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Enhancing real estate mass appraisal in Type II metropolitan cities: A GIS-MGWR approach

Yu Zhao et al.

International Journal of Strategic Property Management2025https://doi.org/10.3846/ijspm.2025.24225article
AJG 2ABDC B
Weight
0.41

Abstract

At present, China’s real estate appraisal sector confronts a number of challenges, including low appraisal efficiency, significant human influence, lack of objectivity, and absence of unified standards. Particularly, conducting a scientific, precise, and efficient mass appraisal of existing housing is vital for fostering the industry‘s healthy development. This study adopts Zhangjiakou City in Hebei Province as a case study, integrating Geographic Information Systems (GIS) and utilizing the Ordinary Least Squares (OLS), Geographically Weighted Regression (GWR), Semi-parametric Geographically Weighted Regression (SGWR), and Multiscale Geographically Weighted Regression (MGWR) models to assess the prices of existing housing. The research delves into the specific challenges in mass appraisal of real estate within Type II metropolitan cities. The study reveals spatial heterogeneity in the prices of existing housing in Zhangjiakou City and shows that the MGWR model excels in mass appraisal of housing prices in Type II metropolitan cities. This research offers strategic guidance for real estate market investment and transactions in Zhangjiakou City and provides valuable references for other Type II metropolitan cities in real estate appraisal practices, market analysis, and policy formulation.

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https://doi.org/https://doi.org/10.3846/ijspm.2025.24225

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@article{yu2025,
  title        = {{Enhancing real estate mass appraisal in Type II metropolitan cities: A GIS-MGWR approach}},
  author       = {Yu Zhao et al.},
  journal      = {International Journal of Strategic Property Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3846/ijspm.2025.24225},
}

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Enhancing real estate mass appraisal in Type II metropolitan cities: A GIS-MGWR approach

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Evidence weight

0.41

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

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
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.