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The ESPREssO Action Database

Collecting and assessing measures for disaster risk reduction and climate change adaptation

Bibliographic Data

ID22025826
AuthorsAudrey Baills (0000-0002-5958-6582, Bureau de Recherches Géologiques et Minières, corresponding author), Gilles Grandjean (0000-0002-6005-1702, Bureau de Recherches Géologiques et Minières), Aurélie Maspataud (0000-0002-0772-7777, Bureau de Recherches Géologiques et Minières), Susanne Ettinger (Bureau de Recherches Géologiques et Minières), Jaime Abad (0000-0002-2865-1660, Bureau de Recherches Géologiques et Minières), Nuwan Dias (0000-0002-4642-9975, University of Huddersfield), K Albris (0000-0002-1201-2231), Jaqueline Hemmers, Georgina Clegg (0000-0003-0736-3210, University of Huddersfield), Casimiro Martucci (0000-0002-5409-6752, University of Naples Federico II)
Year2020
Volume48
Pages101599
Publication date2020-09-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2020.101599
OpenAlexW3015194209
LanguageEN
Citations received3
References cited8

The Action Database (ADB) was developed during the ESPREssO project (Enhancing Synergies for Disaster Prevention in the European Union) in order to store and analyze relevant ideas emerging during the project to deal with the challenges. It provides the opportunity to formalize discussions and to store their content in a synthetic format, as well as to collect experiences and evaluate the impacts they had at their respective scales of implementation and on different parameters. The major aim of the ESPREssO-ADB tool, and its main innovation, is to deal with multi-hazard and multi-challenge actions, in an international context and notably in a cross-border initiative. The ESPREssO project aimed at contributing to a new strategic vision on Disaster Risk Reduction (DRR) and Climate Change Adaptation (CCA) in Europe. To do so, stakeholders working with CCA and/or DRR in Europe were consulted to identify measures boosting adaptation or societies’ resilience. Each idea, measure or comment was stored and ranked in the ADB using qualitative criteria based on the Sendai Priorities and the SHIELD model proposed by the ESPREssO Team. Each action was assessed through multi-criteria analysis and effectiveness was approached under two different angles. The first one in line with the priorities of the Sendai Framework; and the second one with the SHIELD model. This model incorporate recommendations on how to optimize risk management capabilities through DRR. Positive actions had fed the Vision Paper and Guidelines produced by the project. This paper describes in details the ADB structure and the multi-criteria analysis performed

Biology · Business · Climate change · Climate change adaptation · Computer security · Database · Disaster risk reduction · Environmental resource management · Risk assessment · Computer Science · Disaster Management and Resilience · Environmental Science · Flood Risk Assessment and Management · Landslides and related hazards · Psychology · Ecology

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    Open Access•Lynn Schueller, Laura Booth et al.•International Journal of Disaster…•2020

  • Towards a workable definition of good practice in disaster risk management

    Open Access•Tone Njølstad Slotsvik, Claudia Morsut et al.•International Journal of Disaster…•2025

  • Actionable policy responses to disaster threats – A comparative study on resilience and sustainability in global cities

    Open Access•Alexandru Bănică, Ema Corodescu-Rosca et al.•Land Use Policy•2025

  • The use of serious games in engaging stakeholders for disaster risk reduction, management and climate change adaption information elicitation

    Open Access•Kevin Fleming, Jaime Abad et al.•International Journal of Disaster…•2020

  • Integrating disaster risk reduction and climate change adaptation

    Open Access•Jörn Birkmann, Korinna von Teichman•Sustainability Science•2010

  • Reducing hazard vulnerability

    Open Access•F Thomalla, Tom Downing et al.•Disasters•2006

Citations per year0.5
Citation span2020 - 2025 (6)
Highly citedNo

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