빅데이터를 활용한 도시재생모니터링 평가 방안

The Evaluation Measures for Urban Regeneration Monitoring with the Use of Big Data- For the 13 Cities in the Urban Regeneration Priority Regions -

This study aims to suggest a quantitative evaluation method to understand the influence of urban regeneration project. Even though a method to quantitatively evaluate the urban regeneration project is necessary, it is also needed to have a method to evaluate by using the objective and quantitative indexes. The quantitative evaluation method is an efficient method to be able to check numerical changes in accordance with urban regeneration project, and also to check relative changes through the comparison with the previous time point and comparative regions. Thus, this study aimed to verify changes in the project regions and comparative regions in accordance with the progress of urban regeneration project, with the use of big data. Targeting the urban regeneration priority regions designated in 2017, this study examined changes in the urban regeneration priority regions and surrounding comparative regions by using 13 indexes such as floating population, sales, number of new businesses, and number of licensing for buildings, and also verified changes in the urban regeneration priority regions compared to the comparative regions. On top of verifying changes in indexes in accordance with the lifecycle of urban regeneration priority project, the evaluation of urban regeneration project was performed. Also, based on such indexes, the system for evaluating the urban regeneration project and its utilization measures were suggested.