Understanding Housing Prices Using Geographic Big Data: A Case Study in Shenzhen

Understanding the spatial pattern of urban house prices and its association with the built environment is of great significance to housing policymaking and urban planning. However, many studies on the influencing factors of urban housing prices conduct qualitative analyses using statistical data and...

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Veröffentlicht in:	Sustainability 2022-05, Vol.14 (9), p.5307
Hauptverfasser:	Jiang, Xufeng, Jia, Zelu, Li, Lefei, Zhao, Tianhong
Format:	Artikel
Sprache:	eng
Schlagworte:	Big Data Causality Cities Environmental education Growth rate Housing Housing prices Model accuracy Population growth Qualitative analysis Spatial analysis Urban areas Urban environments Urban planning Welfare
Online-Zugang:	Volltext
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