Skip to main content
Log in

Development and Evaluation of Regional Information Sharing System (RISS) for Disaster Risk Reduction

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

Abstract

In Japan, there are many flood and tsunami disasters caused by typhoons, heavy rains and earthquakes. In this case, the residents have an evacuation time to evacuate to shelters after evacuation alerts from a governmental office. However, some people don’t try to evacuate soon. As a result, it is problem that some victims of disasters are caused because without or late evacuation and supporting. In order to prevent such a damage, we developed Regional Information Sharing System (RISS) for disaster risk reduction. The RISS includes daily required life information from regional government and regional shops, as well as disaster information, shelters’ condition and the information of support required people and support teams. In this paper, we introduce the concept of RISS and its evaluation results on a field test and the effects in a regional disaster case by multi-agent simulation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Abdullah, N. A., Nishioka, D., et al. (2017). Why I Retweet? Exploring User’s perspective on decision-making of information spreading during disasters, 50th Hawaii International Conference on System Sciences (HICSS-50).

  • Bernabé-Moreno, J., Tejeda-Lorente, A., Porcel, C., & Herrera-Viedma, E. (2018). Leveraging localized social media insights for early warning systems. International Journal of Information Technology and Decision Making (IJITDM), 17(1), 357–385.

    Article  Google Scholar 

  • Cesta, A., Cortellessa, G., & Benedictis, R. D. (2014). Training for crisis decision making- an approach based on plan adaptation. Elsevier Knowledge-Based Systems, 58, 98–112.

    Article  Google Scholar 

  • Futagami, T., Akizuki, K., Matsuyama, Y., & Kunikata, Y. (2013). Development of the Vulnerable People Supporting System for a Tsunami Refuge Area. Journal of Japan Society of Civil Engineering, 69(2), I_1–I_6 (in Japanese).

    Google Scholar 

  • Gelenbe, E., & Wu, F. J. (2012). Large scale simulation for human evacuation and rescue, Elsevier. Computers and Mathematics with Applications, 64, 3869–3880.

    Article  Google Scholar 

  • Gonzalez, J.J., Labaka, L. et al. (2016). Insights from a simulation model of disaster response: Generalization and action points, 49th Hawai International Conference on System Sciences.

  • Hawe, G. I., Coates, G., Wilson, D. T., & Crouch, R. S. (2015). Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident, Elsevier. Engineering Applications of Artificial Intelligence, 46, 336–345.

    Article  Google Scholar 

  • Hilts, S. R., Kushma, J., Plotnick, L. (2014). Use of Social Media by U.S. Public Sector Emergency Managers: Barriers and Wish Lists, Proceedings of the 11th International ISCRAM Conference.

  • Kawai, Y., Kaizu, Y.. (2019). Tsunami Evacuation Behavior and Identification of Damaged Agents, The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 4Rin 1–34, p.1–4

  • Lie, Y., Okada, N., Shen, D., & Li, S. (2009). Agent-based flood evacuation simulation of life- threatening conditions using vitae system model. Journal of Natural Disaster Science, 31(2), 69–78.

    Article  Google Scholar 

  • Lim, H., Lim, M. B., & Piantanakulchai, M. (2013). A review of recent studies on flood evacuation planning. Journal of the Eastern Asia Society for Transportation Studies, 10, 143–162.

    Google Scholar 

  • Liu, Y., Okada, N., & Takeuchi, Y. (2008). Dynamic route decision model-based multi-agent evacuation simulation – Case study of Nagata Ward, Kobe. Journal of Natural Disaster Science, 28(2), 91–98.

    Article  Google Scholar 

  • MacIver, R. M. (1917) Community, a sociological study: being an attempt to set out the nature and fundamental laws of social life.

  • Matsumoto, M., & Yatabe, R. (2008). Determinants that motivate continuous disaster- prevention activity in disaster- stricken area people (Japanese). J. JSNDS, 27-3, 319–330.

    Google Scholar 

  • Minamoto, T., Nariyuki, Y., Fujiwara, Y., & Mikami, A. (2009). Development of Tsunami Evacuation Simulation System and Its Application to Assessment of Area Refuge Safety. Journal of Japan Society of Civil Engineering, 65(1), 757–767 (in Japanese).

    Google Scholar 

  • Muraki, Y., & Kanoh, H. (2007). Multiagent Model for Wide-Area Disaster-Evacuation Simulations with Local Factors Considered. Journal of Japanese Society for Artificial Intelligent, 22(4F), 416–424 (in Japanese).

    Google Scholar 

  • Palttala, P., Boano, C., et al. (2012). Communication gaps in disaster management: Perceptions by experts from governmental and non-governmental organizations. Journal of Contingencies and Crisis Management, 20, 1,2–1,112.

  • Sasaki, J. (2017). A proposal on patient transport decision making in multiple hospitals in a large scale disaster, IFIP AICT (advances information and communication), information Technology in Disaster Risk Reduction, ITDRR 2016, Springer.

  • Tissera, P. C., Castro, A., Printista, A. M., & Luque, E. (2013). Evacuation simulation supporting high level behavior-based agents, Elsevier. Proceeding of International Conference on Computational Science ICCS, 2013(18), 1495–1504.

    Google Scholar 

  • Tsuburaoka, H., Takei, A., & Iwamoto, T. (2014). Community information as the living information - rethinking of community information – (Japanese). Tokyo University of Information Sciences, 17(2), 41–55.

    Google Scholar 

  • Tu, Y., Wang, W., & Tseng, Y. T. (2009). The essence of transformation in a self-organizing team. System Dynamics Review, 25, 135–159.

    Article  Google Scholar 

  • Turoff, M., Chumer, M., et al. (2004). The Design of a Dynamic Emergency Response Management Information System (DERMIS). Journal of Information Technology Theory and Application, 5(4), 1–35.

    Google Scholar 

  • Uno, K., & Kashiyama, K. (2008). Development of Simulation System for the Disaster Evacuation Based on Multi-Agent Model Using GIS. Tsinghua Science and Technology, ISSN 1007–0214 56/67, 13(S1), 348–353.

    Article  Google Scholar 

  • Weathernews Inc. (2011). Tsunami investigation of the great East Japan earthquake, http://weathernews.com/ja/nc/press/2011/pdf/20110908_1.pdf, last accessed 2019/07/16 (in Japanese).

Download references

Acknowledgements

We would like to thank I-O DATA Foundation for support of this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Sasaki.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sasaki, J., Kitsuya, M. Development and Evaluation of Regional Information Sharing System (RISS) for Disaster Risk Reduction. Inf Syst Front 23, 1203–1211 (2021). https://doi.org/10.1007/s10796-020-10076-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10796-020-10076-7

Keywords

Navigation