Crowd-movement-based Geofence-construction method for urban flood response

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 crowdmovement-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.

Publication Details

Journal
KSII Transactions on Internet and Information Systems
Published
2024-12-31
DOI
https://doi.org/10.3837/tiis.2024.12.007
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Crowd-movement-based Geofence-construction method for urban flood response

KSII Transactions on Internet and Information Systems
Evacuation and Crowd Dynamics
article

Crowd-movement-based Geofence-construction method for urban flood response

article en

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 crowdmovement-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.

KSII Transactions on Internet and Information SystemsVol. 18(12)
Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology, Korea Institute of Science and Technology, Korea Institute of Science and Technology Information
Climate action
Openalex Percentile: Top 67%
Evacuation and Crowd Dynamics
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