Profiling Flood Risk through Crowdsourced Flood Level Reports

Profiling Flood Risk through Crowdsourced Flood Level Reports

Disaster risk reduction and management, which includes flood risk management, is among the top priorities in the Philippines. In the process of contributing to flood monitoring and public awareness, FloodPatrol, an Android mobile phone application, allows the "crowd" to report flood levels...

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Bibliographic Details
Main Authors: Estuar, Ma. Regina Justina E, Victorino, John Noel C
Format: text
Published: Archīum Ateneo 2014
Subjects:
Floods
Crowdsourcing
Cities and towns
Sensors
Risk management
Monitoring
Educational institutions
Computer Sciences
Databases and Information Systems
Education
Emergency and Disaster Management
Online Access:https://archium.ateneo.edu/discs-faculty-pubs/13
https://ieeexplore.ieee.org/document/7021800/keywords#keywords
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Institution: Ateneo De Manila University
Description
Summary:Disaster risk reduction and management, which includes flood risk management, is among the top priorities in the Philippines. In the process of contributing to flood monitoring and public awareness, FloodPatrol, an Android mobile phone application, allows the "crowd" to report flood levels in various locations. However, a crowdsourcing-based approach poses the challenge to the credibility of the crowdsourced data. Towards the goal of having a validation model using crowdsourced flood level reports, this study presents two results. First, that there is a significant difference between "No Flood" reports and "Flood-leveled" reports. Second, that there are four possible distinct groups shown in profiling the flood reports by location.

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