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Agent-based modeling and simulation to assess flood preparedness and recovery of manufacturing small and medium-sized enterprises.

Authors :
Coates, Graham
Li, Chunhui
Ahilan, Sangaralingam
Wright, Nigel
Alharbi, Meshal
Source :
Engineering Applications of Artificial Intelligence. Feb2019, Vol. 78, p195-217. 23p.
Publication Year :
2019

Abstract

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. Highlights • Agent based approach to assess flood preparedness measures on SMEs' recovery from flooding. • Over 100 semi-structured interviews used to develop agents representing manufacturing SMEs. • A one in 1000 year flood event modeled and simulated to enable SMEs affected to be identified. • Physical measures more effective than social measures in reducing damage and disruption to SMEs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09521976
Volume :
78
Database :
Academic Search Index
Journal :
Engineering Applications of Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
133750458
Full Text :
https://doi.org/10.1016/j.engappai.2018.11.010