Urban greenness and hedonic dataset in Busan, South Korea

This dataset is aggregated to investigate the association between green amenities and property prices in a metropolitan city. The provided data file contains a total of 52,644 observations with 27 variables, retrieved from the Korea Transport Database, Statistics Korea, Ministry of Land, Infrastructure and Transport, and the Spatial Information Portal. Specifically, the green index is quantified using a large amount of Google street view images, obtained from the download tool (https://svd360.istreetview.com). In this procedure, we carry out a three-step process and then employ the spatial interpolation method to alleviate the nonuniform distribution of source images. We encourage the reusability of our dataset and approaches used in this work by providing supplementary information including code files, which is available at Github (https://github.com/Quantitative-Finance-Lab/Green-Index).