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Downtown Dynamics978-4-431-54901-7Series ISSN 1861-0803 Series E-ISSN 2364-9542
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https://doi.org/10.1007/978-4-431-54901-7Downtown Dynamics; Gaming Simulation; Intelligent Agent Simulation; Shop-Around Behavior; Simulation; Sys
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Springer Japan KK, part of Springer Nature 2020
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Irwin L. Goldman,John P. Navazio together with the basic survey and an advanced analysis of these data are also discussed. In addition, the results of the past four surveys conducted by the Kaneda laboratory are reviewed, and the visiting behavior of the district’s visitors is shown at each time point along with their spatial dist
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https://doi.org/10.1007/978-0-387-30443-4cts they sell. This chapter looks at a 2013 survey centered on shop-around behaviors and the configuration of shops in the district and compares it with an earlier one conducted in 2008. By analyzing the changes across the two surveys, a dynamic model of factors behind those changes emerges, illustr
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Dirk Richter PhD,Ian Needham,Stefan Kunzty. (1) We focused on Nagoya CBD between 1935 and 1965, when the city planning projects, including the War Disaster Reconstruction Project, were executed and analyzed the land price index by multiple regression analysis using the distance from the nearest tram stop, commercial and office business ac