Research Article
Retail Location Choice with Complementary Goods: An Agent-Based Model
@INPROCEEDINGS{10.1007/978-3-642-02466-5_15, author={Arthur Huang and David Levinson}, title={Retail Location Choice with Complementary Goods: An Agent-Based Model}, proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1}, proceedings_a={COMPLEX PART 1}, year={2012}, month={5}, keywords={clustering agent-based model location choice distribution pattern}, doi={10.1007/978-3-642-02466-5_15} }- Arthur Huang
David Levinson
Year: 2012
Retail Location Choice with Complementary Goods: An Agent-Based Model
COMPLEX PART 1
Springer
DOI: 10.1007/978-3-642-02466-5_15
Abstract
This paper models the emergence of retail clusters on a supply chain network comprised of suppliers, retailers, and consumers. Firstly, an agent-based model is proposed to investigate retail location distribution in a market of two complementary goods. The methodology controls for supplier locales and unit sales prices of retailers and suppliers, and a consumer’s willingness to patronize a retailer depends on the total travel distance of buying both goods. On a circle comprised of discrete locations, retailers play a non-cooperative game of location choice to maximize individual profits. Our findings suggest that the probability distribution of the number of clusters in equilibrium follows power law and that hierarchical distribution patterns are much more likely to occur than the spread-out ones. In addition, retailers of complementary goods tend to co-locate at supplier locales. Sensitivity tests on the number of retailers are also performed. Secondly, based on the County Business Patterns (CBP) data of Minneapolis-St. Paul from US Census 2000 database, we find that the number of clothing stores and the distribution of food stores at the zip code level follows power-law distribution.