Harnessing trustable crowdsourcing power for flood disaster evaluation

Sajedeh Abbasi (), Hamed Vahdat-Nejad () and Hossein Moradi ()
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Sajedeh Abbasi: University of Birjand
Hamed Vahdat-Nejad: University of Birjand
Hossein Moradi: Birjand University of Technology

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 9, No 26, 8723-8741

Abstract: Abstract This paper presents a proposed information and communication technology-based system that uses a crowdsourcing model to collect and provide accurate and up-to-date information about flooded areas. The system aims to assist relief organizations to act more efficiently following a flood disaster. The system collects data related to four informational requirements: people and animals, facilities for living, medical facilities, and shelters and roads. The proposed system includes a malicious user detection algorithm to prevent inaccurate information and keep the data current. The paper also introduces an information aggregation algorithm and a user reputation score algorithm to identify high-scoring users. The three proposed algorithms are assessed using simulation, which shows that they can accurately identify malicious users and rank non-malicious users. By providing up-to-date information from flooded areas, the system can help relief organizations respond more effectively to a flood disaster.

Keywords: Disaster relief; Flood; Mobile crowdsourcing/crowdsensing; Information acquisition (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11069-024-06547-8

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