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Harnessing trustable crowdsourcing power for flood disaster evaluation

Author

Listed:
  • Sajedeh Abbasi

    (University of Birjand)

  • Hamed Vahdat-Nejad

    (University of Birjand)

  • Hossein Moradi

    (Birjand University of Technology)

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.

Suggested Citation

  • Sajedeh Abbasi & Hamed Vahdat-Nejad & Hossein Moradi, 2024. "Harnessing trustable crowdsourcing power for flood disaster evaluation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(9), pages 8723-8741, July.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:9:d:10.1007_s11069-024-06547-8
    DOI: 10.1007/s11069-024-06547-8
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    References listed on IDEAS

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    1. Yaela N. Golumbic & Kymberley R. Scroggie & Ciara R. Kenneally & Jiarun Lin & Mitchell T. Blyth & Genevieve Firmer & Peter J. Rutledge & Alice Motion, 2023. "Meet the Medicines—A Crowdsourced Approach to Collecting and Communicating Information about Essential Medicines Online," IJERPH, MDPI, vol. 20(5), pages 1-15, February.
    2. Hamid Bahadori & Hamed Vahdat-Nejad & Hossein Moradi, 2022. "CrowdBIG: crowd-based system for information gathering from the earthquake environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3719-3741, December.
    3. Neumayer, Eric & Plümper, Thomas & Barthel, Fabian, 2014. "The political economy of natural disaster damage," LSE Research Online Documents on Economics 50699, London School of Economics and Political Science, LSE Library.
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