[1Yin-A] Poster 1

[1Yin-A-54] Construction of a Commercial Dynamics Dataset Focusing on Store Opening and Closing Events

〇Ryosei Kobayashi¹, Koutarou Tamura^2,1, Yohei Shida¹ (1. University of Tsukuba, 2. Nomura Research Institute, Ltd.)

Keywords:

Commercial Dynamics Data,Store Opening and Closing Information,Dataset Construction

We construct a research-ready dataset of store opening and closing events to support urban, economic, and machine-learning studies of commercial dynamics. Using systematic collection from Kaiten-Heiten.com, we build datasets for Osaka Prefecture and Tokyo Metropolis with a shared pipeline that normalizes timestamps, geocodes locations, and standardizes store attributes. For Osaka, we compiled about 11,000 events from 2019 to 2025 and evaluated data quality via missingness statistics, spatial distributions, and opening–closing ratios. The checks revealed no major structural inconsistencies, and the pipeline is designed for incremental updates and expansion to other regions. The resulting datasets provide a practical foundation for empirical analyses linking commercial turnover to human mobility patterns and urban structure.