Multidimensional Comprehensive Evaluation Of Urban Park Space Vitality And Its Influencing Factors

As an important indicator to test whether the planning,design and construction of urban park space can meet the needs and expectations of residents,it is also the requirement of the times under the background of national "Park City" construction.However,in actual use,some urban parks are sparsely populated,and some urban parks are overcrowded.How to revitalize the existing urban parks is the key point of park construction in the era of stock development.Scientific evaluation of the spatial vitality of urban parks is an indispensable step in the promotion of its spatial vitality.At the same time,the application of new technology makes it a research hotspot to evaluate the external characteristics of space vitality from the perspective of users and explore its internal mechanism.However,most of the current studies use crowd spatial aggregation as the only indicator to measure the external representation of spatial vitality,and the multi-dimensional characteristics of spatial vitality are simplified and ignored.The purpose of this paper is to use the characteristics of multi-source big data to conduct a multidimensional comprehensive evaluation of the external representation of urban park space vitality and explore its internal influencing factors,so as to provide suggestions for revitalizing the stock of urban parks.On the basis of relevant research review,this paper thinks that the formation of urban park space vitality has experienced three links: the generation of individual activities,the formation of dynamic individuals,and the aggregation of dynamic individuals.This paper emphasizes that the emotional feedback of the active crowd is also one of the important characteristics of the spatial vitality of urban parks.It is clear that the spatial vitality of urban parks is characterized by the activities of the crowd and the emotional feedback of the active crowd as the external performance characteristics,and the spatial environment characteristics of urban parks as the internal influencing factors.Based on the above cognition,on the basis of comprehensively comparing the data characteristics of multi-source big data,this paper constructs a systematic quantitative research method of urban park spatial Vitality Based on the analysis of multi-source big data,which is "multi-dimensional representation evaluation-Representation comprehensive evaluation-Exploration of various dimensional influencing factors".This method makes up for the lack of single data source and limited research perspective.The application results of this method are helpful to explore the "cold spots" of urban parks in the region,to identify the lack of vitality of urban parks,and to grasp the key to enhance and build the vitality of urban parks in the region,so as to assist planning decision-making.Finally,this paper selects 48 free urban parks in the central city of Nanjing as samples,and uses big data such as Baidu thermal map,public comments,Gaode map POI and open source remote sensing data as support to empirically apply the above methods.The "slow" and "urgent" ways to enhance the vitality of each sample space are defined,and the classified guidance suggestions are put forward.In addition,this paper also puts forward some suggestions for improving the spatial vitality of sample parks from the perspective of spatial environmental quality optimization.