| Park green space is an important component of urban green infrastructure,providing a wealth of ecosystem services,which is important for the well-being of residents and urban sustainability.With the rapid development of society and the increasing improvement of the quality of life of the people,rapid urbanization has increased a large number of urban population,and the demand for urban park green space is constantly increasing.In order to meet the increasing demand of residents for urban environment and a better life,and to solve the sustainable development of the urban environment,the supply and demand matching problem of park green space is studied,and the balanced matching between supply and demand is pursued to improve the layout of park green space under the condition of fine quantification,Improving the efficiency of park green space services is of great significance.Under the background of the concept of equalization of public service facility allocation and the 15-minute community life circle,this article takes the park green space in the main urban area of Tianshui City as an example,focusing on the perspective of supply and demand analysis,and through reading and collating domestic and foreign literature,clarifies the basic concepts,compares the methods of public green space accessibility research,and adopts the Gaussian two-step mobile search method that can connect the supply and demand sides as the research method of this article.Based on the processed population spatial distribution data and park green space spatial distribution data,we conducted demand measurement,supply measurement,accessibility measurement and supply and demand matching measurement for various types of park green space,conducted long-term population prediction in the research area through linear regression,measured demand side changes using predicted population data,and calculated the accessibility and supply and demand matching measures for various types of supply and demand green space in 2025,Based on the analysis of supply and demand matching,an optimization strategy for the layout of park green space in the main urban area of Tianshui City was proposed.Research has found that within the 1250 m threshold range set against the background of the community life circle:(1)The excessive demand intensity of park green space in the main urban area of Tianshui City is concentrated in the old urban areas dominated by streets in Qinzhou District and Maiji District;The areas with excessive supply level are located in the west of Yuquan Town,the east of Qilidun Street,Huaniu Town,Maiji District,Mapaiquan Town,and the southeast of Shetang Town.(2)The accessibility of park green spaces presents a characteristic of concentration around comprehensive parks,decreasing from the interior of the valley to the mountainous areas on both sides.The overall accessibility space coverage rate of park green space is 43.8%,and the blind areas are concentrated in the south of Tianshui Commandery,the east of Huaniu Town,and the south of Mapaoquan Town.The areas with good accessibility are concentrated around large comprehensive parks,and in the relatively peripheral areas of the main urban area.The median accessibility area is concentrated in the streets of Maiji District in Qinzhou,while the low accessibility area is distributed at the edge of each street.(3)Among the three types of park green spaces,comprehensive parks have the best accessibility,while amusement parks have the worst accessibility.(4)According to the supply and demand matching results of park green spaces,a total of 5 supply and demand relationship transformations have been generated in the accessible grid,including current and future supply exceeding demand,current supply exceeding demand-future supply and demand matching,current and future supply exceeding demand matching,and both current and future supply exceeding demand.1.8%of grids have transitioned from current supply exceeding demand to future supply and demand matching,while 1.4% of grids have transitioned from current supply exceeding demand to future supply and demand matching.(5)In 2025,there are three categories: oversupply,balanced supply and demand,and oversupply,each accounting for 67.0%,5.2%,and 27.8%.Compared with the supply and demand matching data in 2020,the areas with insufficient supply increased by 1.8%,the areas with balanced supply and demand decreased by 0.5%,and the areas with oversupply decreased by 1.3%.Based on the matching data of supply and demand in 2020,supply and demand are balanced,and the two grades of supply exceeding demand account for 34.8% of the accessible areas.There are many deficiencies in the construction of park green space in the main urban area of Tianshui City,which needs further optimization.This article analyzes the changes between the supply and demand sides based on different supply and demand relationship states,and proposes optimization strategies for park green spaces based on supply and demand matching,such as multi-level construction of park green spaces,strengthening greenway connectivity,improving road networks,decomposing core area functions,and clarifying construction timing.This article has completed the research process from literature research to method selection and optimization,and finally practical application.The Gaussian two-step mobile search method used in the article,combined with population spatial distribution100-meter grid data and Gauss map path planning,can truly reflect the supply and demand matching situation of park green space.From the perspective of supply and demand analysis,it proposes to consider the demand side changes in the time period,enriching the research perspective.The research results can better serve the future planning and construction of park green space in the main urban area of Tianshui City. |
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