Flood damage data analysis: towards an improvement of data quality and usability

The European project IDEA (Improving Damage assessments to Enhance cost-benefit Analyses) is a response to the limited reliability of data currently used to support cost-benefit analyses for natural hazards mitigation; in particular, an improvement of both damage data quality and procedures to colle...

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Main Authors: Molinari Daniela, Prades Rafael, Garcia-Fernandez Mariano, Dolan Martin, Menoni Scira, Marcellini Daniela
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:E3S Web of Conferences
Online Access:http://dx.doi.org/10.1051/e3sconf/20160705009
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spelling doaj-f35b70256c98427e9095f4fee2e037fe2021-04-02T10:26:01ZengEDP SciencesE3S Web of Conferences2267-12422016-01-0170500910.1051/e3sconf/20160705009e3sconf_flood2016_05009Flood damage data analysis: towards an improvement of data quality and usabilityMolinari Daniela0Prades Rafael1Garcia-Fernandez Mariano2Dolan Martin3Menoni Scira4Marcellini Daniela5Politecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da VinciPolitecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da VinciPolitecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da VinciPolitecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da VinciPolitecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da VinciPolitecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da VinciThe European project IDEA (Improving Damage assessments to Enhance cost-benefit Analyses) is a response to the limited reliability of data currently used to support cost-benefit analyses for natural hazards mitigation; in particular, an improvement of both damage data quality and procedures to collect and manage them is pursued by the project. A comprehensive understanding of (i) how disaster data are presently collected and stored, (ii) main reasons for data collection, (iii) possible uses of collected data, and (iv) stakeholders involved in data collection and management is the first step to improve the present quality, reliability and usability of data. To this aim, several case studies were analysed in the project referring to different hazards, countries and spatial scale. The analysis brought, for each case study, to (i) the characterisation of data owners, data collectors, and data users, and (ii) a critical analysis of damage data in terms of their comprehensiveness in reproducing observed impacts, data sources, formats and level of detail. This paper discusses results obtained for the floods that hit the Umbria Region (Central Italy) in 2012 and 2013, as emblematic of the different case studies analysed in the project. First, the methodological approach followed in the analysis is disclosed. Then, results are presented. Finally, their implication for the project objective are discussed.http://dx.doi.org/10.1051/e3sconf/20160705009
collection DOAJ
language English
format Article
sources DOAJ
author Molinari Daniela
Prades Rafael
Garcia-Fernandez Mariano
Dolan Martin
Menoni Scira
Marcellini Daniela
spellingShingle Molinari Daniela
Prades Rafael
Garcia-Fernandez Mariano
Dolan Martin
Menoni Scira
Marcellini Daniela
Flood damage data analysis: towards an improvement of data quality and usability
E3S Web of Conferences
author_facet Molinari Daniela
Prades Rafael
Garcia-Fernandez Mariano
Dolan Martin
Menoni Scira
Marcellini Daniela
author_sort Molinari Daniela
title Flood damage data analysis: towards an improvement of data quality and usability
title_short Flood damage data analysis: towards an improvement of data quality and usability
title_full Flood damage data analysis: towards an improvement of data quality and usability
title_fullStr Flood damage data analysis: towards an improvement of data quality and usability
title_full_unstemmed Flood damage data analysis: towards an improvement of data quality and usability
title_sort flood damage data analysis: towards an improvement of data quality and usability
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2016-01-01
description The European project IDEA (Improving Damage assessments to Enhance cost-benefit Analyses) is a response to the limited reliability of data currently used to support cost-benefit analyses for natural hazards mitigation; in particular, an improvement of both damage data quality and procedures to collect and manage them is pursued by the project. A comprehensive understanding of (i) how disaster data are presently collected and stored, (ii) main reasons for data collection, (iii) possible uses of collected data, and (iv) stakeholders involved in data collection and management is the first step to improve the present quality, reliability and usability of data. To this aim, several case studies were analysed in the project referring to different hazards, countries and spatial scale. The analysis brought, for each case study, to (i) the characterisation of data owners, data collectors, and data users, and (ii) a critical analysis of damage data in terms of their comprehensiveness in reproducing observed impacts, data sources, formats and level of detail. This paper discusses results obtained for the floods that hit the Umbria Region (Central Italy) in 2012 and 2013, as emblematic of the different case studies analysed in the project. First, the methodological approach followed in the analysis is disclosed. Then, results are presented. Finally, their implication for the project objective are discussed.
url http://dx.doi.org/10.1051/e3sconf/20160705009
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