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.
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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.
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.
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).
Gelenbe, E., & Wu, F. J. (2012). Large scale simulation for human evacuation and rescue, Elsevier. Computers and Mathematics with Applications, 64, 3869–3880.
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.
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.
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.
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.
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.
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).
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).
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.
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.
Tu, Y., Wang, W., & Tseng, Y. T. (2009). The essence of transformation in a self-organizing team. System Dynamics Review, 25, 135–159.
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.
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.
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).
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We would like to thank I-O DATA Foundation for support of this research.
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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
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DOI: https://doi.org/10.1007/s10796-020-10076-7