Spatiotemporal Analysis of Retail Agglomeration

Abstract

There are complex and diverse changes within urban space, especially in retail agglomeration. These changes, such as the establishment of new stores, conversion from one store to another, rehabilitation of buildings and so forth, are mostly affected by fast moving social and economic trends. It is necessary to clearly understand retail agglomeration to prevent inconveniencing residents and visitors of a city.

This paper proposes a method for classifying retail distribution by differences in formation processes using a buffer radius to observe topological relationships between the existing distribution and new stores. Empirical analysis is performed with the NTT Townpage data for Shinjuku ward and Shibuya ward.