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

  • Graham Coates
  • , Chunhui Li
  • , Sangaralingam Ahilan
  • , Nigel Wright
  • , Meshal Alharbi

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

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.

Original languageEnglish
Pages (from-to)195-217
Number of pages23
JournalEngineering Applications of Artificial Intelligence
Volume78
DOIs
StatePublished - Feb 2019
Externally publishedYes

Keywords

  • Agent-based modeling/simulation
  • Flood preparedness/recovery
  • SMEs

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