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Agent-based modeling and simulation to assess flood preparedness and recovery of Manufacturing Small and Medium-sized Enterprises

Lookup NU author(s): Professor Graham Coates

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

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.


Publication metadata

Author(s): Coates G, Li C, Ahilan S, Wright N, Alharbi M

Publication type: Article

Publication status: Published

Journal: Engineering Applications of Artificial Intelligence

Year: 2019

Volume: 78

Pages: 195-217

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

Publisher: Elsevier

URL: https://doi.org/10.1016/j.engappai.2018.11.010

DOI: 10.1016/j.engappai.2018.11.010


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