Abstract
Monitoring of urban structure is required against the declining birth rate and population aging. The distributions of housing vacancy are expected to be one of the indicators of monitoring low-used and unused spaces around urban areas. However, there are many discussions on the time and labor problems in the field survey and the method of identifying vacant houses. In this study, the field survey of vacant houses was conducted in 2016 and 2017. We also applied the ordered logit model with hierarchical Bayesian method by using the two-time field survey results, water hydrant data, fixed assets data, local demographics, and building data. The accuracy of the detection of vacant houses was discussed through the comparison of the other findings of vacancy.
