Agent-based socio-spatial modelling of coupled human-flood interactions along the UK coast

Abstract This study uses agent-based modelling (ABM) to assess the socio-hydrological impacts of structural coastal flood protections (SCFPs) under different climate change scenarios considering three contrasting UK case studies: Southport, Weston-super-Mare (WSM), and Portsmouth. By integrating extreme coastal water level (ECWL) projections and population dynamics, the ABM simulations reveal five distinct phases: Design, Implementation, Latency, Flood , and Post-Flood . The results highlight that the Latency phase, whereby SCFP initially stabilises affected population (AfP), inadvertently encourages population growth in residual risk areas. This process exacerbates long-term flood exposure, leading to significant increases in AfP when ECWL exceeds the SCFP crest height, negating gains in flood protection from the initial construction/upgrade. As such, Southport and WSM saw a significant increase in coastal population within protected floodplains, with these populations potentially having limited experience with flooding, preparedness, and consequently heightened vulnerability. Conversely, Portsmouth, with limited residential development near SCFPs, demonstrated how existing land-use and high population density can reduce the unintended socio-hydrological consequences of SCFPs in densely-populated coastal settings. These findings reveal two key pathways that influence coastal population in response to SCFPs: Land-use Driven , where non-residential land-use limits population increase, and Population Driven , where high-density areas limit further growth. This study advances our understanding of the coupled human-flood dynamics by evaluating how SCFPs can increase flood impacts in the long-term by influencing socio-spatial distribution over the short- to medium-term. Moreover, it demonstrates how ABMs can provide valuable insights by simulating complex coupled human-flood dynamics; critical for supporting adaptive, resilient coastal management strategies in a changing climate.

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Publication Details

Journal
Environmental Research Infrastructure and Sustainability
Published
2025-05-30
DOI
https://doi.org/10.1088/2634-4505/addeeb
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Agent-based socio-spatial modelling of coupled human-flood interactions along the UK coast

Carola S. König, Morgan J. Breen, Abiy S. Kebede
Environmental Research Infrastructure and Sustainability
Flood Risk Assessment and Management
article

Agent-based socio-spatial modelling of coupled human-flood interactions along the UK coast

Carola S. König, Morgan J. Breen, Abiy S. Kebede
article en

Abstract

Abstract This study uses agent-based modelling (ABM) to assess the socio-hydrological impacts of structural coastal flood protections (SCFPs) under different climate change scenarios considering three contrasting UK case studies: Southport, Weston-super-Mare (WSM), and Portsmouth. By integrating extreme coastal water level (ECWL) projections and population dynamics, the ABM simulations reveal five distinct phases: Design, Implementation, Latency, Flood , and Post-Flood . The results highlight that the Latency phase, whereby SCFP initially stabilises affected population (AfP), inadvertently encourages population growth in residual risk areas. This process exacerbates long-term flood exposure, leading to significant increases in AfP when ECWL exceeds the SCFP crest height, negating gains in flood protection from the initial construction/upgrade. As such, Southport and WSM saw a significant increase in coastal population within protected floodplains, with these populations potentially having limited experience with flooding, preparedness, and consequently heightened vulnerability. Conversely, Portsmouth, with limited residential development near SCFPs, demonstrated how existing land-use and high population density can reduce the unintended socio-hydrological consequences of SCFPs in densely-populated coastal settings. These findings reveal two key pathways that influence coastal population in response to SCFPs: Land-use Driven , where non-residential land-use limits population increase, and Population Driven , where high-density areas limit further growth. This study advances our understanding of the coupled human-flood dynamics by evaluating how SCFPs can increase flood impacts in the long-term by influencing socio-spatial distribution over the short- to medium-term. Moreover, it demonstrates how ABMs can provide valuable insights by simulating complex coupled human-flood dynamics; critical for supporting adaptive, resilient coastal management strategies in a changing climate.

Environmental Research Infrastructure and SustainabilityVol. 5(2)
Brunel University of London (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 88%
Flood Risk Assessment and Management
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