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Planning Resettlement After Disasters

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  • Kanako Iuchi

Abstract

Problem, research strategy, and findings: The number of people displaced either temporarily or permanently from natural disasters has been increasing at an unprecedented rate. As a result, there is a growing need for a systematic framework of resettlement planning after disasters, to either rebuild in place (in situ) or to relocate, and whether to do so independently or collaboratively with their neighbors. To gain an in-depth understanding of how resettlement is advanced, I focus on a region in Chuetsu, Japan, supplemented with cases in New Orleans (LA) and Tohoku, Japan. Results suggest that resettlement decisions, processes, and outcomes reflect both larger socioeconomic trends and interactions between governments, communities, and households. Although the governments' speed of resettlement planning and implementation initially set the pace, informal communication within communities most influenced decision making. In addition, inherent community dynamics, especially styles of communication, directly influenced resettlement decisions and outcomes. Takeaway for practice: Although every disaster is unique in its context, communities are the key players in determining resettlement outcomes. Key points of consideration include: a) resettlement decision processes vary based on the inherent characteristics of communities; b) government officials often emphasize speed, even though it undermines overall quality of rebuilding; c) reestablishing livelihoods of equal or greater satisfaction to that before the disaster is important; and d) local communities are often capable of identifying and acting for their needs, regardless of governmental intentions. Planners need to support the establishment of a system in which communities are empowered by governments to make the most suitable decisions for sustainable livelihood recovery.

Suggested Citation

  • Kanako Iuchi, 2014. "Planning Resettlement After Disasters," Journal of the American Planning Association, Taylor & Francis Journals, vol. 80(4), pages 413-425, October.
  • Handle: RePEc:taf:rjpaxx:v:80:y:2014:i:4:p:413-425
    DOI: 10.1080/01944363.2014.978353
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    References listed on IDEAS

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    1. John F. Forester, 1999. "The Deliberative Practitioner: Encouraging Participatory Planning Processes," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561220, December.
    2. Chris Webster & Lawrence W.-C. Lai, 2003. "Property Rights, Planning and Markets," Books, Edward Elgar Publishing, number 2625.
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    1. Sara Hamideh & Jane Rongerude, 2018. "Social vulnerability and participation in disaster recovery decisions: public housing in Galveston after Hurricane Ike," 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. 93(3), pages 1629-1648, September.
    2. Jingya Tang & Lichun Sui, 2022. "Geodetector-Based Livability Analysis of Potential Resettlement Locations for Villages in Coal Mining Areas on the Loess Plateau of China," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    3. Jonas Bergmann, 2021. "Planned relocation in Peru: advancing from well-meant legislation to good practice," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 11(3), pages 365-375, September.
    4. He, Lulu, 2019. "Identifying local needs for post-disaster recovery in Nepal," World Development, Elsevier, vol. 118(C), pages 52-62.
    5. Nicholas Pinter & James C. Rees, 2021. "Assessing managed flood retreat and community relocation in the Midwest USA," 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 497-518, May.
    6. S. M. Amin Hosseini & Rama Ghalambordezfooly & Albert de la Fuente, 2022. "Sustainability Model to Select Optimal Site Location for Temporary Housing Units: Combining GIS and the MIVES–Knapsack Model," Sustainability, MDPI, vol. 14(8), pages 1-23, April.

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