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Vulnerability and vulnerable groups from an intersectionality perspective
Open accessAbstract
In general, the identification and protection of vulnerable groups in the case of hazards or when a crisis unfolds is an issue that any crisis and disaster risk management should address, since people have different levels of exposure to hazards and crises. In this article, we promote the application of the intersectionality perspective in the study of vulnerable groups, and we call for intersectionality as a guiding principle in risk and crisis management, to provide a better and more nuanced picture of vulnerabilities and vulnerable groups. This can help national and local authorities and agencies to formulate specific guides, to hire staff with the skills necessary to meet particular needs, and to inform vulnerable groups in a particular way, taking into account the differences that may coexist within the same group. Intersectionality allows us to read vulnerability not as the characteristic of some socio-demographic groups. It is rather the result of different and interdependent societal stratification processes that result in multiple dimensions of marginalisation. In this vein, we argue that research should focus on 1) self-perceived vulnerability of individuals and an intersectionality approach to unpack vulnerable groups; 2) cases of crises according to the level and/or likelihood of individual exposure to hazards, to better nuance issues of vulnerability.
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“Thus, the integration of an intersectional perspective is essential as it helps analyze and understand the ways in which axes of social inequality intersect with climate impacts, hazards, and crises to create diverse experiences of oppression and vulnerability in different contexts (Kuran et al., 2020;Ravera et al., 2016a).”
From Intersectional climate justice: A conceptual pathway for bridging adaptation planning, transformative action, and social equity (2022) · cites this paper as Kuran et al., 2020
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Metadata
- Authors
- Kuran, C. H. A., Morsut, C., Kruke, B. I., Krüger, M., Segnestam, L., Orru, K., Nævestad, T. O., Airola, M., Keränen, J., Gabel, F., Hansson, S., & Torpan, S.
- Affiliations
- University of Stavanger (NO)
- University of Tübingen (DE)
- Stockholm Environment Institute (SE)
- University of Tartu (EE)
- Institute of Transport Economics (NO)
- VTT Technical Research Centre of Finland (FI)
- Corresponding author
- Kuran, Christian Henrik Alexander
- ORCID
- Venue
- International Journal of Disaster Risk Reduction
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 50
- Pages
- 101826
- ISSN
- 2212-4209 (ISSN-L)
- OpenAlex
- W3092343157
- Cited by
- 349
- References
- 48
- Citations by year
- 2026: 63 · 2025: 85 · 2024: 79 · 2023: 67 · 2022: 35 · 2021: 19 · 2020: 1
- FWCI
- 40.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- International Journal of Disaster Risk Reduction (publishedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Funders
- Horizon2020 project BuildERS (833496)
- Topics
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Resilience and Vulnerability Analysis
- Social Sciences › Geography, Planning and Development › Earthquake and Disaster Impact Studies
- Keywords
- intersectionality, vulnerable populations, vulnerability, crisis management, disaster risk management, marginalization, hazard exposure, risk management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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