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Evolution mechanism and driving factors of unconventional emergencies in megacities: an empirical study based on 102 cases in the world

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Abstract

Based on the analysis method of emergency mechanism, this paper sorts out the key information of the evolution mechanism of the 102 unconventional emergencies occurred in 38 megacities in the world. By using DEMATEL model to search the main factors driving the evolution of the original events to sub-events and the mutual influence among them, the following conclusions are drawn: (1) During the development of unconventional emergencies in megacities, the evolutional phenomenon of events exists generally and the evolution paths are different obviously. (2) It can be seen that there is an obvious interactive feedback relationship between the emergency handling measures and event evolution in megalopolis. (3) The main department of disposal, the level of early warning and the pre-arranged planning are the most powerful factors determining the evolution of events. The research results have obvious warning significance to improving the ability of emergency management. As such, the paper is not a study of a failure in emergency cases, but rather the theoretical framework of unconventional emergencies evolution that make actions and decisions stand out as meaningful for the actors involved in dealing with situations of high complexity and uncertainty. In the future, it is necessary to study the driving results caused by various factors and explore the internal driving mechanism between the driving factors and the type of sub-events.

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References

  • Bernosky J (2016) Planning for the unconventional emergency. J Am Water Works Ass 108(8):17–19

    Article  Google Scholar 

  • Burkle FM (2005) Integrating international responses to complex emergencies, unconventional war, and terrorism. Crit Care Med 33(S1):7–12

    Article  Google Scholar 

  • Chen WC, Tseng CP (2012) Default risk-based probabilistic decision model for risk management and control. Nat Hazards 63(2):659–671

    Article  Google Scholar 

  • Chen QX, Zeng J (2005) Problems and countermeasures: management system reform of county governments in Chinese megacities. Chin Publ Admin 12:55–58

    Google Scholar 

  • Chen A, Chen N, Ni HH et al (2009) Analysis method of modern emergency management mechanism. Science Press, Beijing, pp 45–62

    Google Scholar 

  • Falatoonitoosi E, Leman Z, Soroosh S, Salimi M (2013) Decision-making trial and evaluation laboratory. Res J Appl Sci Eng Technol 5(13):3476–3480

    Article  Google Scholar 

  • Fan WC (2007) Thoughts and suggestions on the scientific problems in the emergency management of national public emergency. China Sci Found 2:271–279

    Google Scholar 

  • Gabus A, Fontela E (1972) World problems an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Centre, Geneva

    Google Scholar 

  • Gabus A, Fontela E (1973) Perceptions of the world problematique: communication procedure, communicating with those bearing collective responsibility. Battelle Geneva Research Centre, Geneva

    Google Scholar 

  • General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China (2017) Emergency Classification and Coding, GB/T35561-2017

  • Heng X, Chen G (2018) Research on integrated governance innovation of megacities. J Univ J Soc Sci Edit 58(3):126–133

    Google Scholar 

  • Jin FD (1985) Preliminary study on the speed of industrial development and its economic characteristics in Japan’s megacities after the World War II. Contemp Econ Jpn 5:1–6

    Google Scholar 

  • Keilis-Borok VI, Soloviev AA (2010) Variations of trends of indicators describing complex systems: change of scaling precursory to extreme events. Chaos 20(3):033104

    Article  Google Scholar 

  • Lacasana-Navarro M, Aguilar-Garduno C, Romieu I (1999) Evolution of air pollution and impact on control programs in 3 megacities in Latin America. Salud publica de Mex 41(3):203–215

    Article  Google Scholar 

  • Li X, Sun SQ (2018) From fragmentation to integrity: the road of social governance modernization in China’s megacities. H Soc Sci 1:59–66

    Google Scholar 

  • Li M, Yang MJ (2006) A summary of the research on the industrial structure of China’s cities. Ind Technol Econ 2:5–8

    Google Scholar 

  • Li HM, Liu J, Ye X (2015) Scenario-based method for generating decision processes for unconventional emergencies. Syst Eng Theory Method Appl 24(6):795–805

    Google Scholar 

  • Lu XL, Zhao Y, Wang LW (2017) Study on the influencing factors of rural tourism development based on DEMATEL method. Resour Dev Mark 2:209–214

    Google Scholar 

  • Madronich S (2006) Chemical evolution of gaseous air pollutants down-wind of tropical megacities: Mexico City case study. Atmos Environ 40(31):6012–6018

    Article  Google Scholar 

  • Monares A, Ochoa SF, Pino JA, Lopez TR, Noguera M (2014) Using unconventional awareness in emergency responses. IEEE Lat Am Trans 12(S1):62–68

    Article  Google Scholar 

  • Ren ZY (2014) Views on urban development policy and scale standards. Urban Dev Stud 21(9):1–4

    Google Scholar 

  • Sun ZJ, Su XS, Liu RH (2017) An empirical study on the changes of Industrial Structure In Megacities: taking Beijing and Shanghai as examples. China Soft Sci 3:84–98

    Google Scholar 

  • Wang JL, Zhou GH, Peng XY (2018) Risk assessment of overseas railway projects based on DEMATEL and ANP. Res Sci Technol Manag 11(34):219–227

    Google Scholar 

  • Wu GB, Dang M, Wu JH, Li HY (2015) Research on the impact of goal differences on communication behavior and emergency cooperation under complex tasks. China Soft Sci 5:149–159

    Google Scholar 

  • Zhang W (2015) Controlling the population size of megacities is a major development issue-also on Beijing’s population control strategy. Expand Horiz 6:53–58

    Google Scholar 

  • Zhang SL, Nie LQ (2017) Behavior of construction safety management based on DEMATEL method. Saf Environ Eng 24(1):121–125

    Google Scholar 

  • Zhao HL, Liu JP, Liu XD (2010) Research on the optimal route of emergency resource scheduling for unconventional urban traffic emergencies. J B I Technol (Soc Sci Edit) 12(6):65–68

    Google Scholar 

  • Zhou D, Chen A (2015) Analysis of emergency mechanism and standardization of public safety: a case study of MERS epidemic in Korea. Stand Sci 10:49–53

    Google Scholar 

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Acknowledgements

This research is based on the project “Study on the Evolution Mechanism and Prevention Control of unconventional Emergencies in megacities” supported by Beijing Natural Science Foundation Program.

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Correspondence to Dan Zhou or An Chen.

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Zhou, D., Fan, C. & Chen, A. Evolution mechanism and driving factors of unconventional emergencies in megacities: an empirical study based on 102 cases in the world. Nat Hazards 103, 513–530 (2020). https://doi.org/10.1007/s11069-020-03998-7

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