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GIS-Based Innovation for Estimating Real Estate Market Location Performance

Adejimi Adebayo

Journal of Real Estate Literature2025https://doi.org/10.1080/09277544.2025.2563392article
ABDC C
Weight
0.50

What the paper says

Understanding real estate location performance is crucial for effective urban decision-making. This study develops an innovative GIS-based approach to measure and visualise market dynamics at the intra-city level by analysing locational changes in the demand and supply of real estate over a decade, mapping performance and resilience before and after the COVID-19 shock. The results indicate that the shock did not significantly disrupt market elasticity, and the technique produces 2D and 3D visual outputs that support smart decision-making in investment, development, management, and urban planning. Although the findings may be influenced by the specific real estate type examined, the study calls for broader application across various asset classes and spatial layouts, and highlights opportunities for further development using GeoAI algorithms.

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https://doi.org/https://doi.org/10.1080/09277544.2025.2563392

Or copy a formatted citation

@article{adejimi2025,
  title        = {{GIS-Based Innovation for Estimating Real Estate Market Location Performance}},
  author       = {Adejimi Adebayo},
  journal      = {Journal of Real Estate Literature},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/09277544.2025.2563392},
}

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GIS-Based Innovation for Estimating Real Estate Market Location Performance

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.