Portrait Of Urban Population Based On Lbs Data

In the critical period of rapid urbanization,cities are also faced with a variety of urban diseases,including urban sprawl,traffic congestion,housing tension,disorder and many other issues.The above urban problems can be seen as a reflection of the inability of urban space to fully meet the needs of urban populations.It also reflects that urban spatial urban resources have not been rationally and fully utilized by urban populations,exposing the sharpness of problem that relationships of “people and land” do not match.The relationship between "people and land" is the core issue of urban planning.Existing research shows that,the research on "land" has formed a relatively mature theoretical basis and practical method after the accumulation of many generations of scholars while the research on "human" has gradually become the rising direction of planning research in recent years.Especially for the diverse groups of people in contemporary cities,their lifestyles are no longer singular and standardized,but tend to be diversified and personalized,resulting in a complex behavior pattern.How to use the cutting-edge technical means to subdivide the people in different behavior patterns in the city,identify their spatial and temporal differentiation characteristics,and portray them,has become the core and predecessor of this type of research.This paper attempts to extract the spatial and temporal differentiation characteristics of urban population behavior by mining the LBS positioning data.On the one hand,it depicts the behavioral portrait in the city;on the other hand,it depicts the crowd portrait with three labels: space,time and behavior.Put the crowd research into the space and propose the optimization strategy of urban space.The content structure of this paper can be combed into five major parts: theoretical review-measurement method-data mining-behavioral portrait-crowd portrait.Among them,the first chapter is a theoretical review,expounding the theoretical evolution and trend of urban population research,as well as the background and research progress of time and space behavior.The second chapter is the measurement method,expounds the origin and application of LBS data,summarizes the several directions of LBS data used to measure the spatiotemporal behavior research,and proposes the technical route and data processing method to study the spatiotemporal behavior of population using LBS data.The third chapter is the data analysis chapter of this paper.The data mining layer is progressive.Firstly,the DBSCAN algorithm is used to identify the stop points of the track points.Secondly,according to the Markov algorithm,the space-time behavior of the crowd is identified.The fourth chapter,based on the different behaviors of the crowd,depicts the overall behavior,living behavior,work behavior,life service behavior,leisure behavior,and the spatial and temporal distribution characteristics of recreational behavior,mainly reflected in the spatial distribution characteristics of these behaviors under different time slices.Four behavioral areas are proposed: strong mixed behavior,weak mixed behavior,single behavioral behavior,and sparse behavioral zone.The fifth chapter is the "crowd portrait" portrayal of price increases.Firstly,the classification of people in terms of space,time and behavior is constructed.Based on this,the population of Weihai in the case city is subdivided into 147 categories,and the most typical ones are summarized.Fourteen groups of people.And trying to return to the space,portraying the spatial distribution of the people under different portraits;finally,taking the "two-one-one online class" as an example,the application scene of the precise crowd portrait is depicted.In general,this paper explores a method of studying the spatiotemporal behavior of urban populations with LBS data,and attempts to portray behavior portraits and crowd portraits.The research on crowd portraits in urban planning is still rare.The method of characterizing space,time and behavior proposed in this paper is not optimal.It is only a kind of program framework exploration,which deserves further deepening in subsequent research.How to apply the study of crowd portraits and implement them into space is also a key issue in follow-up research.This paper attempts to provide a research perspective and analysis ideas for urban planning by portraying their spatial distribution and spatial connections.