PREPARATION OF VACANT HOUSE DATA BASED ON DIGITAL HOUSING MAP AND ITS UTILIZATION FOR UNDERSTANDING FACTORS INFLUENCING VACANT HOUSE OCCURENCE

Abstract

This study analyzes the relationship between vacant house occurrence and change of regional characteristics and living convenience. This analysis has been conducted focusing on the region in Kochi city where sprawled during the period of high economic growth in Japan. To understand the tendency, vacant house data set is prepared based on digital housing map which is commercially available and vacant house occurrence is analyzed based on prepared data. It was clarified that prepared vacant house data has similar characteristics with the survey results by local government. It means this study also clarified prepared vacant house dataset can be utilized to understand changes of vacant house occurrence. In addition to that, factors influencing vacant house occurrence statistically analyzed based on discriminant analysis. Explained variables were prepared such as location of convenience facilities, public transport services, population and specify of Densely Inhabited District (DID) in study site. Based on parameter estimation results by discriminant analysis, it is statistically clarified that variable which represents population and number of households are significantly affected for vacant house occurrence. In addition to that areas where specified as DID during high economic growth period and withdrawal of convenience facilities which is mainly used by specific customers tend to be higher ratio of vacant house occurrence.