An Evaluation Method For The Coordinated Development Of Urban Rail Transit And Built Environment Considering Ridership

In the process of urbanization,in order to achieve high-quality integrated development of rail transit and urban space,it is important to monitor and evaluate the degree of coordinated development of rail transit stations and the built environment in the neighborhood.When studying the coordination of rail transit and built environment,besides considering the coordination of the development of external spatial material elements such as land resources and transportation facilities,it is also necessary to focus on the influence of the system’s internal users(passengers)on the coordination in the development process.By coordinating the relationships between urban rail transit ridership and transportation development and built environment development,it will help to shape a people-oriented and sustainable urban rail transit system.This paper focuses on the relationship between urban rail transit and built environment as well as passenger flow.Taking Beijing’s urban rail transit as the research object,this paper combines the acquired multi-source data of built environment,urban rail transit swipe card and population attributes to identify the important factors affecting passenger travel and establish a suitable model to explore the mechanism of the built environment’s role on urban rail transit passenger flow and how the nodes,places and design values should be coordinated with passenger flow.The research covers the following three main areas:(1)To address the problem that traditional coarse-grained urban data are difficult to finely analyze the built environment,this study uses Python crawlers to crawl finegrained data such as POI/AOI,isochrones,and enterprise data from big data platforms such as Gaode Map,Mapbox,and Tianyancha website.The research data are obtained through spatial fusion and statistical aggregation.At the same time,the research scale of this paper-walking isochrone-is established in the process of data acquisition to set a reasonable range of station influence for the study of the relationship between urban rail transit and built environment and ridership.(2)Based on the current international “5Ds” of built environment,multiple indicators such as job density,land use mixed entropy,and public transportation accessibility are used to describe the built environment.A Bayesian network causality test is used to determine whether there is a significant causal relationship between built environment and ridership;based on the causality test,global and local regression analysis models are used to analyze the validity of the causality test.The results show that there exist causal relationships between built environment elements and ridership,and ridership should be considered as an important factor when analyzing the coordination between built environment and urban rail transit;Bayesian network learning can effectively filter built environment indicators that have significant effects on ridership,ensuring a more concise and explanatory model.(3)By adding the value of “Ridership” as the fourth dimension,this paper establish the “Node-Place-Design-Ridership” model for assessing the regional coordination of urban rail transit stations.Taking Beijing as the study area,the coordination of node dimension,place dimension,design dimension and ridership dimension is studied to assess the level of coordinated development of station areas;a self-organizing graph cluster analysis method is proposed to identify station development patterns based on value characteristics,and urban rail transit stations are classified into different categories to propose targeted optimization strategies.