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.

DOI: https://doi.org/10.1109/TITS.2014.2302358

Abstract

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.

Viewing alternatives

Look up in Google Scholar

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions
No digital document available to download for this item

Item Actions

Export

About

CORE (COnnecting REpositories)

Recommendations