An analysis of land price changes after urban regeneration project in the local city downtown-focusing on gusan modern historical landscape area, daegu bangchun market·kim-kwangsuk-gil, and jeonju hanok village

Various urban regeneration projects implemented so far have had a positive effect of rediscovering local assets and revitalizing urban space. However, the value of real estate in the region has risen sharply, and the side effects of local members being transferred are also accompanied. It is especially serious in local cities that do not have their own driving force to revitalize the region. In this study, the trend of land prices changing after the implementation of urban regeneration projects was time-series for Gunsan, Daegu, and Jeonju, where gentrification occurred, among the urban regeneration areas where urban regeneration projects were implemented. After selecting the control area, which has similar physical environment to the research site and has a difference in whether urban regeneration projects are implemented or not, the pattern of land price changes from 2006 to 2020 was compared and analyzed through the DID analysis method. As a result of the study, there was a difference in the trend of changing the DID coefficient values in each region, but the land price changed over four stages in all three regions in common. It showed a pattern of falling land prices due to the declining regional characteristics before the project implementation, gradual or rapid rise in land prices due to the implementation of urban regeneration projects, amplification of changes, and continuous increase or decrease. It was also seen that the DID coefficient value showed a greater degree of change after the maximum value was displayed. In other words, it may be determined that the implementation of urban regeneration projects has a strong impact on the land price of the relevant area. Therefore, in order to strengthen the net function of urban regeneration projects and reduce the adverse effects, it is necessary to proactively respond to changes in the characteristics and environment of the target site based on step-by-step land price changes.