Jenkins, Katie, Surminski, Swenja 
ORCID: 0000-0003-1270-5545, Hall, Jim and Crick, Florence
(2016)
Surface water flood risk and management strategies for London: an agent-based model approach.
E3S Web of Conferences, 7.
pp. 1-10.
ISSN 2267-1242
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Abstract
Flooding is recognised as one of the most common and costliest natural disasters in England. Flooding in urban areas during heavy rainfall is known as ‘surface water flooding’, considered to be the most likely cause of flood events and one of the greatest short-term climate risks for London. In this paper we present results from a novel Agent-Based Model designed to assess the interplay between different adaptation options, different agents, and the role of flood insurance and the flood insurance pool, Flood Re, in the context of climate change. The model illustrates how investment in adaptation options could reduce London’s surface water flood risk, today and in the future. However, benefits can be outweighed by continued development in high risk areas and the effects of climate change. Flood Re is beneficial in its function to provide affordable insurance, even under climate change. However, it offers no additional benefits in terms of overall risk reduction, and will face increasing pressure due to rising surface water flood risk in the future. The modelling approach and findings are highly relevant for reviewing the proposed Flood Re scheme, as well as for wider discussions on the potential of insurance schemes, and broader multi-sectoral partnerships, to incentivise flood risk management in the UK and internationally.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.e3s-conferences.org/ |
| Additional Information: | © 2016 The Authors © CC BY 4.0 |
| Divisions: | Grantham Research Institute |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management |
| Date Deposited: | 22 Mar 2017 09:30 |
| Last Modified: | 12 Dec 2024 01:18 |
| URI: | http://eprints.lse.ac.uk/id/eprint/70116 |
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