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Factors Influencing Collaborative Activities between Non-Professional Disaster Volunteers and Victims of Earthquake Disasters

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  • Tomoko Haraoka
  • Toshiyuki Ojima
  • Chiyoe Murata
  • Shinya Hayasaka

Abstract

Background: Assistance from non-professional disaster volunteers (hereinafter, volunteers) is essential for disaster victims to recover physically and rebuild their lives; however, disaster victims in some areas are reluctant to accept assistance from volunteers. This study explored factors that may influence collaborative activities between volunteers and victims of earthquake disasters. Methods: From July to September 2008, a self-reporting questionnaire survey was conducted with all 302 leaders of neighborhood associations in a city within Niigata Prefecture at the time of the Niigataken Chuetsu-oki Earthquake in 2007. Each factor was determined based on the Health Belief Model. Multiple regression analysis was conducted, using collaborative activities as the objective variable. Results: From 261 valid responses received (response rate 86.4%), 41.3% of leaders collaborated with volunteers, and 60.2% of associations had residents who collaborated with volunteers. Collaboration with volunteers was significantly and positively related to perceived severity of an earthquake disaster (standardized partial regression coefficient β = 0.224, p

Suggested Citation

  • Tomoko Haraoka & Toshiyuki Ojima & Chiyoe Murata & Shinya Hayasaka, 2012. "Factors Influencing Collaborative Activities between Non-Professional Disaster Volunteers and Victims of Earthquake Disasters," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-8, October.
    • Handle: RePEc:plo:pone00:0047203
    DOI: 10.1371/journal.pone.0047203
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    References listed on IDEAS

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    1. Becker, M.H. & Drachman, R.H. & Kirscht, J.P., 1974. "A new approach to explaining sick-role behavior in low-income populations," American Journal of Public Health, American Public Health Association, vol. 64(3), pages 205-216.
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    Cited by:

    1. Yusuke Toyoda & Hidehiko Kanegae, 2014. "A community evacuation planning model against urban earthquakes," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(3), pages 231-249, August.
    2. Mike Lindow & David DeFranza & Arul Mishra & Himanshu Mishra, 2021. "Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives," Papers 2101.05365, arXiv.org.
    3. Tongtong Li & Qi Wang & Zheng Xie, 2019. "Disaster response knowledge and its social determinants: A cross-sectional study in Beijing, China," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-10, March.
    4. Zhixing Ma & Shili Guo & Xin Deng & Dingde Xu, 2021. "Community resilience and resident's disaster preparedness: evidence from China's earthquake-stricken areas," 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. 108(1), pages 567-591, August.
    5. Minkyung Gu & Ran Kim & Hyunjung Lee & Sohyune Sok, 2019. "Factors Influencing Disaster-Incident-Related Impacts on Korean Nursing Students," IJERPH, MDPI, vol. 16(24), pages 1-10, December.
    6. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," 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 2631-2689, September.
    7. Takako Izumi & Sangita Das & Miwa Abe & Rajib Shaw, 2022. "Managing Compound Hazards: Impact of COVID-19 and Cases of Adaptive Governance during the 2020 Kumamoto Flood in Japan," IJERPH, MDPI, vol. 19(3), pages 1-16, January.

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