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Analysis Of Land Use Impact On Rail Transit Station Passenger Flow And Update Of Land Attributes

Posted on:2024-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:J SongFull Text:PDF
GTID:2542307157468164Subject:Traffic and Transportation Engineering
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The rail transit station is the link between the rail transit system and the outside world,and its passenger flow not only reflects the size of the passenger flow in and out of the station,but also is the "source" of the passenger flow of the rail transit network.Land use is the source of attraction for all transportation trips,and the spatial and temporal distribution of station traffic is strongly related to land use.However,the incompatibility between rail transit construction and urban land development has led to the lack of obvious role of rail transit in guiding urban spatial structuring.Therefore,seeking a coordinated development path between urban rail transit and land use is a key prerequisite for implementing urban renewal and rational expansion of urban space.Taking rail transit in Xi’an city as an example,this paper conducts regression analysis on rail transit station passenger flow and land use from 2012-2019 based on rail transit AFC data and POI data to explore the degree of influence of different land uses on passenger flow in different periods.On this basis,the reasons for the differences in rail transit passenger flow are explored,and the coordination degree of rail transit stations and land use is evaluated,and then targeted suggestions are made for updating the land attributes around the stations.Firstly,the distribution characteristics of passenger flow in time and space are analyzed for the passenger flow data of rail transit stations in Xi’an,and the classification of rail transit stations is carried out by the algorithm of K-means++ based on the time distribution characteristics,based on which the direct attraction range of different types of stations is determined by using the theory of aggregation effect.Then the POI data were obtained and processed for classification,and the types of POI were clarified and weighted for land attributes.Next,the evolution of passenger flow and land use of rail transit stations was analyzed.The changes of passenger flow and the changes of land use from 2012-2019 were counted respectively.On this basis,the changes of passenger flow and land use of typical stations are selected for statistical analysis,so as to get a more intuitive feeling of the changing characteristics of passenger flow and land use in different periods.Then,the regression analysis of passenger flow and land use of rail transit stations is conducted.Firstly,the interaction between land use and passenger flow is discussed in terms of land attributes,land development intensity,urban spatial land layout,and land attribute mix,respectively.Subsequently,a geographically weighted regression model is adopted to study the relationship between passenger flow and land use at different periods for each type of stations,and to clarify the influence of each influencing factor on passenger flow of rail transit stations in time and space.The results show that: in time,the degree of influence of each influencing factor on passenger flow varies in different periods,mainly because different land use attributes generate passenger flow for different travel purposes,which leads to different passenger flow in time;in space,because different stations are located in different districts,the land use variability between urban center and urban periphery is large,which causes the uneven distribution of passenger flow in space.Finally,the passenger flow difference and land property update of rail transit lines are discussed.The difference in passenger flow between two different lines in the same direction and the difference in land use along the lines are analyzed,and the data envelopment analysis is used to evaluate the coordination of stations along the lines,analyze the current land use around the different types of stations and make suggestions for updating.
Keywords/Search Tags:Rail Transit, Land Use, Direct attraction range, Geographically weighted regression, Land Property Updates
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