A study on an efficient making method of detailed urban dataset by spatial integration of yellow-page data and digital maps for urban analysis

摘要

There were many researches of urban analysis with various ways in various disciplines. But information used often has only low spatial resolution especially when they use regional statistics, though the statistical data can over relatively large areas with homogeneous quality. For detailed analysis, some studies rely on field survey data that eventually have very fine spatial resolution, but they fail to cover an entire urban area or larger regions including interrelated urban areas. The aim of this study is; 1) to develop a method of generating a urban dataset with fine spatial resolution that can cover an urban area or a whole national land territory itself, by spatially integrating detailed digital maps with yellow-page data and other company data, 2) to develop a new analysis method using the dataset generated with the method.In this study, authors develop a method of highly accurate spatial integration of digital map data (Zenrin Co., Ltd Zmap-TOWN II: digital map of Japan) with data that has attribute data (NTT Town page telephone directory or yellow page of Japan). Z-map has polygon data describing building shapes. Town page has attribute data of resident's name or telephone number of residential houses and has tenant name or category of industries. The two datasets are spatially merged by address matching and name information identification. With this method, we can link not only Town page data but also various attribute data. This urban analytical tool using the spatially integrated dataset targets to allow us to cover whole extent of Japan and multi-year with "detailedness" and flexibility. For example, we can track microscopic transitions of individual tenants near urban center to macro scale like distraction of industrial clusters with the same tool.