Vol. 18, No. 12, December 31, 2024
10.3837/tiis.2024.12.007,
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Abstract
Disasters that occur in modern cities are considered complex disasters because of several urban factors. One type of disaster that exemplifies this complexity is urban flooding, which causes long-term consequences for urban facilities, is an example of such a complex disaster. Floods evolved into complex disasters because of various social and urban factors, resulting in extensive harm to urban facilities and resources. This paper proposes a crowd-movement-based geofence-construction method for collective-intelligence-based evacuation in flooding scenarios. The proposed method can be used to perform area construction based on prior flood predictions, capture crowd movements during disasters,
and block roads in urban built environments. This paper presents a qualitative analysis of the area and road construction for four scenarios of agent evacuation strategies and a quantitative analysis of the effect of the proposed method. The results demonstrate that evacuation routes are more effective when the user movements are based on road networks.
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Cite this article
[IEEE Style]
H. Kang, K. Kim, M. Yang, K. L. Man, M. Kim, "Crowd-movement-based Geofence-construction method for urban flood response," KSII Transactions on Internet and Information Systems, vol. 18, no. 12, pp. 3470-3490, 2024. DOI: 10.3837/tiis.2024.12.007.
[ACM Style]
Hyonjun Kang, Kwangyoung Kim, Myungseok Yang, Ka Lok Man, and Mucheol Kim. 2024. Crowd-movement-based Geofence-construction method for urban flood response. KSII Transactions on Internet and Information Systems, 18, 12, (2024), 3470-3490. DOI: 10.3837/tiis.2024.12.007.
[BibTeX Style]
@article{tiis:101749, title="Crowd-movement-based Geofence-construction method for urban flood response", author="Hyonjun Kang and Kwangyoung Kim and Myungseok Yang and Ka Lok Man and Mucheol Kim and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2024.12.007}, volume={18}, number={12}, year="2024", month={December}, pages={3470-3490}}