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Fuel panics: insights from spatial agent-based simulation

Upton, Eben and Nuttall, William James (2014). Fuel panics: insights from spatial agent-based simulation. IEEE Transactions on Intelligent Transportation Systems, 15(4) pp. 1499–1509.

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The United Kingdom has twice suffered major disruptions as a result of fuel panics, first in September 2000, coincident with a wave of fuel protests, and, more recently, in March 2012, following political warnings of a possible future supply chain disruption. In each case, the disruption and economic consequences were serious. In this paper, we demonstrate that agent-based techniques offer a powerful framework for simulation of supply chains and consumers under conditions of transient demand. In the case of fuel panic crisis, we show that even a highly abstract model can reproduce a range of transient phenomena seen in the real world and present a set of practical recommendations for policymakers faced with panic buying.

Item Type: Journal Item
Copyright Holders: 2014 IEEE
ISSN: 1558-0016
Keywords: multi-agent systems; petroleum industry; road transportation; robustness; sociotechnical systems; supply and demand; supply chain management
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
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Item ID: 40918
Depositing User: William Nuttall
Date Deposited: 19 Sep 2014 13:29
Last Modified: 29 May 2019 14:25
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