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Lookup NU author(s): Professor Graham Coates
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
Severe flooding has caused major damage and disruption to households, communities, businesses, and organizations in many parts of the world. In the United Kingdom (UK), flooding has been responsible for significant losses to the economy due to its impact on businesses, 99.9% of which are Small and Medium-sized Enterprises (SMEs). This paper reports on how agent-based modeling and simulation has been developed and used to assess the effectiveness of a range of physical/structural and social preparedness adaptation measures that can be implemented by manufacturing SMEs to reduce the impact of and expedite recovery from a major flood event. Results indicate the effectiveness of combinations of these adaptation measures in relation to a one in 1000 year flood event that has been modeled and simulated in a key industrial area of the UK which, in addition to having experienced severe flooding, has a high concentration of SMEs.
Author(s): Coates G, Li C, Ahilan S, Wright N, Alharbi M
Publication type: Article
Publication status: Published
Journal: Engineering Applications of Artificial Intelligence
Print publication date: 01/02/2019
Online publication date: 10/12/2018
Acceptance date: 21/11/2018
Date deposited: 11/12/2018
ISSN (print): 0952-1976
ISSN (electronic): 1873-6769
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