Fuel Panics: Insights From Spatial Agent-Based Simulation | IEEE Journals & Magazine – Upton and Nuttall (2014)

A friend on facebook wrote:

A very smart friend of mine once co-wrote a paper simulating various things to do with petrol shortages and looking at policy options and an interesting thing they came up with was the idea of having a MINIMUM ration – eg if you have to take at least £30 of petrol in one go then it stops the “topping off” behaviour which can lead to queues at forecourts. Basically a fuel panic transfers fuel stocks from garage tanks to the tanks of “lucky” motorists and there is a huge national capacity in fuel tanks which aren’t normally filled. This leads to problems downstream when many people are using up the stock in their car and so there is a dip in demand at the filling stations and delivery schedules get disrupted.

Pdf: https://ieeexplore.ieee.org.sci-hub.se/document/6746154?fbclid=IwAR3ZKBUyR6mcfi0NLOHGQW8MPUilpe5WGF12hzO8P6BJdg0lEpHDFYm90tA

Fuel Panics: Insights From Spatial Agent-Based Simulation Publisher: IEEE Cite This PDF Eben Upton; William James Nuttall All Authors 6 Paper Citations 517 Full Text Views Abstract Document Sections I. Introduction II. Fuel Panics: The U.K. Experience III. Agent-Based Simulation Authors Figures References Citations Keywords Metrics Footnotes 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. Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 15, Issue: 4, Aug. 2014)

Fuel Panics: Insights From Spatial Agent-Based Simulation | IEEE Journals & Magazine | IEEE Xplore

Fuel Panics: Insights From Spatial Agent-Based Simulation

Publisher: IEEECite This

PDF

Eben UptonWilliam James Nuttall


AbstractDocument Sections

AuthorsFiguresReferencesCitationsKeywordsMetricsFootnotesAbstract: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.Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 15, Issue: 4, Aug. 2014)