ANNUAL CONGRESS 2025

Analysis of the Impact of Residential Facilities for People with Disabilities on Housing Prices in Seoul Using Machine Learning and AITS-DID Models

Not scheduled

20m

Yildiz Technical University, Istanbul

Oral Track 13 | HOUSING AND SHELTER

Speaker

Ms SOYEON JU (Graduate School of Urban Studies, Hanyang University, Seoul, Republic of Korea)

Description

Residential care facilities for individuals with disabilities play a crucial role in enhancing their quality of life and supporting sustainable daily living. However, NIMBY (Not In My Backyard) attitudes among local residents often hinder efforts to improve the social independence and quality of life for these individuals. A primary concern driving this opposition is the fear of decreasing property values in neighborhoods surrounding such facilities. While prior research has broadly investigated the effect of various non-preferred facilities on neighboring property values, findings have been mixed, with some studies reporting negative impacts and others revealing positive or neutral outcomes.

Despite this extensive body of literature, there remains limited discussion on how residential care facilities for individuals with disabilities specifically influence local real estate prices. To address this gap, we employed two analytical approaches: the Adjusted Interrupted Time Series-Difference in Differences (AITS-DID) model and machine learning techniques. The AITS-DID model was utilized to examine causal effects by analyzing changes in property values at both levels and trends after the construction of these facilities. Simultaneously, machine learning methods were applied to identify complex patterns and interactions among housing market variables, providing a broader perspective on the factors influencing property values.

To account for variations across market segments, Seoul’s housing submarkets were stratified into two groups based on median property values. By integrating these two approaches, this research offers a comprehensive understanding of how the presence of residential care facilities for individuals with disabilities affects real estate values, contributing valuable insights for urban planning and social policy development.

References

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