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.

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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

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article

Advancing Sustainability and Resilience in Vulnerable Rural and Coastal Communities Facing Environmental Change with a Regionally Focused Composite Mapping Framework

Thomas O’Shea, Dónall Eoin Cross, Mark G. Macklin, Chris Thomas
Sustainability
Climate Change, Adaptation, Migration
article

Advancing Sustainability and Resilience in Vulnerable Rural and Coastal Communities Facing Environmental Change with a Regionally Focused Composite Mapping Framework

Thomas O’Shea, Dónall Eoin Cross, Mark G. Macklin, Chris Thomas
article en

Abstract

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.

SustainabilityVol. 17(17)
Aberystwyth University (GB), La Trobe University (AU), University of Namibia (NA), Massey University (NZ), University of Lincoln (GB), University of Salford (GB)
University of Bristol
Openalex Percentile: Top 68%
Climate Change, Adaptation, Migration
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Advancing Sustainability and Resilience in Vulnerable Rural and Coastal Communities Facing Environmental Change with a Regionally Focused Composite Mapping Framework — Thomas O’Shea, Dónall Eoin Cross, et al. · Sustainability (2025) | TGRS Research Map | TGRS