single-dr.php

JDR Vol.19 No.1 pp. 72-80
(2024)
doi: 10.20965/jdr.2024.p0072

Survey Report:

System Development for Tsunami Evacuation Drill Using ICT and Tsunami Inundation Simulation Data

Daisuke Shiozaki*,† ORCID Icon and Yuichi Hashimoto** ORCID Icon

*Seisa Dohto University
149 Nakanosawa, Kitahiroshima, Hokkaido 061-1196, Japan

Corresponding author

**Hokkaido University
Sapporo, Japan

Received:
July 31, 2023
Accepted:
January 10, 2024
Published:
February 1, 2024
Keywords:
disaster prevention, tsunami evacuation drill, visualization, GIS, GNSS
Abstract

This study aims to consider the effects and problems of a tsunami evacuation drill support system that visualizes dynamic tsunami data and evacuees’ locations. The system was developed and operated during a tsunami evacuation drill experiment. The location information application transmits evacuees’ locations in real time using the GPS and network functions of a multi-function terminal. The web application visualizes tsunami data and evacuees’ locations with animation on a web map using WebGIS. By operating the system in the tsunami evacuation experiment, the study could immediately evaluate the evacuation drills through real-time visualization of the evacuees’ actions. Feedback, including the results and evaluations of the evacuation drills, was provided to the participants. Before receiving feedback, 50% of the participants positively evaluated the drill results. However, 42.1% of the participants changed their evaluation to negative after receiving feedback. Additionally, by emphasizing the speed of action during evacuation as one of the important factors for quick evacuation, the system helped to alter participants’ disaster prevention awareness.

Cite this article as:
D. Shiozaki and Y. Hashimoto, “System Development for Tsunami Evacuation Drill Using ICT and Tsunami Inundation Simulation Data,” J. Disaster Res., Vol.19 No.1, pp. 72-80, 2024.
Data files:
References
  1. [1] P. Blaikie, T. Cannon, I. Davis, and B. Winser, “At Risk: Natural Hazards, People’s Vulnerability and Disasters,” Routledge, 1994.
  2. [2] B. Winser, P. Blaikie, T. Cannon, and I. Davis, “At Risk: Natural Hazards, People’s Vulnerability and Disasters 2nd Edition,” Routledge, 2003.
  3. [3] N. Takahashi, K. Imai, M. Ishibashi, K. Sueki, R. Obayashi, T. Tanabe, F. Tamazawa, T. Baba, and Y. Kaneda, “Real-Time Tsunami Prediction System Using DONET,” J. Disaster Res., Vol.12, No.4, pp. 766-774, 2017. https://doi.org/10.20965/jdr.2017.p0766
  4. [4] Y. Tanioka and A. R. Gusman, “Near-field tsunami inundation forecast method assimilating ocean bottom pressure data: A synthetic test for the 2011 Tohoku-oki tsunami,” Physics of the Earth and Planetary Interior, Vol.283, pp. 82-91, 2018. https://doi.org/doi.org/10.1016/j.pepi.2018.08.006
  5. [5] T. Kagawa and Y. Ohta, “Prior and Real-Time Estimations of Ground Motions, Tsunamis, and Other Geodynamic Hazards,” J. Disaster Res., Vol.15, No.2, pp. 144-151, 2020. https://doi.org/10.20965/jdr.2020.p0144
  6. [6] Y. Maeda, M. Higashida, K. Iwatsuki, T. Handa, Y. Kihara, and H. Hayashi, “Next Generation ICT Services Underlying the Resilient Society,” J. Disaster Res., Vol.5, No.6, pp. 627-635, 2010. https://doi.org/10.20965/jdr.2010.p0627
  7. [7] H. Fukuoka, “Application of ICT to Contribution to Resilient Society Against Landslides,” J. Disaster Res., Vol.5, No.6, pp. 650-656, 2010. https://doi.org/10.20965/jdr.2010.p0650
  8. [8] http://www.bousai.go.jp/jishin/nankai/taisaku_wg/pdf/20130528_honbun.pdf [Accessed September 25, 2023]
  9. [9] http://www.pref.hokkaido.lg.jp/sm/ktk/shakeout/2017.htm [Accessed September 25, 2023]
  10. [10] Y. Okuno and Y. Hashimoto, “An Analysis of Trajectory Data for Quasi Tsunami Evacuation in a Heavy Snow and Cold Area,” Theory and Applications of GIS, Vol.23, No.1, pp. 11-20, 2015. https://doi.org/doi.org/10.5638/thagis.23.11
  11. [11] Y. Okuno, D. Shiozaki, and Y. Hashimoto “Experiments of tsunami mass evacuation using GNSS and analysis of movement trajectory data,” Proc. of the Conf. on Geographic Information Systems, Vol.24, 2015.
  12. [12] Y. Okuno, D. Shiozaki, and Y. Hashimoto, “Analysis of Group Evacuation Behaviors for Tsunamis and Other Disasters Arising from Tsunamis and Landslides – A Case Study for Wakkanai City in Hokkaido, Japan –,” Proc. of the Conf. on Geographic Information Systems, Vol.28, 2019.
  13. [13] T. Sugiyama and K. Yamori, “Development and social implementation of the ‘Nige-Tore’ smartphone app for improving tsunami evacuation drills: Synergistic interactions between ‘commitment’ and ‘contingency’,” The Japanese J. of Experimental Social Psychology, Vol.58, No.2, pp. 135-146, 2019 (in Japanese). https://doi.org/10.2130/jjesp.si4-6
  14. [14] Y. Hahsimoto (Ed.), “High School Geography and GIS Education,” Kokon Shoin, 2023.
  15. [15] H. Fukada, Y. Hashimoto, A. Akabuchi, M. Oki, and Y. Okuno, “Proposal of a tsunami evacuation support system using tablet PCs,” Proc. of the Symp. on Multimedia, Distributed, Cooperative and Mobile (DICOMO2013), pp. 1938-1944, 2013.
  16. [16] T. Okoshi, T. Yonezawa, S. Yamamoto, Y. Nakajima, N. Jinmu, O. Kurita, H. Nakazawa, and H. Tokuda, “EverCuate: A tsunami evacuation training system with asynchronous user participation,” Trans. of Information Processing Society of Japan, Vol.57, No.10, pp. 2143-2161, 2016 (in Japanese).
  17. [17] Y. Sun, K. Yamori, S. Suzuki, Y. Li, T. Sugiyama, S. Chizawa, T. Nishino, and K. Urabe, “Can Smartphone Apps Motivate Tsunami Evacuation?,” Trans. of Information Processing Society of Japan, Vol.58, No.1, pp. 205-214, 2017 (in Japanese).
  18. [18] A. R. Gusman and Y. Tanioka, “Effectiveness of Real-Time Near-Field Tsunami Inundation Forecasts for Tsunami Evacuation in Kushiro City,” V. Santiago-Fandiño et al. (Eds.), “Post-Tsunami Hazard,” pp. 157-177, Springer, 2014. https://doi.org/10.1007/978-3-319-10202-3_11
  19. [19] N. Ikutomi, T. Asada, B. Chawis, and M. Arimura, “Construction of a regional disaster prevention education support tool using evacuation drill probe data,” Proc. of the JSCE Hokkaido Branch, Vol.52, pp. 265-270, 2016.

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

Last updated on Feb. 19, 2024