This study analyzes the impact of subjective residential environment factors based on civil complaints data and objective residential environment factors on housing prices. To this end, LDA topic modeling was utilized to factorize this environment, an...
This study analyzes the impact of subjective residential environment factors based on civil complaints data and objective residential environment factors on housing prices. To this end, LDA topic modeling was utilized to factorize this environment, and multiple regression analysis was also conducted. Based on the results, this study derives the following conclusions. First, categorization of the civil complaints revealed occurrences of such complaints had an impact on house sale and rent prices. In particular, not only traffic-related civil complaints but also traffic safety characteristics in the objective residential environment exerted significant effects. This indicates that the civil complaints reflect the residents’ perception of the residential environment and housing price, which functions as a subjective residential environment indicator. Second, based on a complex perspective that considers both objective and subjective aspects, the effect of residential environment on housing sale and rent prices was identified at the microscopic level of the 100m grid. Lastly, in addition to the subjective residential environment such as physical inconvenience, civil complaints affected housing prices owing to a combination of prospects for future urban planning policy and other factors. The results suggest that when a policy is established, the impact on the housing market can be proactively predicted and problems responded to by analyzing the residential environment derived from civil complaints.