Evaluation of Accessibility and Supply-demand Matching of Park Green Spaces Based on Visit Preferences:A Case Study Based on the Main Urban Area of Wuhan

ZHANG Ying; LIU Yaolin; TONG Zhaomin; LIU Yanfang

doi:10.3969/j.issn.1000-0232.2025.06.009

Abstract：Park green space(PGS)is a vital component of the urban ecosystem and public service system.Its rational layout and supply-demand matching are crucial for improving people's well-being.The rapid urbanization process has reshaped the urban spatial structure and intensified conflicts between other construction lands and PGS,leading to the mismatch between PGS services and population distribution.Moreover,studies have shown that residents with different socio-demographic characteristics have varying preferences for visiting PGS.These differences should not be ignored when evaluating the serviceability of PGS,and they are more in line with the trend of refined spatial governance.Therefore,constructing an evaluation method for PGS services based on visit preferences,identifying supply-demand mismatch areas,optimizing the layout of PGS,and improving service efficiency are key issues to deepen people-oriented urban planning and construction of all-age-friendly cities. Based on geographic big data,existing studies have discussed residents' visit preference characteristics of PGS,but some problems in the field still have to be further explored.Therefore,a case study based on the main urban area of Wuhan was conducted.Using the Gaussian two-step floating catchment area method,the real demand frequency of residents in the study unit was first recognized by combining with mobile phone signaling data.Second,the visit preferences of different age groups were explored and quantified as parameters in models.An accessibility model based on PGS visit preference laws of all age groups was built.Finally,supply-demand matching was analyzed using visit preference-based accessibility and the real demand frequency of residents as the supply-demand end.The service status of PGS in the study area was evaluated comprehensively. The results show that:(1)Different age groups demonstrate different visit preferences of PGS.Teenagers have the highest preference for theme parks,and elderly people prefer comprehensive parks with close distance,large areas,and rich facilities.On weekends,people prefer to visit parks with farther distances but larger areas and more facilities or activities,while on weekdays,they tend to choose parks nearby.(2)The spatial differentiation of the accessibility considering visit preferences is remarkable.The accessibility of theme parks shows obvious spatial polarization,and the overall accessibility shows high values along the Wuhan East Lake with significant spatial clustering.(3)There is an imbalance between PGS supply and demand in some areas,such as Jiangan District and Hongshan District,accounting for 13％.Such imbalance is more prominent on weekends,and the PGS supply-demand match of the elderly group is the worst. Based on the geographic big data,the study deeply explored the visit preferences of different age groups,improved the accessibility model,assessed the current status of PGS services more realistically,and confirmed the feasibility of evaluating PGS services based on visit preferences.It provides a reference to optimize the people-oriented urban park green space configuration,refine governance of territorial space,and construct all-age-friendly cities.Results can be applied to research on other public service facilities.