Coates, G, Hawe, GI, Wright, NG et al. (1 more author) (2014) Agent-based Modelling And Inundation Prediction To Enable The Identification Of Businesses Affected By Flooding. In: Proverbs,, D and Brebbia, CA, (eds.) WIT Transactions on Ecology and the Environment. FRIAR 2014: 4th International Conference on Flood Recovery, Innovation and Response, 18-20 Jun 2014, Poznan, Poland. WIT Press , pp. 13-22. ISBN 978-1-84564-784-1
Abstract
Flooding continues to cause significant disruption to individuals, organisations and communities in many parts of the world. In terms of the impact on businesses in the United Kingdom (UK), flooding is responsible for the loss of millions of pounds to the economy. As part of a UK Engineering and Physical Sciences Research Council funded project on flood risk management, SESAME, research is being carried out with the aim of improving business response to and preparedness for flood events. To achieve this aim, one strand of the research is focused on establishing how agent-based modelling and simulation can be used to evaluate and improve business continuity. This paper reports on the development of the virtual geographic environment (VGE) component of an agent-based model and how this has been combined with inundation prediction to enable the identification of businesses affected by flooding in any urban area of the UK. The VGE has been developed to use layers from Ordnance Survey’s MasterMap, namely the Topography Layer, Integrated Transport Network Layer and Address Layer 2. Coupling the VGE with inundation prediction provides credibility in modelling flood events in any area of the UK. An initial case study is presented focusing on the Lower Don Valley region of Sheffield leading to the identification of businesses impacted by flooding based on a predicted inundation. Further work will focus on the development of agents to model and simulate businesses during and in the aftermath of flood events such that changes in their behaviours can be investigated leading to improved operational response and business continuity.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © 2014 WIT Press. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | floods; businesses; agent-based modelling and inundation prediction |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) > Inst for Pathogen Control Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Jan 2015 10:40 |
Last Modified: | 27 May 2019 10:16 |
Status: | Published |
Publisher: | WIT Press |
Identification Number: | 10.2495/FRIAR140021 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82640 |