Spatial Differentiation Mechanism of Urban Housing Prices from the Perspective of Amenity: A Case Study of Nanjing

Guangyuan Feng, Xiaopu Bi, Jingxiang Zhang () and Tianhan Cheng
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Guangyuan Feng: School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
Xiaopu Bi: School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
Jingxiang Zhang: School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
Tianhan Cheng: Design School, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China

Land, 2025, vol. 14, issue 5, 1-12

Abstract: New economic development trends have brought challenges and transformation directions to China’s urban planning process, in which the relationship between supply and demand of urban housing needs urgent optimisation. Using data on multiple types of facilities and housing price information, this paper analysed spatial differentiation characteristics of housing prices in Nanjing. An evaluation indicator system of human environment quality was established under the amenity connotation based on three dimensions of natural amenity, artificial amenity and social atmosphere amenity, and the Gradient Boosting Decision Tree (GBDT) algorithm was applied to investigate the impact of different amenity factors on housing prices. The findings revealed that amenity factors have a positive impact on housing prices, with artificial amenity as the most influential. Partial amenity factors demonstrated nonlinear relationships with housing prices with obvious threshold effects. Based on these findings, this paper proposed targeted supply and demand optimisation strategies in accordance with the above three dimensions, aiming to offer practical recommendations and guidance for improving the quality of the urban habitat.

Keywords: housing market; supply and demand relationship; housing prices; gradient boosting decision tree; Nanjing (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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