Advancing Sustainability and Resilience in Vulnerable Rural and Coastal Communities Facing Environmental Change with a Regionally Focused Composite Mapping Framework
Rural and coastal communities in areas of socio-economic deprivation face increasing exposure to compound climate-related hazards, including flooding, erosion and extreme heat. Effective adaptation planning in these contexts requires approaches that integrate physical hazard modelling with measures of social vulnerability in a transparent and reproducible way. This study develops and applies the Adaptive and Resilient Rural-Coastal Communities in Lincolnshire (ARRCC-L) framework, a sequential process combining data collation, two-dimensional hydraulic simulation using LISFLOOD-FP, and composite vulnerability mapping. The framework is versioned and protocolised to support replication, and is applied to Lincolnshire, UK, integrating UKCP18 climate projections, high-resolution flood models, infrastructure accessibility data and deprivation indices to generate multi-scenario flood exposure assessments for 2020–2100. The findings demonstrate how open, reproducible modelling can underpin inclusive stakeholder engagement and inform equitable adaptation strategies. By situating hazard analysis within a socio-economic context, the ARRCC-L framework offers a transferable decision support tool for embedding resilience considerations into regional planning, supporting both local adaptation measures and national risk governance.
Authors
- Thomas O’Shea (ORCID: https://orcid.org/0000-0003-0484-2005)
- Dónall Eoin Cross (ORCID: https://orcid.org/0000-0002-4974-951X)
- Mark G. Macklin (ORCID: https://orcid.org/0000-0003-4167-2033)
- Chris Thomas (ORCID: https://orcid.org/0000-0003-4939-9959)
Institutions
- Aberystwyth University (GB)
- La Trobe University (AU)
- University of Namibia (NA)
- Massey University (NZ)
- University of Lincoln (GB)
- University of Salford (GB)
Publication Details
- Journal
- Sustainability
- Published
- 2025-09-08
- DOI
- https://doi.org/10.3390/su17178065
- Primary Topic
- Climate Change, Adaptation, Migration
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Bristol