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Confidence, knowledge, and compliance with emergency evacuation

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  • Jungbu Kim
  • Seong Soo Oh

Abstract

Hurricane Katrina vividly showed that policy compliance can be a life-or-death matter in times of natural disasters. Although a substantial number of emergency management studies examined the determinants of evacuation compliance, they largely focused on demographic and socioeconomic characteristics. Research in policy implementation shows that public confidence in government institutions and knowledge about policies implemented are critical factors for securing compliance from target populations. Building upon this literature, we examine whether confidence and knowledge factors can predict compliance behaviors with policies of disaster response. Our analysis of a nationwide survey indicates that confidence in Federal Emergency Management Agency significantly increases the probability of compliance with evacuation orders. Individuals with better knowledge of local disaster response plans are also more likely to comply with evacuation orders than others. These findings suggest that enhancing the effectiveness of disaster management policy may require a fundamentally different approach with a new focus on institutional capacity and process.

Suggested Citation

  • Jungbu Kim & Seong Soo Oh, 2015. "Confidence, knowledge, and compliance with emergency evacuation," Journal of Risk Research, Taylor & Francis Journals, vol. 18(1), pages 111-126, January.
  • Handle: RePEc:taf:jriskr:v:18:y:2015:i:1:p:111-126
    DOI: 10.1080/13669877.2014.880728
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    Cited by:

    1. Yanbo Zhang & Yibao Wang & Ahmad Bayiz Ahmad & Ashfaq Ahmad Shah & Wen Qing, 2021. "How Do Individual-Level Characteristics Influence Cross-Domain Risk Perceptions Among Chinese Urban Residents?," SAGE Open, , vol. 11(2), pages 21582440211, April.
    2. Wiens, Marcus & Mahdavian, Farnaz & Platt, Stephen & Schultmann, Frank, 2020. "Optimal evacuation-decisions facing the trade-off between early-warning precision, evacuation-cost and trust - the Warning Compliance Model (WCM)," Working Paper Series in Production and Energy 47, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    3. Victor Owusu & Kofi Adu-Boahen & Sender Kyeremeh & Innocent Demalie & Philip Eshun, 2023. "Factors influencing compliance of closed fishing season: lessons from small-scale coastal fisheries in the Central Region of Ghana," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    4. Marcel Favereau & Luis F. Robledo & MarĂ­a T. Bull, 2020. "Homeostatic representation for risk decision making: a novel multi-method simulation approach for evacuation under volcanic eruption," 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 29-56, August.
    5. C. Natalie van der Wal & Daniel Formolo & Mark A. Robinson & Steven Gwynne, 2021. "Examining Evacuee Response to Emergency Communications with Agent-Based Simulations," Sustainability, MDPI, vol. 13(9), pages 1-24, April.

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