📄 Abstract
This study employed a quantitative descriptive research design utilizing Multidimensional Analysis to determine the indicators of local housing attractiveness of first-time homebuyers. A total of 377 respondents were chosen using a stratified sampling technique. Results were analyzed using mean and standard deviation, and Multidimensional Scaling (MDS) was used to identify the latent dimensions underlying homebuyer preferences. Based on the findings, first-time homebuyers of local housing in Davao City found it highly essential to choose housing in safe areas, such as flood-free locations, landslide-free zones, and structurally resilient housing built from durable materials with earthquake-resistant structures. Meanwhile, the homeowner found it low or sometimes essential for local housing to be compliant with superstitions and have swimming pools. The Multidimensional Scaling (MDS) analysis yielded a stress value of 1,459,618.78, indicating a high level of distortion in the two-dimensional representation. This suggests that while the model provides a general visualization of the data structure, it may not fully capture the true relationships among the variables.The data revealed two principal latent domains: Essential Livability and Sustainable Opportunity. The findings provide a basis for local real estate to adapt to current housing trends and improve project planning.
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📚 How to Cite:
Lalyn P. Regalado, Dr. Kymwell R. Hinlayagan , INDICATORS OF LOCAL HOUSING ATTRACTIVENESS IN DAVAO CITY: A MULTIDIMENSIONAL ANALYSIS , Volume 12 , Issue 4, April 2026, EPRA International Journal of Multidisciplinary Research (IJMR) , DOI: https://doi.org/10.36713/epra27083