Local railway lines in Japan were developed according to the Light Railway Construction Act and the amended Railway Construction Act. However, after the Pacific War, a large number of local railway lines have been reconstructed as organizations change to bus services or are abolished. Recently, according to the deregulation of supply and demand adjustments in 2000, reconstruction of local railway lines is ongoing. In the case of local railway reconstruction, most studies generally carry out social benefit analysis （cost-benefit analysis）, demand forecasting, analysis of reconstruction （revitalization） schemes and similar studies. However, there are few reports on these themes. Reconstruction of a local railway line should bring social impacts, so analyze of the reasons for the cases of successful revitalization by quantitative methods is necessary. We focused on the revitalization of the Kishigawa Line in Wakayama Prefecture. There is much information and statistical data on the Kishigawa Line. We studied and analyzed the following four points. 1） Detailed analysis of the population data along the Kishigawa Line. In this analysis, 500 m mesh population data were converted to 100 m mesh by the land use parameter. 2） Review of the reconstruction process of Kishigawa Line. We analyzed decision making by the original operator, the new operator and the local governments. 3） Analysis of the reason for the successful reconstruction and revitalization of the Kishigawa Line. 4） Extraction of structural problems on local railways, and components needed to revitalize railways by this case study. In the revitalization of the Kishigawa Line, the number of passengers increased, and the balance of payments was improved. Therefore this can be defined as a successful case. We are convinced this case study can provide valuable knowledge, because the revitalization of the Kishigawa Line has many factors typical for public transportation problems in Japan. These factors show the importance of data analysis by a 100 m mesh evaluation of the population in the area around the station, social benefit analysis （cost-benefit analysis）, and trinity coordinated management by railway operators, local governments and supporters. JEL Classifications: O18, R14, R42