Spatial-Temporal Variation in the Impacts of Urban Infrastructure on Housing Prices in Wuhan, China

Fan Liu, Min Min, Ke Zhao and Weiyan Hu
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Fan Liu: College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China
Min Min: College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China
Ke Zhao: College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China
Weiyan Hu: College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China

Sustainability, 2020, vol. 12, issue 3, 1-18

Abstract: This study aims to investigate the spatial and temporal dynamics of housing prices associated with the urban infrastructure in Wuhan, China. The relationship between urban infrastructure and housing prices during rapid urbanization has drawn popular concerns. This article takes 619 residential communities during the period 2010 to 2018 in Wuhan’s main urban area as research units, and uses the geographically and temporally weighted regression (GTWR) model to study the spatial-temporal differentiation in the effects of urban infrastructure on housing prices. The results show that: 1) From 2010 to 2018, housing prices in Wuhan’s main urban area were generally on the rise, but the increment speed has shown an obvious periodic characteristic, the spatial distribution of housing prices has shown an obvious core and periphery distribution and the peak value area shifted from Hankou to Wuchang. 2) The influential factors of housing prices have significant spatiotemporal non-stationarity, while the impact, direction and intensity of the influential factors varies in time and space. Spatially, the influence factors show different differentiation rules for spatial distribution, and the influencing direction and strength of the urban infrastructure on housing prices are closely related to the spatial location, distribution density and the type of urban infrastructure. Temporally, the influencing strength of various urban facilities varies. This research will benefit both urban planners for optimizing urban facilities and policy-makers for formulating more specific housing policies, which ultimately contributes to urban sustainability.

Keywords: urban infrastructure; geographically and temporally weighted regression; housing prices; Wuhan; influencing factors (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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