Paper Info
Title
Simulating Spatial Dynamics and Processes in a Retail Gasoline Market: An Agent-Based Modeling Approach.
Abstract
Simulating the dynamics and processes within a spatially influenced retail market, such as the retail gasoline market, is a highly challenging research area. Current approaches are limited through their inability to model the impact of supplier or consumer behavior over both time and space. Agent-based models (ABMs) provide an alternative approach that overcomes these problems. We demonstrate how knowledge of retail pricing is extended by using a hybrid' model approach: an agent model for retailers and a spatial interaction model for consumers. This allows the issue of spatial competition between individual retailers to be examined in a way only accessible to agent-based models, allowing each model retailer autonomous control over optimizing their price. The hybrid model is shown to be successful at recreating spatial pricing dynamics at a national scale, simulating the effects of a rise in crude oil prices as well as accurately predicting which retailers were most susceptible to closure over a 10-year period.
Year
DOI
Venue
2013
10.1111/tgis.12027
TRANSACTIONS IN GIS
DocType
Volume
Issue
Journal
17
5
ISSN
Citations 
PageRank 
1361-1682
2
0.41
References 
Authors
8
4
Name
Order
Citations
PageRank
Alison J. Heppenstall17412.03
Kirk Harland2203.35
Andrew N. Ross320.41
Dan Olner460.98