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

id	ph-ateneo-arc.discs-faculty-pubs-1012
record_format	eprints
spelling	ph-ateneo-arc.discs-faculty-pubs-10122020-01-30T02:27:19Z Profiling Flood Risk through Crowdsourced Flood Level Reports Estuar, Ma. Regina Justina E Victorino, John Noel C 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. 2014-10-01T07:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/13 https://ieeexplore.ieee.org/document/7021800/keywords#keywords Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Floods Crowdsourcing Cities and towns Sensors Risk management Monitoring Educational institutions Computer Sciences Databases and Information Systems Education Emergency and Disaster Management
institution	Ateneo De Manila University
building	Ateneo De Manila University Library
continent	Asia
country	Philippines Philippines
content_provider	Ateneo De Manila University Library
collection	archium.Ateneo Institutional Repository
topic	Floods Crowdsourcing Cities and towns Sensors Risk management Monitoring Educational institutions Computer Sciences Databases and Information Systems Education Emergency and Disaster Management
spellingShingle	Floods Crowdsourcing Cities and towns Sensors Risk management Monitoring Educational institutions Computer Sciences Databases and Information Systems Education Emergency and Disaster Management Estuar, Ma. Regina Justina E Victorino, John Noel C Profiling Flood Risk through Crowdsourced Flood Level Reports
description	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.
format	text
author	Estuar, Ma. Regina Justina E Victorino, John Noel C
author_facet	Estuar, Ma. Regina Justina E Victorino, John Noel C
author_sort	Estuar, Ma. Regina Justina E
title	Profiling Flood Risk through Crowdsourced Flood Level Reports
title_short	Profiling Flood Risk through Crowdsourced Flood Level Reports
title_full	Profiling Flood Risk through Crowdsourced Flood Level Reports
title_fullStr	Profiling Flood Risk through Crowdsourced Flood Level Reports
title_full_unstemmed	Profiling Flood Risk through Crowdsourced Flood Level Reports
title_sort	profiling flood risk through crowdsourced flood level reports
publisher	Archīum Ateneo
publishDate	2014
url	https://archium.ateneo.edu/discs-faculty-pubs/13 https://ieeexplore.ieee.org/document/7021800/keywords#keywords
_version_	1722366499878862848

Profiling Flood Risk through Crowdsourced Flood Level Reports

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