An Induction Scheme of Fast Initiative-Evacuation Based on Social Graphs


Taiyo Ichinose, Tomoya Kawakami, Journal of Information Processing Systems Vol. 18, No. 6, pp. 770-783, Dec. 2022  

https://doi.org/10.3745/JIPS.04.0261
Keywords: Disaster Prevention, Evacuation Guidance, Multi-Agent Simulation (MAS), SNS, Social Network
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Abstract

Early evacuations reduce the damage caused by catastrophic events such as terrorism, tsunamis, heavy rains, landslides, and river floods. However, even when warnings are issued, people do not easily evacuate during these events. To shorten the evacuation time, initiative-evacuation and its executors, initiative evacuees, are crucial in inducing other evacuations. The initiative evacuees take the initiative in evacuating and call out to their surroundings. This paper proposes a fast method to induce initiative-evacuation based on social graphs. The candidates are determined in descending order of the number of links for each person. The proposed method was evaluated through simulations. The simulation results showed a significant reduction in evacuation time.


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Cite this article
[APA Style]
Ichinose, T. & Kawakami, T. (2022). An Induction Scheme of Fast Initiative-Evacuation Based on Social Graphs. Journal of Information Processing Systems, 18(6), 770-783. DOI: 10.3745/JIPS.04.0261.

[IEEE Style]
T. Ichinose and T. Kawakami, "An Induction Scheme of Fast Initiative-Evacuation Based on Social Graphs," Journal of Information Processing Systems, vol. 18, no. 6, pp. 770-783, 2022. DOI: 10.3745/JIPS.04.0261.

[ACM Style]
Taiyo Ichinose and Tomoya Kawakami. 2022. An Induction Scheme of Fast Initiative-Evacuation Based on Social Graphs. Journal of Information Processing Systems, 18, 6, (2022), 770-783. DOI: 10.3745/JIPS.04.0261.