C. Li
Designing an agent-based model of SMEs to assess flood response strategies and resilience
Li, C.; Coates, G.; McGuinness, M.; Johnson, N.J.
Authors
G. Coates
M. McGuinness
N.J. Johnson
Abstract
In the UK, flooding is responsible for significant losses to the economy due to the impact on businesses, the vast majority of which are Small and Medium Enterprises (SMEs). Businesses of this nature tend to lack formal plans to aid their response to and recovery from disruptive events such as flooding. This paper reports on work on how an agent-based model (ABM) is being developed based on interview data gathered from SMEs at-risk of flooding and/or have direct experience of flooding. The ABM will enable simulations to be performed allowing investigations of different response strategies which SMEs may employ to lessen the impact of flooding, thus strengthening their resilience.
Citation
Li, C., Coates, G., McGuinness, M., & Johnson, N. (2015). Designing an agent-based model of SMEs to assess flood response strategies and resilience.
Conference Name | International conference on flood resilience |
---|---|
Conference Location | Zurich, Switzerland |
Start Date | Jan 13, 2015 |
End Date | Jan 14, 2015 |
Publication Date | Jan 1, 2015 |
Deposit Date | Jan 5, 2016 |
Publicly Available Date | Jan 13, 2016 |
Publisher URL | https://www.waset.org/conference/2015/01/zurich/ICFR |
Files
Accepted Conference Proceeding
(113 Kb)
PDF
You might also like
Agent-based modelling and simulation for lecture theatre emergency evacuation
(2017)
Conference Proceeding
Solving the earthquake disaster shelter location-allocation problem using optimization heuristics
(2017)
Conference Proceeding
A design analysis of vertical stabilisers for Blended Wing Body aircraft
(2017)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search