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Research on the Construction of a Natural Hazard Emergency Relief Alliance Based on the Public Participation Degree

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  • Yingxin Chen

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Jing Zhang

    (School of Information Science and Engineering, University of Jinan, Jinan 250022, China
    Shandong Provincial Key Laboratory of Network-based Intelligent Computing, University of Jinan, Jinan 250022, China)

  • Zhaoguo Wang

    (School of Marxism Studies, Northeast Agricultural University, Harbin 150030, China)

  • Pandu R. Tadikamalla

    (Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA 15260, USA)

Abstract

At present, in light of new situations and the new task of natural hazard response, effective public participation in emergency relief has become an urgent task that can reduce economic losses and casualties. The purpose of this paper is to construct a natural hazard emergency relief alliance and analyze the mechanisms and dynamics of public participation. In this study, methods based on a multi-agent system were adopted, and we used different participants as heterogeneous agents with different attitudes and resources. Using four different processes, namely participation proposals, negotiation interval, negotiation decision-making function, and participation strategy, we comprehensively construct an emergency relief alliance for natural hazards. In addition, the dynamic public interaction process is analyzed and a construction algorithm is given. The experimental results show that the proposed method has better performance in alliance formation efficiency, negotiation efficiency, and agent utility. The research results illustrate that the public’s attitudes and resources influence the construction of emergency relief alliances; a greater degree of public participation contributes to a more efficient alliance formation. The findings of this study contribute to the promotion of public cooperation and improvement in the efficiency of natural hazard emergency relief.

Suggested Citation

  • Yingxin Chen & Jing Zhang & Zhaoguo Wang & Pandu R. Tadikamalla, 2020. "Research on the Construction of a Natural Hazard Emergency Relief Alliance Based on the Public Participation Degree," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2604-:d:336904
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    References listed on IDEAS

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    1. Wex, Felix & Schryen, Guido & Feuerriegel, Stefan & Neumann, Dirk, 2014. "Emergency response in natural disaster management: Allocation and scheduling of rescue units," European Journal of Operational Research, Elsevier, vol. 235(3), pages 697-708.
    2. Alberto Ruiz-Villaverde & Miguel A. García-Rubio, 2017. "Public Participation in European Water Management: from Theory to Practice," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(8), pages 2479-2495, June.
    3. Ali Naqvi & Miriam Rehm, 2014. "A multi-agent model of a low income economy: simulating the distributional effects of natural disasters," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 275-309, October.
    4. Gisela Wachinger & Ortwin Renn & Chloe Begg & Christian Kuhlicke, 2013. "The Risk Perception Paradox—Implications for Governance and Communication of Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1049-1065, June.
    5. Federica Totaro & Ines Alberico & Diego Di Martire & Concettina Nunziata & Paola Petrosino, 2020. "The key role of hazard indices and hotspot in disaster risk management: the case study of Napoli and Pozzuoli municipalities (Southern Italy)," Journal of Maps, Taylor & Francis Journals, vol. 16(2), pages 68-78, December.
    6. Sarfaraz Gani Adnan & Heidi Kreibich, 2016. "An evaluation of disaster risk reduction (DRR) approaches for coastal delta cities: a comparative analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(2), pages 1257-1278, September.
    7. Timothy Werner, 2015. "Gaining Access by Doing Good: The Effect of Sociopolitical Reputation on Firm Participation in Public Policy Making," Management Science, INFORMS, vol. 61(8), pages 1989-2011, August.
    8. Mi Sun Park & Hyowon Lee, 2016. "Legal Opportunities for Public Participation in Forest Management in the Republic of Korea," Sustainability, MDPI, vol. 8(4), pages 1-13, April.
    9. Roxane Marchal & Guillaume Piton & Elena Lopez-Gunn & Pedro Zorrilla-Miras & Peter van der Keur & Kieran W. J. Dartée & Polona Pengal & John H. Matthews & Jean-Marc Tacnet & Nina Graveline & Monica A., 2019. "The (Re)Insurance Industry’s Roles in the Integration of Nature-Based Solutions for Prevention in Disaster Risk Reduction—Insights from a European Survey," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    10. Alem, Douglas & Clark, Alistair & Moreno, Alfredo, 2016. "Stochastic network models for logistics planning in disaster relief," European Journal of Operational Research, Elsevier, vol. 255(1), pages 187-206.
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    Cited by:

    1. Jida Liu & Changqi Dong & Shi An & Yanan Guo, 2021. "Research on the Natural Hazard Emergency Cooperation Behavior between Governments and Social Organizations Based on the Hybrid Mechanism of Incentive and Linkage in China," IJERPH, MDPI, vol. 18(24), pages 1-27, December.
    2. Jida Liu & Yanan Guo & Shi An & Chenxi Lian, 2021. "A Study on the Mechanism and Strategy of Cross-Regional Emergency Cooperation for Natural Disasters in China—Based on the Perspective of Evolutionary Game Theory," IJERPH, MDPI, vol. 18(21), pages 1-29, November.
    3. Jida Liu & Yuwei Song & Shi An & Changqi Dong, 2022. "How to Improve the Cooperation Mechanism of Emergency Rescue and Optimize the Cooperation Strategy in China: A Tripartite Evolutionary Game Model," IJERPH, MDPI, vol. 19(3), pages 1-27, January.
    4. Hariklia D. Skilodimou & George D. Bathrellos, 2021. "Natural and Technological Hazards in Urban Areas: Assessment, Planning and Solutions," Sustainability, MDPI, vol. 13(15), pages 1-5, July.

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