single-dr.php

JDR Vol.21 No.1 pp. 151-163
(2026)

Paper:

Research of Life Recovery Process of Victims of Small and Medium-Sized Floods Using Mobile Spatial Statistics and Social Survey

Jinsaku Asano*, Shosuke Sato**,† ORCID Icon, and Fumihiko Imamura** ORCID Icon

*Department of Civil Engineering, School of Engineering, Tohoku University
468-1 Aza-Aoba, Aramaki, Aoba-ku, Sendai, Miyagi 980-8572, Japan

**International Research Institute of Disaster Science, Tohoku University
Sendai, Japan

Corresponding author

Received:
July 31, 2025
Accepted:
January 5, 2026
Published:
February 1, 2026
Keywords:
life recovery process, frequent flood, population change, mobile spatial statistics, questionnaire survey
Abstract

Focusing on small- to medium-scale floods, whose frequency is projected to increase, this study examined post-disaster population dynamics and the life recovery process of affected individuals. Analysis of mobile spatial statistics for the July 2023 Akita heavy rain showed a population decline within inundated areas and spatial variation in population changes across those areas. A questionnaire survey found that preparedness measures increased after the disaster. The results show that, although physical recovery progresses quickly in small- to medium-scale floods, the restoration of local economic activity and residents’ perceptions (the “soft” aspects) takes as long as in earthquakes or large-scale floods.

Cite this article as:
J. Asano, S. Sato, and F. Imamura, “Research of Life Recovery Process of Victims of Small and Medium-Sized Floods Using Mobile Spatial Statistics and Social Survey,” J. Disaster Res., Vol.21 No.1, pp. 151-163, 2026.
Data files:
References
  1. [1] Intergovernmental Panel on Climate Change (IPCC), “Sixth assessment report (AR6) cycle,” 2021.
  2. [2] Japan Meteorological Agency, “Global warming projection information,” Vol.9, Chapter 3, Section 3, pp. 30-31, 2017.
  3. [3] G. J. Taylor, L. Jorge, and K. A. Divine, “Quantifying hazard resilience by modeling infrastructure recovery as a resource-constrained project scheduling problem,” Natural Hazards and Earth System Science, Vol.24, No.7, pp. 2285-2302, 2024. https://doi.org/10.5194/nhess-24-2285-2024
  4. [4] W. G. Peacock, S. Van Zandt, Y. Zhang, and W. E. Highfield, “Inequities in long-term housing recovery after disasters,” J. of the American Planning Association, Vol.80, No.4, pp. 356-371, 2015. https://doi.org/10.1080/01944363.2014.980440
  5. [5] T. Yamada and Y. Karatani, “A study on trend analysis of the social scientific study of the flood considering the time axis and the identity,” J. of Japan Society for Natural Disaster Science, Vol.33, No.3, pp. 271-292, 2014 (in Japanese).
  6. [6] Kahoku Shimpo, “Many flood victims remain at home in Akita; Fears of disaster-related deaths before the harsh winter as strict ‘Deemed Temporary Housing’ rules curb uptake,” October 31, 2023.
  7. [7] S. Tatsuki, H. Hayashi, K. Yamori, R. Noda, K. Tamura, and R. Kimura, “Model building and testing of long-term life recovery processes of the survivors of the 1995 Kobe earthquake: Structural equation modeling (SEM) of the 2003 Hyogo prefecture life recovery survey,” J. of Social Safety Science, No.6, pp. 251-260, 2004 (in Japanese). https://doi.org/10.11314/jisss.6.251
  8. [8] R. Kimura and S. Ohtomo, “Life reconstruction processes of flood disaster victims in semimountainous area – A case study of Kii peninsula flood disaster (the Typhoon No.12 in 2011) in Japan –,” J. of Social Safety Science, No.21, pp. 137-147, 2013 (in Japanese). https://doi.org/10.11314/jisss.21.137
  9. [9] R. Kimura, H. Hayashi, S. Tatsuki, and K. Tamura, “Psychologically defined life reconstruction processes of disaster victims in the 1995 Hanshin-Awaji Earthquake,” J. of Social Safety Science, No.6, pp. 241-250, 2004 (in Japanese). https://doi.org/10.11314/jisss.6.241
  10. [10] S. Tsuboi, “A study on the life reconstruction and evacuation behavior in Typhoon 19 Hagibis – A case study of Utsunomiya city TOCHIGI Prefecture –,” Papers on Environmental Information Science, Vol.33, No.3, pp. 271-292, 2014 (in Japanese). https://doi.org/10.11492/ceispapers.ceis34.0_55
  11. [11] T. Kondo, M. Banba, and R. Fujii, “Relationship analysis be-tween residents’ risk perception and housing mitigation & recovery actions in flood-prone area – The case of Mabi town, Kurashiki city after the heavy rain event of July 2018 in Western Japan –,” J. of the City Planning Institute of Japan, Vol.58, No.1, pp. 58-69, 2023 (in Japanese). https://doi.org/10.11361/journalcpij.58.58
  12. [12] S. Watanabe, S. Fujimoto, Z. Wakiyama, K. Ono, N. Imai, S. Higuchi, and Y. Ishiyama, “Study on rehabilitation of houses after flood events part 1: Discussion from the viewpoint of construction works and costs,” J. of Architecture and Planning, Vol.88, No.809, pp. 2179-2187, 2023 (in Japanese). https://doi.org/10.3130/aija.88.2179
  13. [13] Climate Change Adaptation Information Platform (A-PLAT). https://adaptation-platform.nies.go.jp/ [Accessed July 30, 2025]
  14. [14] N. Matsubara, “Grasping dynamic population by ‘Mobile Spatial Statistics’: From the viewpoint of tourism disaster and stranded persons,” J. of Information Processing and Management, Vol.60, No.7, pp. 493-501, 2017 (in Japanese). https://doi.org/10.1241/johokanri.60.493
  15. [15] F. Sato, M. Chikaraishi, and A. Fujiwara, “Independent component analysis of recovery and reconstruction process by using mobile spatial statistics: A case study of landslide disaster in August 2014, Hiroshima,” J. of Social Safety Science, CD-ROM, Vol.55, 2017 (in Japanese).
  16. [16] Y. Ooyabu, M. Terada, T. Yamaguchi, S. Iwasaki, A. Hagiwara, and D. Koizumi, “Reliability assessment of mobile spatial statistics,” Technical J. of NTT Docomo, Vol.20, No.3, 2012 (in Japanese).
  17. [17] Akita Prefecture, “damage situation caused by the heavy rainfall beginning July 14, 2023 (44th Report),” 2024 (in Japanese).
  18. [18] S. Seto and J. Okuyama, “Longitudinal study on the psychological. impacts of the record-breaking heavy rainfall in Akita prefecture since July 2023: Six-month follow-up survey,” FY 2023 Research Results Report of the Study Group on the Accuracy and Advanced Utilization of Meteorological and Climatological Information in the Tohoku Region, pp. 34-37, 2024 (in Japanese).
  19. [19] Social Welfare Corporation, Akita City Council of Social Welfare, “Community Mutual Support Center.” https://www.akita-city-shakyo.jp/sasaeai/ [Accessed July 9, 2025]
  20. [20] Akita Prefecture, “Damage situation caused by the heavy rainfall beginning May 18, 2018,” 2018 (in Japanese).
  21. [21] Akita Prefecture, “Damage situation caused by the heavy rainfall beginning August 9, 2022 (11th Report),” 2022 (in Japanese).
  22. [22] B. Hong, B. J. Bonczak, A. Gupta, and C. E. Kontokosta, “Measuring inequality in community resilience to natural disasters using large-scale mobility data,” Nature Communications, Vol.12, Article No.1870, 2021.
  23. [23] Great East Japan Earthquake Life Reconstruction Survey Team, “Life reconstruction survey of the Great East Japan Earthquake five years after the disaster: 2016 survey results report,” 2018 (in Japanese).
  24. [24] S. Sato, “Primary study of a scale of attitude toward culture of living with disaster risk; Application analysis and verification toward a scale development,” J. of Social Safety Science, No.39, pp. 195-202, 2021 (in Japanese). https://doi.org/10.11314/jisss.39.195
  25. [25] K. Namikawa, N. Koyama, and T. Yamada, “Analysis of impact of catastrophic flooding on the local population and its cause,” Advances in River Engineering, Vol.28, pp. 385-390, 2022 (in Japanese). https://doi.org/10.11532/river.28.0_385
  26. [26] Okayama Prefecture, “Investigation report on the July 2018 heavy rain disaster,” 2019 (in Japanese).
  27. [27] Joso City Flood Response Investigation Committee, “Investigation report on the response to the 2015 Kinugawa river flood in Joso city,” 2016 (in Japanese).
  28. [28] Kurashiki City, “Reconstruction plan for the Mabi district,” 2024 (in Japanese).
  29. [29] Ministry of Land, Infrastructure, Transport and Tourism, Kanto Regional Development Bureau, Shimodate River Office, “Reframing the Kinu River Emergency Countermeasure Project and the Flood-Risk-Aware Society,” 2022 (in Japanese).
  30. [30] Joso City, “Joso City’s Reconstruction Plan: Five years of progress,” 2021 (in Japanese).
  31. [31] Ministry of Land, Infrastructure, Transport and Tourism, Tohoku Regional Development Bureau, Akita River and National Highway Office, “Flood-disaster countermeasure project for the lower Omono River Basin,” 2024 (in Japanese).
  32. [32] Cabinet of Japan, “Guidelines for the implementation of disaster case management,” 2024 (in Japanese).

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Feb. 04, 2026