Study on the Spatial Matching Between Public Service Facilities and the Distribution of Population—An Example of Shandong Province

Yin Feng and Yanjun Wang ()
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Yin Feng: College of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao 266590, China
Yanjun Wang: College of Civil Engineering and Architecture, Shandong University of Science and Technology, Qingdao 266590, China

Sustainability, 2025, vol. 17, issue 17, 1-21

Abstract: Against the backdrop of rapid new urbanisation and the ongoing integration of urban and rural areas, the evolving spatial dynamics between public service facilities and population distribution have increasingly garnered scholarly interest. The present study employs a grid-based spatial unit and a coupling coordination model as a foundation. This model integrates POI data, Baidu heat maps, and other sources of spatial and temporal information. The objective is to explore the dynamic matching pattern of public service facilities and population distribution. The study’s findings are as follows: The population within the core urban area displays a strong propensity for agglomeration during the morning and evening peak hours, thereby forming a highly coordinated public service network characterised by high-density and piecemeal distribution of public service facilities. The population residing within the transition zone between urban and rural areas is commuting in a substantial number, and the relationship between the supply of and demand for facilities demonstrates cyclical fluctuations. Local areas are subject to time-periodic pressure on the supply of and demand for facilities. In rural areas, due to the continuous population outflow and dispersed residence, the layout of service facilities is fragmented, exhibiting the island effect. The study reveals a structural contradiction between traditional homogeneous planning and the gradient difference between urban and rural areas, providing a scientific basis for Shandong Province to promote new urbanisation and rural revitalisation strategies in an integrated manner.

Keywords: public service facilities; the spatial and temporal distribution of the population; spatial matching; the degree of coupling and coordination (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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