| Park green space is an indispensable green carrier in the city,an important place for urban residents’ recreational activities,and a valuable "breathing space" in modern urban life.With the increasing improvement of people’s living standard,it is closely related to the life of urban residents to build a public space with the concept of "innovation,coordination,green,openness and sharing",to construct a more perfect public green space system and to create a greener ecological environment.As a valuable public green space resource in downtown Shanghai,Suzhou River Waterfront Park Green Space,on the one hand,plays an important role in improving the urban ecological environment and beautifying the living space,and on the other hand,provides a place for leisure and recreation at the disposal of the city residents and facilitates the local residents to enjoy a healthy natural life nearby,and at the same time,is conducive to building a green ecological pattern in the city and creating a good ecological environment.It is a spatial model for the Suzhou River waterfront space,which injects important ecological,social and economic values to help the Suzhou River waterfront space become a world-class waterfront area.Based on Arc GIS spatial analysis function,this paper uses GIS network analysis method to measure the spatial accessibility of park green space of Suzhou River waterfront space,and on this basis,we measure the service population ratio,service area ratio,Lorenz curve,Gini coefficient and service location entropy of waterfront space park green space from both macroscopic and microscopic perspectives,so as to the service efficiency of Suzhou River waterfront space park green space is analyzed and evaluated,and optimization strategies are proposed.The main conclusions of this paper are as follows:(1)The overall accessibility of park green spaces along the Suzhou River waterfront space is good.Firstly,the spatial accessibility of park green spaces in the study area varies greatly under different transportation modes,but the overall accessibility is better.Secondly,the spatial accessibility of non-starred park green spaces is better than starred park green spaces in the measurement of spatial accessibility of different starred park green spaces.Finally,in the accessibility analysis of different evaluation methods,the coverage of walkability of park green areas under the network analysis method is larger than that of the cost distance weighting method in general,mainly because the network analysis method is based on the real road network in the study area,which can reflect the travel situation of people to reach the park green areas relatively accurately.(2)The overall service efficiency of park green space along the Suzhou River waterfront space is good,but the convenient park green space service is more inequitable.The service area ratio and service population ratio of park green space are high,but the Lorenz curve and Gini coefficient reflect the inequity of convenient park green space services in the study area.(3)There are some spatial differences in the service efficiency of park green spaces in each street of Suzhou River waterfront space.The descriptive statistical analysis of the entropy of the park green space service location of each street in the study area using SPSS software shows that the standard deviation,coefficient of variation and skewness of the entropy of the park green space service location of each street in the study area are small and the degree of dispersion is low,but at the same time,it indicates to a certain extent that there are some differences in the fairness of the park green space service of each street.(4)Based on the problems and deficiencies in the service efficiency of park green spaces along the Suzhou River waterfront space,targeted optimization strategies are proposed in an exploratory manner.This can be done by optimizing the allocation of park green space resources,strengthening the spatial accessibility of park green space in the study area,and promoting the guidance of population distribution in each street in the study area to promote the improvement of the service efficiency of park green space in the study area. |