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The role of coupling and embeddedness in risk evolution: rethinking the snow event in early 2008, China

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  • Xin Miao
  • Yanhong Tang
  • Bao Xi

Abstract

New forms of hazards generated by extreme weather pose new challenges to emergency management. The purpose of this paper is to identify a typical evolution dynamics by analyzing coupling and embeddedness in risk evolution via critical infrastructure system under extreme weather. Evidence from the snow event in early 2008, China, is used to draw the viewpoint and support the argument. The paper identifies the dynamics that how a natural hazard of extreme weather evolves into a social crisis and how coupling and embeddedness contribute to the evolution. This paper makes it evident that the impact of natural hazard to a society can obtain amplification through coupling and embeddedness. Therefore, new challenges in risk evolution should become a highlighted direction for further research. This paper sheds light on a new profile for social impact research of natural hazard and provides new insights into systems thinking on emergency management. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Xin Miao & Yanhong Tang & Bao Xi, 2014. "The role of coupling and embeddedness in risk evolution: rethinking the snow event in early 2008, China," 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. 71(1), pages 53-61, March.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:1:p:53-61
    DOI: 10.1007/s11069-013-0899-0
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    References listed on IDEAS

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    1. Xin Miao & David Banister & Yanhong Tang, 2013. "Embedding resilience in emergency resource management to cope with natural hazards," 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. 69(3), pages 1389-1404, December.
    2. Heiko Apel & Annegret Thieken & Bruno Merz & Günter Blöschl, 2006. "A Probabilistic Modelling System for Assessing Flood Risks," 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. 38(1), pages 79-100, May.
    3. Jianxiu Wang & Xueying Gu & Tianrong Huang, 2013. "Using Bayesian networks in analyzing powerful earthquake disaster chains," 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. 68(2), pages 509-527, September.
    4. Cynthia Chen & Dave Neal & Mengchu Zhou, 2013. "Understanding the evolution of a disaster—a Framework for Assessing Crisis in a System Environment (FACSE)," 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. 65(1), pages 407-422, January.
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    Cited by:

    1. Aaron Opdyke & Amy Javernick-Will & Matt Koschmann, 2017. "Infrastructure hazard resilience trends: an analysis of 25 years of research," 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. 87(2), pages 773-789, June.

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