Analysis Of Spatial Activity Characteristics Of Residents In Urban Agglomeration Based On Mobile Phone Data

Urban agglomeration is the advanced stage of regional urbanization and the highest organization form of regional spatial form dominated by large cities.The planning of urban agglomerations is preceded by transportation planning and construction,which leads urban agglomerations to form a networked spatial pattern through transportation.Therefore,it is important to explore the relationship between the residential spatial-temporal travel behavior and the spatial structure of urban agglomerations for transportation planning.In recent years,with the popularity of smart mobile devices,more and more smart mobile devices are used to collect and process data.The new data sources,mainly mobile communication data,can obtain samples with high sampling rate at low cost.The data sets can capture the travel information of individuals in a complete way at the spatial scale of urban agglomeration.Multi-source data fusion can comprehensively observe individual mobility,provide powerful data source for modeling individual spatial-temporal travel and observing multi-level traffic travel demand in urban agglomeration.Based on the mobile phone data,taking urban spatial structure depicted by residential activities,this study proposed a methodology framework for decision making of structural problems in urban agglomeration.Borrowing the concept from semi-analytic finite element analysis for structural problems,this study discretizes the urban agglomerations into well-connected network communities as the basic analysis units,identify hierarchical structure of urban agglomerations,and establishes numerical expressions of characteristics for urban spatial structure from different dimensions including gravity,accessibility,and integration degree.A software system is also developed to provide a tool for supporting decision-making of network structure layout problems in urban agglomeration.In this study,the spatial connection structure of urban clusters is analyzed and discussed in the following aspects,and a decision-making methodology framework is formed on this basis.Data information refinement: This study proposes a set of processing and analysis framework based on mobile phone data.The identification method of important nodes and trips such as activity point,residence and workplace based on mobile phone data is proposed.Decoupling mobility in space: Decoupling and splitting population mobility in space,categorizing urban cluster trips with different characteristics and trip frequencies,which can provide support for the analysis of spatial linkage structure of urban clusters in subsequent chapters.Morphology and hierarchical expression of spatial structure: Based on the analysis method of network community discovery,this study extracts well-connected network communities from residents’ daily trips to form network in the Yangtze River Delta urban agglomeration.Meanwhile,this study observes and quantitatively describes their characteristics from multiple dimensions such as hierarchical characteristics,fractal characteristics,and gravitational characteristics.Evaluation and prediction of structural problems of spatial linkage: The hierarchical community structure formed by the spatial linkage of the urban agglomeration is used as the basic analysis unit,and the accessibility and network connectivity of the spatial structure are evaluated and analogized to predict the scale of passenger flow of the line to be built.The new decision-making method system is established to support the structural issues in the top-level design of comprehensive transportation networks,and thus enhance the decision-making ability of crossadministrative outline and framework planning.On this basis,the software system for accessibility analysis of city clusters will be developed to provide powerful decision support tools for multi-level rail transportation planning and network structure layout optimization in the Yangtze River Delta city cluster.This study discusses and analyzes the spatial activity characteristics of urban agglomeration residents based on the mobile phone data.In general,this study focuses on the decoupling,measuring,characterizing,and evaluating the spatial structure of urban agglomerations.The results of this study reveal the relationship between residential travel demand and the spatial structure of urban agglomerations,which has high potential applicability for the study of spatial behavior in urban agglomerations.The conclusion of this study can enhance the ability of city planners and decision makers to accurately grasp transportation development trends and has broad application prospects for future macro-decision analysis.