What We Measure Matters: The Case of the Missing Development Data in Sendai Framework for Disaster Risk Reduction Monitoring

Autor: Michael Boyland, Wesley Webb Cheek, Holmes Páez, Giuseppe Forino, Vicente Sandoval, Claudia González-Muzzio, Jason von Meding, Isabella Tomassi, Ksenia Chmutina, Victor Marchezini, Darien Alexander Williams
Přispěvatelé: Loughborough University, University of Florida [Gainesville] (UF), Freie Universität Berlin, Stockholm Environment Institute Asia, Bangkok 10330, Thailand, University of Nottingham, UK (UON), Ritsumeikan University, Massachusetts Institute of Technology (MIT), A ´ mbito Consultores Limitada, 3565 202 Santiago, Chile, Université Lumière - Lyon 2 - UFR Temps et Territoires (UL2 UFR TT GHHAT), Université Lumière - Lyon 2 (UL2), Triangle : action, discours, pensée politique et économique (TRIANGLE), École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Pontificia Universidad Javeriana (PUJ), Centro Nacional de Monitoramento e Alertas de Desastres Naturais [Sao Paulo, Brésil] (CEMADEN), Ministério da Ciência, Tecnologia e Inovação, Centre National de la Recherche Scientifique (CNRS)-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Université Lumière - Lyon 2 (UL2)-École normale supérieure - Lyon (ENS Lyon), École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Sendai framework for disaster risk reduction
010504 meteorology & atmospheric sciences
Disaster risk reduction
media_common.quotation_subject
Geography
Planning and Development
0211 other engineering and technologies
Vulnerability
Sustainable development goals
02 engineering and technology
Management
Monitoring
Policy and Law
Development dynamics
01 natural sciences
Injustice
Article
Natural hazard
Political science
11. Sustainability
[SPI.GCIV.RISQ]Engineering Sciences [physics]/Civil Engineering/Risques
0105 earth and related environmental sciences
media_common
Sustainable development
Oppression
021110 strategic
defence & security studies
Global and Planetary Change
1. No poverty
[SHS.GEO]Humanities and Social Sciences/Geography
Hazard
Framing (social sciences)
Risk analysis (engineering)
Disaster risk root causes
Safety Research
Zdroj: International Journal of Disaster Risk Science
International Journal of Disaster Risk Science, Springer, In press, 2021 (12), pp.779-789. ⟨10.1007/s13753-021-00382-2⟩
International Journal of Disaster Risk Science, Springer, In press, ⟨10.1007/s13753-021-00382-2⟩
International Journal of Disaster Risk Science, In press, 2021 (12), pp.779-789. ⟨10.1007/s13753-021-00382-2⟩
ISSN: 2192-6395
2095-0055
Popis: The Sendai Framework for Disaster Risk Reduction 2015−2030’s (SFDRR) framing moved away from disaster risk as a natural phenomenon to the examination of the inequality and injustice at the root of human vulnerability to hazards and disasters. Yet, its achievements have not seriously challenged the long-established capitalist systems of oppression that hinder the development leading to disaster risk creation. This article is an exploratory mapping exercise of and a collective reflection on Sustainable Development Goals (SDGs) and SFDRR indicators—and their use in measuring progress towards disaster risk reduction (DRR). We highlight that despite the rhetoric of vulnerability, the measurement of progress towards DRR remains event/hazard-centric. We argue that the measurement of disaster risk could be greatly enhanced by the integration of development data in future iterations of global DRR frameworks for action.
Databáze: OpenAIRE
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