The research on the attraction range of urban rail transit stations has an important reference role in rail line planning,site selection design,and connection facility construction.In addition,it can also guide the land use development around the site.Under the background of rapid development of data technology,the attraction range of rail transit passenger flow can be further studied under the support of multi-source spatial data.This paper uses big data technology to collect and analyze spatial data.Through spatial modeling,data modeling and other methods,this paper studies the calculation method of passenger flow attraction range and passenger flow attraction intensity of rail transit stations under the spatial law,mainly including the following content:(1)Analyze the process of attracting passenger flow at rail stations,combining the characteristics of the attracting process,from the perspective of land use,site characteristics,traveler attributes and external traffic,etc.The influencing factors simply analyze the influencing effect;then introduce the commonly used station classification method based on the station function,propose the station classification method based on cluster analysis method,and form the research method for the subsequent orbit station classification combined with spatial data.(2)Acquire data based on the source and characteristics of relevant spatial data around the orbital site,and realize the fusion and integration of spatial data based on the Jaro-Winkler algorithm and the spatial superposition method to improve the usability and standardization of the data;Analyze and summarize the spatial laws around the orbital site,and lay the data foundation for building the model.(3)Due to the characteristics of the process of direct attraction of passenger flow at rail stations,considering the difficulty of obtaining data at pedestrian connection stations,a dot matrix distribution method based on Gaode map is proposed to solve the problem of data acquisition,and the theoretically direct range of actual passenger flow is calculated in theory;Then on the basis of the direct attraction range,the research formed the attraction intensity model within the site’s direct attraction range,and gave the corresponding algorithm.The calculation results can intuitively express the direct attraction intensity of different areas within the passenger attraction range.(4)Considering the possible randomness and volatility of the traffic data around the rail station,through model comparison and selection,a distance attenuation model combined with the gray system theory is proposed to study the indirect attraction range of the station,and further on the basis of the indirect attraction range The study of indirect attraction intensity provides an effective reference for the layout of the connection facilities around the site.(5)Taking Beijing Rail Transit as an example,the research method of this paper is used to calculate the attraction range and attraction intensity of the station passenger flow,and the effectiveness of the method is verified by comparing the calculation results of some office stations with the survey data. |