The Principle of Maximum Entropy is used as an useful alternative approach in studying the urban planning problem. As a specific example, the entropic model has been adapted and applied to the study of consumer mobility with respect to shopping for food items and for clothes in Fukushima, Japan. In this paper, we maximize the entropy of consumer mobility subject to the known constraints on the system. The model, when solved by the iterative scaling method, provides comparable or even better results than those obtained in previous works by the Multiplicative Competitive Interactive spatial model.

Additional Metadata
Keywords consumer mobility, information theory, maximum entropy, probabilistic systems, Urban planning
Persistent URL dx.doi.org/10.1080/03081078908935061
Journal International Journal of General Systems
Citation
Kumar, V, Kumar, U, & Hoshino, K. (Kyoji). (1989). An Application Of The Entropy Maximization Approach In Shopping Area Planning. International Journal of General Systems, 16(1), 25–42. doi:10.1080/03081078908935061