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Civil Indicator: The Resilience Index of Regional Communities to the Risks of Disasters

  • Motoko KosugiEmail author
  • Kenshi Baba
  • Mitsuru Tanaka
Chapter

Abstract

We created a public indicator as an index to measure the resilience of cities and regions against the risk of natural disasters related to climate change, as well as other risks associated with the changing social environment. The public indicator is one of the three main indicators (Baba & Tanaka 2015). In our online survey, we measured the commitment to residential areas, crises that occurred in the regions, and the vulnerabilities of the community. We selected the risks of eight natural hazards, then recruited respondents from eight cities and prefectures that have either high likelihood or a high frequency of experiencing such disasters. Our results indicate that respondents strongly recognized the risk of disasters that frequently occur in their own residential areas as crisis events rather than other disasters. Participation in community activities and a commitment to their localities were high in rural area. The recognition of vulnerability of homes and communities was low in urban areas. These results showed that resilience index of regional community in urban areas such as Sapporo City was high in the aspect of prevention, and resilience index in rural area such as Kagoshima Prefecture was high in the aspect of cooperation and reconstruction.

Keywords

Resilience Regional community Questionnaire survey Natural disaster Climate change 

Notes

Acknowledgment

This research was supported by the Environment Research and Technology Development fund (1-1304) of the Ministry of the Environment, Japan.

References

  1. Baba K, Tanaka M (2015) A concept of Resilient City and providing assessment indicators. J City Plan Inst Japan 50(1):46–53 (in Japanese)Google Scholar
  2. Imamura F (2014) What is resilience in the context of experience of the great East Japan earthquake? Oper Res 59(8):440–445 (in Japanese)Google Scholar
  3. Intergovernmental Panel on Climate Change (2014) Fifth assessment reportGoogle Scholar
  4. Ishihara Y, Nakamaru S (2007) Regarding resilience: the concept, research history, and outlook. Bulletin of Hiroshima Bunkyo Women’s College 42:53–81 (in Japanese)Google Scholar
  5. Kawakubo S, Tanaka M, Baba K (2017) Evaluation of resilience of large cities based on public statistical information. J Environ Sci 30(3):215-224 (in Japanese)Google Scholar
  6. Kulig J (1996) Surviving and thriving in the Crowsnest Pass. University of Lethbridge, Regional Centre for Health Promotion & Community Studies, LethbridgeGoogle Scholar
  7. Kulig J (2000) Community resiliency: the potential for community health nursing theory development. Public Health Nurs 17:374–385CrossRefGoogle Scholar
  8. Lee MT, Markowitz ME, Howe DP, Ko C, Leiserowitz AA (2015) Predictors of public climate change awareness and risk perception around the world. Nat Clim Chang 5(November):1014–1023CrossRefGoogle Scholar
  9. Li Y, Johnson JE, Zaval L (2011) Local warming: daily temperature change influences belief in global warming. Psychol Sci 22(4):454–459CrossRefGoogle Scholar
  10. Ministry of the Environment (2014) Regarding the fifth assessment report (AR5) of the intergovernmental panel on climate change (IPCC) (in Japanese)Google Scholar
  11. National Institute for Environmental Studies (2014) Heatstroke Patient Information Bulletin, Fiscal 2013 Report (in Japanese)Google Scholar
  12. Norris FH, Stevens SP, Pfefferbaum B, Wyche KF, Pfefferbaum RL (2008) Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. Am J Community Psychol 141:127–150CrossRefGoogle Scholar
  13. Pfefferbaum B, Reissman D, Pfefferbaum R, Klomp R, Gruwitch R (2005) Building resilience to mass trauma events. In: Doll L, Bonzo S, Mercy J, Sleet D (eds) Handbook on injury and violence interventions. Kluwer Academic Publishers, New YorkGoogle Scholar
  14. Rose A (2004) Defining and measuring economic resilience to disasters. Disaster Prev Manag Int J 13(4):307–314CrossRefGoogle Scholar
  15. Slovic P (1987) Perception of risk. Science 236(4799):280–285CrossRefGoogle Scholar
  16. Slovic P, Fischhoff B, Lichtenstein S (1979) Rating the risks. Environ Sci Policy Sustain Dev 20(3):14–39CrossRefGoogle Scholar
  17. Slovic P, Fischhoff B, Lichtenstein S (1980) Facts and fears: understanding perceived risk. Societal risk assessment, pp 181–216Google Scholar
  18. Slovic P, Fischhoff B, Lichtenstein S (1985) Regulation of risk: a psychological perspective. Regulatory policy and the social sciences, vol 241, pp 242–243Google Scholar
  19. Water and Disaster Management Bureau, Ministry of Land, Infrastructure, Transport and Tourism (2012) Drought situation throughout Japan in 2012 (in Japanese)Google Scholar
  20. Water and Disaster Management Bureau, Ministry of Land, Infrastructure, Transport and Tourism (2014) Landslide occurrence situation by prefecture in recent years (in Japanese)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Shizuoka UniversityShizuokaJapan
  2. 2.Tokyo City UniversityKanagawaJapan
  3. 3.Hosei UniversityTokyoJapan

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