Study On The Application Strategy Of Big Data In Park Population Behavior Analysis

As an important part of urban green space,urban parks have become an ideal place for people's leisure activities in the context of rapid urbanization.The ideal place is the representation of form and content.Design is the material means to provide people with ideal leisure space.Traditional design The analysis of crowd behavior is based on the results of sampling survey and experience accumulation.The scientific and transferable design methods are relatively insufficient.Under the premise of crowded cross-over and multi-target demand,the corresponding design results It is often probable that the planning and design of urban parks at this stage has been partially labelled and symbolized.For the sake of form and form,it is unable to meet the people's growing needs for a better life.With the advent of the era of big data and the emergence of various new technologies,people can quickly and instantly obtain the full sample data of the population in the dynamic distribution of time and space.By processing and analyzing these terminal data,they can make up for the shortcomings of traditional design.Achieve the goal of optimizing the space of the city park.Through the understanding of big data and its application in other industry fields,this paper summarizes relevant technical methods from a rational point of view,taking Jinan Daming Lake Scenic Area as an example,using mobile phone signaling,Weibo data,Baidu thermal map and other technologies.The method is based on ArcGIS platform to collect,process and visualize the distribution data of population structure and crowd activity trajectory in time and space,and describe the characteristics of population in time and space distribution in urban parks.The design techniques are compared and the spatial optimization strategy of Daming Lake Scenic Area is proposed.The article aims to give planners a comprehensive and in-depth understanding of thebehavioral characteristics of urban parks in the context of big data,in order to explore the ways and means of “ people-oriented ” urban park landscape planning,promote the development of smart gardens,and build a harmonious and inclusive smart city.