Agent-Based Simulation and Modeling of Retail Center Systems
Publication: Journal of Urban Planning and Development
Volume 142, Issue 1
Abstract
Central Place Theory has been proposed for a long time, but it is rarely applied in empirical research or planning practices on retail center systems in the real world primarily attributable to the complexities that are too difficult for the theory to capture and replicate in efficient ways. This paper proposes an agent-based simulation system which can derive spatial distributions of multilevel retail centers by simulating the interactions between retail centers and consumers. In the simulation, the retail centers can grow, recess, and adjust locations according to the revenues; the consumers generate different levels of shopping demands and choose retail centers according to spatial distance. By recursively simulating the interactions, equilibrium is reached with the distribution of emerging retail centers. The system is validated by examining the simulated retail center systems under five hypothetical but typical scenarios of consumer spatial distribution. It is also applied in modeling the retail center system of Shanghai in the 2000s. The results show a face validity of the simulation system as a potential tool for real-world planning practices.
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Acknowledgments
The study is part of the research project “Research on Multi-Agent-Based Simulation System of Urban Retail Systems,” supported by the Startup Fund for Scholars Returning from Overseas Studies, Ministry of Education of China, and Cultivation Action Plan for Young Talents (No. 0100219087), Tongji University.
References
Aksu, D. T., and Ocak, Z. (2012). “Location of municipal centers for new counties within the Istanbul Metropolitan municipality.” J. Urban Plan. Dev., 143–152.
Arentze, T., Borgers, A., and Timmermans, H. (1993). “A model of multi-purpose shopping trip behaviour.” Reg. Sci., 72(3), 239–256.
Arentze, T. A., Oppewal, H., and Timmermans, H. J. P. (2005). “A multipurpose shopping trip model to assess retail agglomeration effects.” J. Market. Res., 42(1), 109–115.
Banos, A., Moreno, D., and Taillandier, C. P. E. P. (2011). “Christaller, still alive!.” Eur. J. Geogr.
Berry, B. J. L. (1963). Commercial structure and commercial blight: Retail patterns and processes in the city of Chicago, Dept. of Geography, Univ. of Chicago, Chicago.
Christaller, W. (1966). Central places in southern Germany, Prentice-Hall, Englewood Cliffs, NJ.
Cromley, R. G., and Hanink, D. M. (2008). “Population growth and the development of a central place system.” J. Geogr. Syst., 10(4), 383–405.
Curtin, K. M., and Church, R. L. (2007). “Optimal dispersion and central places.” J. Geogr. Syst., 9(2), 167–187.
Kim, D. S., and Chung, H. W. (2001). “Spatial location-allocation model for multiple center villages.” J. Urban Plan. Dev., 95–117.
Marshall, J. U. (1978). “On the structure of Loschian landscape.” J. Reg. Sci., 18(1), 121–125.
Oppewal, H., Timmermans, H. J. P., and Louviere, J. J. (1997). “Modelling the effect of shopping center size and store variety on consumer choice behaviour.” Environ. Plan. A, 29(6), 1073–1090.
Puryear, D. (1975). “A programming model of central place theory.” J. Reg. Sci., 15(3), 307–316.
Schenk, T. A., Löffler, G., and Rauh, J. (2007). “Agent-based simulation of consumer behavior in grocery shopping on a regional level.” J. Bus. Res., 60(8), 894–903.
Timmermans, H., Borgers, A., and van der Waerden, P. (1991). “Mother logit analysis of substitution effects in consumer shopping destination choice.” J. Bus. Res., 23(4), 311–323.
Train, K. E. (2003). Discrete choice methods with simulation, Cambridge University Press, Cambridge, U.K.
Valeo, C., Baetz, B. W., and Tsanis, I. K. (1998). “Locations of recycling depots with GIS.” J. Urban Plan. Dev., 93–99.
Vandenbroucke, D. A. (1993). “A simulation of a simple central place system.” Soc. Sci. Comput. Rev., 11(1), 15–32.
Vandenbroucke, D. A. (1995). “Agglomeration and market area division in a simulated two level central place system.” Reg. Sci. Perspect., 25(1), 74–83.
Wang, D., and Zhou, Y. (2002). “Analysis on the hypermarket choice behavior of consumers in Shanghai.” Urban Plan. Forum, 4, 46–50 (in Chinese).
White, R. W. (1977). “Dynamic central place theory: Results of a simulation approach.” Geogr. Anal., 9(3), 226–243.
White, R. W. (1978). “The simulation of central place dynamics: Two-sector systems and the rank-size distribution.” Geogr. Anal., 10(2), 201–208.
Wilensky, U. (1999). NetLogo, Center for Connected Learning and Computer-Based Modeling, Evanston, IL.
Wu, X. (2005). Complexity theory and its application in urban system research, Ph.D. thesis, Northwest Polytechnical Univ., Xi'an, China (in Chinese).
Xue, L., Luo, B., and Wen, J. (2010). “Dynamic simulation of central place by using agent-based modeling.” Geogr. Res., 29(9), 1659–1669 (in Chinese).
Yang, L. (2003). “An analogic research on allocation of distribution center of retail e-business enterprise.” Econ. Geogr., 23(1), 97–101 (in Chinese).
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Published In
Journal of Urban Planning and Development
Volume 142 • Issue 1 • March 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Dec 20, 2013
Accepted: Feb 17, 2015
Published online: May 8, 2015
Discussion open until: Oct 8, 2015
Published in print: Mar 1, 2016
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