Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Authors
Kang, HyonjunKim, KwangyoungYang, MyungseokMan, Ka LokKim, Mucheol
Issue Date
Dec-2024
Publisher
Korean Society for Internet Information
Keywords
Crowdsourcing; Disaster response; Geofence; Urban flood
Citation
KSII Transactions on Internet and Information Systems, v.18, no.12, pp 3470 - 3490
Pages
21
Journal Title
KSII Transactions on Internet and Information Systems
Volume
18
Number
12
Start Page
3470
End Page
3490
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/78953
DOI
10.3837/tiis.2024.12.007
ISSN
1976-7277
1976-7277
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. © 2024 Korean Society for Internet Information. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Mu Cheol photo

Kim, Mu Cheol
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE