Research On Distribution Of Urban Parks Green Space Based On Walking Accessibility

Urban park green space provides people with livable urban ecological environment,which is an important public activity space for us.With the fast promotion of living standard,the demand of urban residents for urban park green space is increasing day by day.However,restricted by the economic value of land,urban park green space is often used as a "patch" to fill the blank area of urban land,which inevitably causes the uneven distribution of urban park green space.Therefore,urban park green space should not only meet the requirements of the total amount of construction to meet the standard,but also achieve the balance of spatial distribution and social equity.Based on the walking accessibility,this paper evaluates the current situation of supply and demand of park green space in Yanta District of Xi’an city,analyzes the existing problems of its distribution,and further puts forward the optimization scheme to achieve the goal of matching park green space and residential population distribution.This paper presents the research ideas of analyzing the current situation of park green space in Yanta District from three aspects: supply and demand,and the distribution of park green space.First of all,the entropy weight method and network analysis method are used to evaluate the supply quantity and service scope of the existing park green space in Yanta District,and the conclusion is that the supply quantity of the park green space in Yanta District has a large gap in the street level,and its service scope is not fully covered in Yanta District.Secondly,the two-step Gauss mobile search method based on the actual road network is utilized to calculate calculate the walking accessibility of the park green space in Yanta District,and the accessibility distribution is obtained by Kriging spatial interpolation method.It is found that there are four problems in the current situation of park green space in Yanta District,i.e.unbalanced distribution of accessibility,unbalanced supply and demand of park green space,more blind areas of accessibility and the type and structure of park green space to be adjusted.The root cause of the above problems lies in the space mismatch between the existing park green space in Yanta District and the living population.Finally,in view of the current situation of the green space distribution in Yanta District,according to the optimization strategy of giving priority to adding the green space in the accessibility blind area park,through K-means clustering algorithm,it is appropriate to get 10 new parks in Yanta District,and further use particle swarm optimization algorithm to get the optimal solution of the location coordinates of the new park green space,and combined with the actual situation,it gives the optimal solution of the new park green space Specific distribution and implementation suggestions.