As an important indicator of the level of urban economic development and the quality of the residents’ lives, housing prices are affected by various factors, such as the spatial distribution of the housing market, the housing characteristics of neighborhoods, and the location conditions. This paper summarizes the spatial distribution of housing prices in Qingdao using GIS, analyzing spatial distribution characteristics, and combines these with the Geographically Weighted Regression (GWR) model to explore the influence of various factors, such as community attributes, location, transportation, and peripheral facilities on residential prices. The results show that from 2003 to 2023, residential housing prices in Qingdao exhibited a significant, continuous upward trend, with rapid growth in the early period and more stable growth in the later period; the spatial structure of residential prices evolved from a “single core” in Shinan District to a “double core + fan” structure involving both Shinan and Laoshan Districts, eventually forming a “double core + fan + mosaic” spatial layout; the green environment, congestion, leisure facilities, service management, and other community factors not only reflect the economic strengths and lifestyles of the residents, but also serve as key drivers of residential price differentiation.
10 July 2023 in Advances in Education, Humanities and Social Science Research
Combining the evaluation results of questionnaire and remote sensing image, the study evaluate the social-spatial effects of residential differentiation from the micro perspective of residents and the macro perspective of city in a qualitative and quantitative manner. The social-spatial effects are mainly manifested in improving the targeting of community services, hindering interaction between social groups, endangering public safety, exacerbating the unbalanced pattern of public resource and the differences in job-housing balance .
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