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Spatial and Temporal Variation in Evacuee Risk Perception Throughout the Evacuation and Return‐Entry Process

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  • Laura K. Siebeneck
  • Thomas J. Cova

Abstract

Developing effective evacuation and return‐entry plans requires understanding the spatial and temporal dimensions of risk perception experienced by evacuees throughout a disaster event. Using data gathered from the 2008 Cedar Rapids, Iowa Flood, this article explores how risk perception and location influence evacuee behavior during the evacuation and return‐entry process. Three themes are discussed: (1) the spatial and temporal characteristics of risk perception throughout the evacuation and return‐entry process, (2) the relationship between risk perception and household compliance with return‐entry orders, and (3) the role social influences have on the timing of the return by households. The results indicate that geographic location and spatial variation of risk influenced household risk perception and compliance with return‐entry plans. In addition, sociodemographic characteristics influenced the timing and characteristics of the return groups. The findings of this study advance knowledge of evacuee behavior throughout a disaster and can inform strategies used by emergency managers throughout the evacuation and return‐entry process.

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  • Laura K. Siebeneck & Thomas J. Cova, 2012. "Spatial and Temporal Variation in Evacuee Risk Perception Throughout the Evacuation and Return‐Entry Process," Risk Analysis, John Wiley & Sons, vol. 32(9), pages 1468-1480, September.
    • Handle: RePEc:wly:riskan:v:32:y:2012:i:9:p:1468-1480
    DOI: 10.1111/j.1539-6924.2011.01781.x
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    Cited by:

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    2. Jinan N. Allan & Joseph T. Ripberger & Wesley Wehde & Makenzie Krocak & Carol L. Silva & Hank C. Jenkins‐Smith, 2020. "Geographic Distributions of Extreme Weather Risk Perceptions in the United States," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2498-2508, December.
    3. Dingde Xu & Wenfeng Zhou & Xin Deng & Zhixing Ma & Zhuolin Yong & Cheng Qin, 2020. "Information credibility, disaster risk perception and evacuation willingness of rural households in 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. 103(3), pages 2865-2882, September.
    4. Laura Siebeneck & Ronald Schumann & Britt-Janet Kuenanz & Seungyoon Lee & Bailey C. Benedict & Caitlyn M. Jarvis & Satish V. Ukkusuri, 2020. "Returning home after Superstorm Sandy: phases in the return-entry process," 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. 101(1), pages 195-215, March.
    5. Junji Urata & Adam J. Pel, 2018. "People's Risk Recognition Preceding Evacuation and Its Role in Demand Modeling and Planning," Risk Analysis, John Wiley & Sons, vol. 38(5), pages 889-905, May.
    6. Qihui Xie & Yanan Xue, 2022. "The Prediction of Public Risk Perception by Internal Characteristics and External Environment: Machine Learning on Big Data," IJERPH, MDPI, vol. 19(15), pages 1-20, August.
    7. Sammy Zahran & Daniele Tavani & Stephan Weiler, 2013. "Daily Variation in Natural Disaster Casualties: Information Flows, Safety, and Opportunity Costs in Tornado Versus Hurricane Strikes," Risk Analysis, John Wiley & Sons, vol. 33(7), pages 1265-1280, July.

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