Journal of the Korean Geographical SocietyISSN:1225-6633(Print)대한지리학회

This study analyzed the spatiotemporal economic impacts when introducing spatial planning technology that utilizes big data, which is needed for land and urban planning procedures. Predicting big data-based land use changes and analyzing the input effects of R&D needed for the development of all-kind technologies that are used for spatial planning requires to measuring different impacts by region and by industry, so this study used he flexible input-output methodology (Flex-IO). The Flex-IO approach could overcome the limitations existing in the current static urban planning model because it provides dynamic IO analysis process that allows IO coefficients to be changed along with the future economic structure changes in terms of demand and/or supply changes. Therefore, this study could avoid the main weakness in IO, fixed coefficient assumption that has been made in traditional IO analysis. 30 industries were classified and total 3.4 billion won for five years was used as the input for Flex-IO. The total economic impacts reached 74 billion won where the multiplier effect was 2.22. Top industries include Real estate and leasing, Public administration and military, and Wholesale and retail industries in order. Also, Seoul, Gyunggi, Chungnam, Busan, and Gyeongbuk had its regional order in economic impacts.