DocumentCode :
242740
Title :
Profiling Flood Risk through Crowdsourced Flood Level Reports
Author :
Victorino, John Noel C. ; Estuar, Ma Regina Justina E.
Author_Institution :
Dept. of Inf. Syst. & Comput. Sci., Ateneo de Manila Univ., Quezon City, Philippines
fYear :
2014
fDate :
28-30 Oct. 2014
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
emergency management; floods; mobile computing; risk management; smart phones; Android mobile phone application; FloodPatrol; No Flood reports; Philippines; crowdsourced data credibility; crowdsourced flood level reports; disaster risk management; disaster risk reduction; flood monitoring; flood risk management; flood risk profiling; public awareness; validation model; Cities and towns; Crowdsourcing; Educational institutions; Floods; Monitoring; Risk management; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT Convergence and Security (ICITCS), 2014 International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ICITCS.2014.7021800
Filename :
7021800
Link To Document :
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