The Urban Regeneration House Repair Support Projects were initiated in 2017. However, local authorities were compelled to establish their own criteria due to the absence of detailed execution guidelines from the central government. This phenomenon, primarily focusing on house repair, led to the insufficient achievement of the intended landscape improvement objective. This study proposes improvements of the selection criteria to enhance landscape improvement, using GIS spatial analysis of Myeonghak and Seoksu in Anyang-si. As a result, the research identifies main findings, such as various spatial distributions of the Deterioration and Influence criteria within site areas, spatial limitations in scoring individual houses, and the importance of the Deterioration criterion in the selection process. Based on these findings, the study explores improvement directions for the selection criteria, including establishing predictive simulation, utilizing spatial weighting for landscape improvement, and setting up post-evaluation based on spatial analysis. Despite its limitations in ignoring more quantitative spatial statistical evaluation and unique conditions based on more local authorities, the study offers significant insights for providing quantitative guidelines for the selection criteria, which can contribute to more rational fund distribution and enhanced policy efficacy.
No takes yet. Share an insight, caveat, or question.
Jun et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: