Does flood risk funding protect the most vulnerable? A case study of England

Datos Bibliográficos

ID12665683
AutoresAnna E Goodden (0009-0001-4518-4742, King's College London), Jack J Porter (0000-0002-5442-5544, King's College London), Francesca Pia Vantaggiato (0000-0003-1154-4540, King's College London, autor de correspondencia)
Año2024
Volumen157
Páginas103781-103781
Fecha de publicación2024-05-08
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnvironmental Science & Policy (JOURNAL)
Identificadores de la revistaISSN: 1462-9011 • E-ISSN: 1873-6416
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.envsci.2024.103781
OpenAlexW4396719688
IdiomaEN
Citas recibidas3
Referencias citadas25

Not only has the frequency and severity of flooding increased under climate change, but which communities are at-risk and how those risks are distributed within communities has changed too. This realisation points to an important interplay between exposure (risk) and social vulnerability. Who is vulnerable? Answering this question is far from straightforward as different vulnerability indicators identify different groups across different scales. This paper addresses this issue. Using the empirical case of England, the spatial distribution of flood risk at different administrative scales is analysed in relation to the Environment Agency (EA) allocation of flood funding between 2015 and 2021. We find that Upper-tier Local Authority Districts with higher levels of both flood risk and social vulnerability received more funding in the period considered. Yet, that is not the scale at which flood scheme funding decisions are made. Flood schemes are decided at the local level, but funding data for smaller administrative scales is not available. Different understandings of vulnerability, the Modifiable Areal Unit Problem (MAUP), and issues around data transparency and availability in flood risk management, need to be urgently addressed

Business · Environmental planning · Environmental resource management · Flood myth · Geography · New england · Political science · Disaster Management and Resilience · Environmental Science · Flood Risk Assessment and Management · Hydrology and Drought Analysis