Hedonic dataset of the metropolitan housing market – Cases in South Korea

This article presents a database cleaned and generated for analyzing the economic impact of subway network on housing prices in metropolitan areas. The provision of transit networks and accompanying improvement in accessibility induce various impact and we focused on the economic impact reflected in housing prices. Although our emphasis is on transit accessibility and housing prices, the dataset presented is applicable to other analyses. It includes a wide range of variables closely related to housing prices such as housing properties, local demographic characteristics, local amenities, and seasonal control variables. Various distance variables constructed in a geographic information system environment using public data are useful for exploring the environmental impact on housing prices. These data cover four metropolitan areas—Busan, Daegu, Daejeon, and Gwangju—and provide accurate information on their metropolitan structures distinct from the capital city, Greater Seoul. An empirical analysis performed by Ahn et al. [1] is based on this dataset.