In recent years,with the rapid advancement of urbanization in China,the expansion and extension of urban spatial scope have led to a significant increase in the number of motor vehicles within cities.Consequently,traffic congestion,environmental pollution,greenhouse gas emissions,and energy consumption have become increasingly severe challenges faced by large cities.In order to address the challenges posed by rapid urbanization,the construction of rail transit has entered a period of rapid development,and Transit-Oriented Development(TOD)has gradually become an important form of organizing urban spatial structures in major cities.The TOD model refers to the planning and construction of mixed-use communities within the spatial scope of rail transit stations(i.e.,within walking distance of rail transit stations and surrounding core commercial areas),integrating residential,commercial,office,and public activity functions.Traditional TOD development focuses on the functions surrounding individual stations and can be understood from the perspective of"place space".However,the TOD development approach based solely on the"place space"perspective of individual station areas overlooks the spatial connections of urban rail transit,resulting in lower levels of functional connectivity between station areas.This leads to issues such as inadequate passenger aggregation and convenience of services,uneven distribution of daily passenger flows around rail transit stations,and insufficient passenger sources.Therefore,analyzing the functional structure of urban rail transit systems is crucial for establishing urban spatial structures centered around rail transit.This aids in optimizing urban spatial layout,promoting the integration of transportation and land use,and thereby driving sustainable urban development.Currently,with the rise of urban spatiotemporal big data research,we have access to smart card data from rail transit systems.This data records the entry and exit swipe times and station information for each rail transit passenger,offering advantages such as large sample size,high precision,and detailed spatiotemporal information.Utilizing smart card swipe data,it can not only statistically analyze the hourly passenger flow time series for each rail transit station,characterizing the"place space"of rail transit station areas,but also track the spatiotemporal connections of passengers boarding and alighting between stations,establishing passenger origin-destination(OD)relationships between stations,thus representing the spatial interaction"flow space"of rail transit station areas.The similarity of passenger flow time series between stations can be used to classify and infer the functional attributes of station areas,while passenger flow connections between stations are important reflections of spatial interaction relationships between station areas.The functional attributes and spatial interactions of rail transit station areas enable the formation of hierarchical functional structures among TODs with different characteristics.Therefore,integrating the perspectives of"place space"and"flow space"to analyze the hierarchical functional structure characteristics of urban rail transit systems has become a key issue in the planning and development of urban rail transit.This study proposes a hierarchical functional structure analysis method termed"station area-station cluster-station group",utilizing traffic card data and emphasizing the functional similarity and adjacency of rail transit station areas.Using the Shanghai rail transit system as an example,the research methodology includes:(1)constructing continuous passenger flow time series to represent the land use functions of individual station areas and classifying station area functional types based on time series characteristics;(2)delineating adjacent station areas with similar travel patterns and land use functions as station clusters;(3)employing community detection algorithms to analyze passenger flow interaction networks between station clusters and identify station groups.The research findings indicate that this method integrates perspectives from both spatial and flow space,which is significant for understanding the functional structure characteristics of large-scale urban rail transit systems and providing multi-level spatial optimization recommendations for their development.Based on the functional attributes of urban station areas and the spatial interaction between them,this paper proposes a hierarchical analysis of the functional structure of rail transit systems,termed"station-site-group".This provides a new approach and method for the hierarchical and systematic analysis of the functional structure of urban rail transit systems.The research methodology facilitates the transition of TOD planning from"individual station area planning"to"station group integrated planning",effectively enhancing the integration level of urban rail transit and land use development.
urban rail transitfunctional structurecommunity detection algorithmtraffic card big dataflow space
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