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Understanding the evolution of a disaster—a Framework for Assessing Crisis in a System Environment (FACSE)

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  • Cynthia Chen
  • Dave Neal
  • Mengchu Zhou

Abstract

To understand the evolution of a disaster, we propose a Framework for Assessing Crisis in a System Environment (FACSE). FACSE is set in a multi-system environment, containing the human system as well as the various natural and technological systems that interact with people. We take a lifecycle perspective, via which we quantify rhythms of life exhibited in multiple systems, across different scales, at different times. The lifecycle perspective also implies a relative approach in that rhythms of life during time t can be compared against those during t-1. We illustrate how rhythms of life in the human system can be measured at different scales. We propose a new concept—the degree of disaster, which is a composite score that encompasses the various measurements of rhythms of life from multiple systems, across different scales. We conclude the paper by discussing the potential offered by FACSE in disaster research as well as the limitations. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:65:y:2013:i:1:p:407-422
    DOI: 10.1007/s11069-012-0371-6
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    References listed on IDEAS

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    1. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
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    Cited by:

    1. Rachel Samuels & Jiajia Xie & Neda Mohammadi & John E. Taylor, 2022. "Tipping the scales: how geographical scale affects the interpretation of social media behavior in crisis 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. 112(1), pages 545-564, May.
    2. Rachel Samuels & John E. Taylor & Neda Mohammadi, 2020. "Silence of the Tweets: incorporating social media activity drop-offs into crisis detection," 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. 103(1), pages 1455-1477, August.
    3. 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.
    4. Xiangyang Guan & Cynthia Chen, 2014. "Using social media data to understand and assess disasters," 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. 74(2), pages 837-850, November.
    5. Xiangyang Guan & Cynthia Chen & Dan Work, 2016. "Tracking the Evolution of Infrastructure Systems and Mass Responses Using Publically Available Data," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-17, December.

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