istatistiksel analizi VOS Viewer ile yapılmıştır. Yapılan makale analizi sonucunda konu ile ilgili makalelerin son 2 yılda azaldığı görülmüş olup, yapılan analizler daha fazla çalışma yapılması gerektiğini ve konu ile ilgili bir açık olduğunu ortaya koymuştur. Bu çalışmanın afet yönetimi çalışmalarına ve literatüre bir katkı olarak sunulması amaçlanmaktadır.

Anahtar Kelimeler

Afet, Afet Yönetimi, Oyun Teorisi, Veri Analizi, Ağ

Kaynakça

• [1] M. Laituri and K. Kodrich, “On Line Disaster Response Community: People as Sensors of High Magnitude Disasters Using Internet GIS,” Sensors, vol. 8, no. 5, pp. 3037–3055, May 2008, doi: 10.3390/s8053037.
• [2] P. Tran, R. Shaw, G. Chantry, and J. Norton, “GIS and local knowledge in disaster management: a case study of flood risk mapping in Viet Nam,” Disasters, vol. 33, no. 1, pp. 152–169, Jan. 2009, doi: 10.1111/j.1467-7717.2008.01067.x.
• [3] Y. He, D. Zhang, and Y. Fang, “Development of a mobile post-disaster management system using free and open source technologies,” International Journal of Disaster Risk Reduction, vol. 25, pp. 101–110, Oct. 2017, doi: 10.1016/j.ijdrr.2017.08.007.
• [4] S. Ergün, P. Usta, S. Z. Alparslan Gök, and G. W. Weber, “A game theoretical approach to emergency logistics planning in natural disasters,” Annals of Operations Research, May 2021, doi: 10.1007/s10479-021-04099-9.
• [5] R. Majumder, R. R. Warier, and D. Ghose, “Game Theory-Based Allocation of Critical Resources during Natural Disasters,” in 2019 Sixth Indian Control Conference (ICC), Dec. 2019, pp. 514–519. doi: 10.1109/ICC47138.2019.9123232.
• [6] M. Alinaghian and A. Goli, “Location, Allocation and Routing of Temporary Health Centers in Rural Areas in Crisis, Solved by Improved Harmony Search Algorithm,” Int. J. Comput. Intell. Syst., vol. 10, no. 1, p. 894, 2017, doi: 10.2991/ijcis.2017.10.1.60..
• [7] A. Goli and T. Keshavarz, “Just-in-time scheduling in identical parallel machine sequence-dependent group scheduling problem,” J. Ind. Manag. Optim., vol.18, no. 6, pp. 3807, 2022, doi: 10.3934/jimo.2021124.
• [8] A. Goli, H. Khademi Zare, R. Tavakkoli-Moghaddam, and A. Sadeghieh, “Hybrid artificial intelligence and robust optimization for a multi-objective product portfolio problem Case study: The dairy products industry,” Comput. Ind. Eng., vol. 137, pp. 106090, Nov. 2019, doi: 10.1016/j.cie.2019.106090.
• [9] A. Goli, H. Khademi-Zare, R. Tavakkoli-Moghaddam, A. Sadeghieh, M. Sasanian, and R. Malekalipour Kordestanizadeh, “An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study,” Netw. Comput. Neural Syst., vol. 32, no. 1, pp. 1–35, Jan. 2021, doi: 10.1080/0954898X.2020.1849841.
• [10] A. Goli and B. Malmir, “A Covering Tour Approach for Disaster Relief Locating and Routing with Fuzzy Demand,” Int. J. Intell. Transp. Syst. Res., vol. 18, no. 1, pp. 140–152, Jan. 2020, doi: 10.1007/s13177-019-00185-2.
• [11] A. Goli and H. Mohammadi, “Developing a sustainable operational management system using hybrid Shapley value and Multimoora method: case study petrochemical supply chain,” Environ. Dev. Sustain., vol. 24, no. 9, pp. 10540–10569, Sep. 2022, doi: 10.1007/s10668-021-01844-9.
• [12] E. B. Tirkolaee, A. Goli, P. Ghasemi, and F. Goodarzian, “Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms,” J. Clean. Prod., vol. 333, Jan. 2022, doi: 10.1016/j.jclepro.2021.130056.
• [13] S. , E. O. , K. P. and S. J. L. Duran, “Humanitarian Logistics: Advanced Purchasing and Pre-Positioning of Relief Items,” in Handbook of Global Logistics –Transportation in International Supply Chains, J. H. Bookbinder, Ed. New York: Springer, 2013, pp. 447–461.
• [14] A. Kaklauskas, D. Amaratunga, and R. Haigh, “KNOWLEDGE MODEL FOR POST‐DISASTER MANAGEMENT,” International Journal of Strategic Property Management, vol. 13, no. 2, pp. 117–128, Jun. 2009, doi: 10.3846/1648-715X.2009.13.117-128.
• [15] B. M. Roger, Game theory: Analysis of conflict. USA.: The President and Fellows of Harvard College, 1991.
• [16] C. N. Madu and C.-H. Kuei, “Disaster relief supply chain quality management (DRSCQM),” International Journal of Quality & Reliability Management, vol. 31, no. 9, pp. 1052–1067, Sep. 2014, doi: 10.1108/IJQRM-08-2013-0136.
• [17] A. S. Barough, M. V. Shoubi, and M. J. E. Skardi, “Application of Game Theory Approach in Solving the Construction Project Conflicts,” Procedia - Social and Behavioral Sciences, vol. 58, pp. 1586–1593, Oct. 2012, doi: 10.1016/j.sbspro.2012.09.1145.
• [18] A. Nagurney, “Game Theory and the COVID-19 Pandemic,” in Tutorials in Operations Research: Emerging Optimization Methods and Modeling Techniques with Applications, INFORMS, 2021, pp. 83–130. doi: 10.1287/educ.2021.0226.
• [19] E. S. , G. S. Z. A. , Usta P., “ Game Theory Applications in Civil Engineering, Construction, and Building Industry,” Nov. 2019.
• [20] Q. Commine and J. Aboiron, “Application of Game Theory in Middle-Management: A Military Historical Study of the Role of the Middle-Manager as a Correlated Equilibrium Factor in the Decision-Making Process,” International Journal of Applied Research in Business and Management, vol. 2, no. 1, pp. 51–64, Jun. 2021, doi: 10.51137/ijarbm.2021.2.1.5.
• [21] J. Liu, Y. Chen, and Y. Chen, “Emergency and disaster management-crowd evacuation research,” Journal of Industrial Information Integration, vol. 21, p. 100191, Mar. 2021, doi: 10.1016/j.jii.2020.100191.
• [22] B. V. Z. J. Hausken K, “Defending against terrorism, natural disaster, and all hazards. In: Bier VM, Azaiez MN (eds) Game theoretic risk analysis of security threats,” in International series in operations research and management science, vol. 128, Boston, MA: Springer, 2009.
• [23] J. Zhuang and V. M. Bier, “Balancing Terrorism and Natural Disasters—Defensive Strategy with Endogenous Attacker Effort,” Operations Research, vol. 55, no. 5, pp. 976–991, Oct. 2007, doi: 10.1287/opre.1070.0434.
• [24] C. J. G. P. H. F. S. X. Zhuang J, “Strategic interactions in disaster preparedness and relief in the face of man-made and natural disasters,” 2012.
• [25] E. I. C. K. Eid MS, “Evolutionary stable strategy for postdisaster insurance: game theory approach,” J Manag Eng , vol. 31, no. 6, 2015.
• [26] F. Z. Yan W, “nalysis of the mechanisms of emergency management based on game theory,” in roceedings of 2008 international conference on construction and real estate management, vol. 1–2, X. K. S. Q. Wang YW, Ed. 2008, pp. 1565–1568.
• [27] L.-M. Chen, Y. E. Liu, and S.-J. S. Yang, “Robust supply chain strategies for recovering from unanticipated disasters,” Transportation Research Part E: Logistics and Transportation Review, vol. 77, pp. 198–214, May 2015, doi: 10.1016/j.tre.2015.02.015.
• [28] N. B. Mulyono, “Mutual Support in Energy Sector: Toward Energy Resilience,” Procedia Computer Science, vol. 60, pp. 1041–1050, 2015, doi: 10.1016/j.procs.2015.08.149.
• [29] Y. Peng, L. Shen, X. Zhang, and J. J. Ochoa, “The feasibility of concentrated rural settlement in a context of post-disaster reconstruction: a study of China,” Disasters, vol. 38, no. 1, pp. 108–124, Jan. 2014, doi: 10.1111/disa.12032.
• [30] J. Peng et al., “Modeling the integrated roles of insurance and retrofit in managing natural disaster risk: a multi-stakeholder perspective,” Natural Hazards, vol. 74, no. 2, pp. 1043–1068, Nov. 2014, doi: 10.1007/s11069-014-1231-3.
• [31] N. Haphuriwat and V. M. Bier, “Trade-offs between target hardening and overarching protection,” European Journal of Operational Research, vol. 213, no. 1, pp. 320–328, Aug. 2011, doi: 10.1016/j.ejor.2011.03.035.
• [32] I. Ahmed, “An overview of post‐disaster permanent housing reconstruction in developing countries,” International Journal of Disaster Resilience in the Built Environment, vol. 2, no. 2, pp. 148–164, Jul. 2011, doi: 10.1108/17595901111149141.
• [33] E. M. A. Zawawi, N. S. Yusof, and Z. Ismail, “Adoption of post-disaster waste management plan into disaster management guidelines for Malaysia,” Journal of Material Cycles and Waste Management, vol. 20, no. 1, pp. 223–236, Jan. 2018, doi: 10.1007/s10163-016-0569-x.
• [34] D. Seaberg, L. Devine, and J. Zhuang, “A review of game theory applications in natural disaster management research,” Natural Hazards, vol. 89, no. 3, pp. 1461–1483, Dec. 2017, doi: 10.1007/s11069-017-3033-x.
• [35] F. Du, K. Okazaki, C. Ochiai, and H. Kobayashi, “Post-disaster building repair and retrofit in a disaster-prone historical village in China: A case study in Shangli, Sichuan,” International Journal of Disaster Risk Reduction, vol. 16, pp. 142–157, Jun. 2016, doi: 10.1016/j.ijdrr.2016.02.007.
• [36] M. Ahmadi, A. Seifi, and B. Tootooni, “A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district,” Transportation Research Part E: Logistics and Transportation Review, vol. 75, pp. 145–163, Mar. 2015, doi: 10.1016/j.tre.2015.01.008.
• [37] E. Celik, “A cause and effect relationship model for location of temporary shelters in disaster operations management,” International Journal of Disaster Risk Reduction, vol. 22, pp. 257–268, Jun. 2017, doi: 10.1016/j.ijdrr.2017.02.020.
• [38] G. Kovács and K. M. Spens, “Humanitarian logistics in disaster relief operations,” International Journal of Physical Distribution & Logistics Management, vol. 37, no. 2, pp. 99–114, Mar. 2007, doi: 10.1108/09600030710734820.
• [39] S. M. Amin Hosseini, A. de la Fuente, and O. Pons, “Multi-criteria decision-making method for assessing the sustainability of post-disaster temporary housing units technologies: A case study in Bam, 2003,” Sustainable Cities and Society, vol. 20, pp. 38–51, Jan. 2016, doi: 10.1016/j.scs.2015.09.012.