Managing coastal flood risk to residential properties in England: integrating spatial planning, engineering and insurance
Managing coastal flood risk to residential properties in England: integrating spatial planning, engineering and insurance
Flooding is the most damaging natural hazard in England today. Coastal flood risk management aims to reduce the impacts of coastal flooding through adaptation measures including spatial planning, engineered hard and soft interventions, and insurance. Yet there are few reviews which collectively assess these measures. This paper aims to characterise and evaluate coastal flood risk management policy in England across planning, engineering and insurance approaches, focusing on their ability to manage risk to residential properties. An analysis of the literature and government reports reveals that together these management approaches address the different dimensions of flood risk. Nonetheless, the three approaches are legislated and regulated in relative isolation, and in their current formation have contrary implications for existing and future residential developments. There is also further scope to increase the resilience of planning, defence and insurance to social and environmental uncertainties in financing, governance and climate change. We recommend that future research and strategies in coastal flood risk management give greater consideration to multiple flood risk management approaches in conjunction, continuing to expand the integration between planning, engineering and insurance approaches.
Coastal flood risk management, Flood protection engineering, Insurance, Resilience, Spatial planning
Van Der Plank, Sien
de5c670f-7f26-4396-9301-a5e58dd3d77f
Brown, Sally
dd3c5852-78cc-435a-9846-4f3f540f2840
Nicholls, Robert
4ce1e355-cc5d-4702-8124-820932c57076
Van Der Plank, Sien
de5c670f-7f26-4396-9301-a5e58dd3d77f
Brown, Sally
dd3c5852-78cc-435a-9846-4f3f540f2840
Nicholls, Robert
4ce1e355-cc5d-4702-8124-820932c57076
Van Der Plank, Sien, Brown, Sally and Nicholls, Robert
(2020)
Managing coastal flood risk to residential properties in England: integrating spatial planning, engineering and insurance.
International Journal of Disaster Risk Reduction, [101961].
(doi:10.1016/j.ijdrr.2020.101961).
Abstract
Flooding is the most damaging natural hazard in England today. Coastal flood risk management aims to reduce the impacts of coastal flooding through adaptation measures including spatial planning, engineered hard and soft interventions, and insurance. Yet there are few reviews which collectively assess these measures. This paper aims to characterise and evaluate coastal flood risk management policy in England across planning, engineering and insurance approaches, focusing on their ability to manage risk to residential properties. An analysis of the literature and government reports reveals that together these management approaches address the different dimensions of flood risk. Nonetheless, the three approaches are legislated and regulated in relative isolation, and in their current formation have contrary implications for existing and future residential developments. There is also further scope to increase the resilience of planning, defence and insurance to social and environmental uncertainties in financing, governance and climate change. We recommend that future research and strategies in coastal flood risk management give greater consideration to multiple flood risk management approaches in conjunction, continuing to expand the integration between planning, engineering and insurance approaches.
Text
van der Plank et al 2020 accepted manuscript
- Accepted Manuscript
More information
Accepted/In Press date: 10 November 2020
e-pub ahead of print date: 18 November 2020
Keywords:
Coastal flood risk management, Flood protection engineering, Insurance, Resilience, Spatial planning
Identifiers
Local EPrints ID: 445256
URI: http://eprints.soton.ac.uk/id/eprint/445256
ISSN: 2212-4209
PURE UUID: 500b2623-f206-4ecc-a48e-792a03bd2980
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Date deposited: 26 Nov 2020 17:32
Last modified: 14 Dec 2024 05:01
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