Abstract
Previous studies once had raised a question of what caused the difference between Japan and the United States regarding their estimated values for the exponent of distance in the Huff Model. Japan’s smaller values were explained by referring to the proximate locations of retail facilities in Japan. On the other hand, there exists empirical research that has examined consumers’ walking distances in a shopping district. The research seems to implicitly assume that human physiological constraints determine such distances. If so, why do proximate locations decrease distance resistance? With the intent to link the above two research streams, we estimate a shop-around distance distribution function to clarify how a consumer changes the hazard to quit during the shop-around trip.
This chapter is based on the paper, Saburo Saito, Toru Sakamoto, Hiroyuki Motomura, and Seiji Yamaguchi [27], “Parametric and Non-parametric Estimations of Distribution of Consumer’s Shop-around Distance at Midtown District,” Papers on City Planning, Vol. 24, pp.571–576, 1989.
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Saito, S., Motomura, H. (2018). Kaiyu Distance Distribution Function at Downtown Space. In: Saito, S., Yamashiro, K. (eds) Advances in Kaiyu Studies. New Frontiers in Regional Science: Asian Perspectives, vol 19. Springer, Singapore. https://doi.org/10.1007/978-981-13-1739-2_6
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DOI: https://doi.org/10.1007/978-981-13-1739-2_6
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