IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v71y2014i1p53-61.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-013-0899-0
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-013-0899-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Animesh Gain & Vahid Mojtahed & Claudio Biscaro & Stefano Balbi & Carlo Giupponi, 2015. "An integrated approach of flood risk assessment in the eastern part of Dhaka City," 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. 79(3), pages 1499-1530, December.
    2. Jia He & Linmei Zhuang & Xin Deng & Dingde Xu, 2023. "Peer effects in disaster preparedness: whether opinion leaders make a difference," 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. 115(1), pages 187-213, January.
    3. Hou, Tianfeng & Nuyens, Dirk & Roels, Staf & Janssen, Hans, 2019. "Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    4. Jiajun Wang & Zhichao He & Wenguo Weng, 2020. "A review of the research into the relations between hazards in multi-hazard risk 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. 104(3), pages 2003-2026, December.
    5. Kai Tang & Toshihiro Osaragi, 2024. "Multi-Objective Evcuation Planning Model Considering Post-Earthquake Fire Spread: A Tokyo Case Study," Sustainability, MDPI, vol. 16(10), pages 1-22, May.
    6. H. Moel & J. Aerts, 2011. "Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates," 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. 58(1), pages 407-425, July.
    7. Huicong Jia & Fang Chen & Donghua Pan, 2019. "Disaster Chain Analysis of Avalanche and Landslide and the River Blocking Dam of the Yarlung Zangbo River in Milin County of Tibet on 17 and 29 October 2018," IJERPH, MDPI, vol. 16(23), pages 1-12, November.
    8. Melanie Kunz & Adrienne Grêt-Regamey & Lorenz Hurni, 2011. "Visualization of uncertainty in natural hazards assessments using an interactive cartographic information system," 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. 59(3), pages 1735-1751, December.
    9. Lindsay Beevers & Lila Collet & Gordon Aitken & Claire Maravat & Annie Visser, 2020. "The influence of climate model uncertainty on fluvial flood hazard estimation," 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. 104(3), pages 2489-2510, December.
    10. Hiroki Noguchi & Takuma Nishizawa & Masaaki Fuse, 2021. "A method to characterize the social cascading damage processes of disasters using media information," 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. 107(1), pages 231-247, May.
    11. Feng, Jian Rui & Yu, Guanghui & Zhao, Mengke & Zhang, Jiaqing & Lu, Shouxiang, 2022. "Dynamic risk assessment framework for industrial systems based on accidents chain theory: The case study of fire and explosion risk of UHV converter transformer," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    12. Sebastiaan N. Jonkman & Ruben Jongejan & Bob Maaskant, 2011. "The Use of Individual and Societal Risk Criteria Within the Dutch Flood Safety Policy—Nationwide Estimates of Societal Risk and Policy Applications," Risk Analysis, John Wiley & Sons, vol. 31(2), pages 282-300, February.
    13. Jie Zhao & Ji Yun Lee & Dane Camenzind & Michael Wolcott & Kristin Lewis & Olivia Gillham, 2023. "Multi-Component Resilience Assessment Framework for a Supply Chain System," Sustainability, MDPI, vol. 15(7), pages 1-25, April.
    14. Shuai Li & Qiusong Chen & Xinmin Wang, 2016. "Superiority of Filtered Tailings Storage Facility to Conventional Tailings Impoundment in Southern Rainy Regions of China," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
    15. Jean-Luc Kok & Malte Grossmann, 2010. "Large-scale assessment of flood risk and the effects of mitigation measures along the Elbe River," 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. 52(1), pages 143-166, January.
    16. Si, Deng-Kui & Li, Xiao-Lin & Xu, XuChuan & Fang, Yi, 2021. "The risk spillover effect of the COVID-19 pandemic on energy sector: Evidence from China," Energy Economics, Elsevier, vol. 102(C).
    17. Selene Perazzini & Giorgio Stefano Gnecco & Fabio Pammolli, 2020. "A Public-Private Insurance Model for Natural Risk Management: an Application to Seismic and Flood Risks on Residential Buildings in Italy," Papers 2006.05840, arXiv.org.
    18. Mark C. Quigley & Luke G. Bennetts & Patricia Durance & Petra M. Kuhnert & Mark D. Lindsay & Keith G. Pembleton & Melanie E. Roberts & Christopher J. White, 2019. "The provision and utility of science and uncertainty to decision-makers: earth science case studies," Environment Systems and Decisions, Springer, vol. 39(3), pages 307-348, September.
    19. María Bermúdez & Andreas Paul Zischg, 2018. "Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling," 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. 92(3), pages 1633-1648, July.
    20. Sebastiaan N. Jonkman & Matthijs Kok & Johannes K. Vrijling, 2008. "Flood Risk Assessment in the Netherlands: A Case Study for Dike Ring South Holland," Risk Analysis, John Wiley & Sons, vol. 28(5), pages 1357-1374, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:71:y:2014:i:1:p:53-61. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.