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Analysis On Spatiotemporal Fcharacteristics Of Combinecidrail Transit And DiDi Jcsourney Based On Big Data Analyzing

Posted on:2021-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:Z M XingFull Text:PDF
GTID:2392330605967784Subject:Engineering
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With the rapid progress of urbanization,the population in cities is growing vigorously,and the size of cities has been further expanded.The rapid expansion of cities and the increasing amount of traffic have put forward more urgent requirements for a more in-depth analysis of the characteristics of urban residents' travel behaviors and the rational planning of urban land types and transportation.In addition,the emergence of the Didi ride-hailing service also conformed to the development trend of the Internet era,in line with the living habits of the majority of young people,and was highly sought after by people;urban rail transit,as an independent rail transit system,is no longer affected by the ground The impact of road conditions has the advantages of large traffic volume,punctuality,environmental protection,high safety,and less land occupation.It has become the preferred method for people to going out.Therefore,it is of broader significance to study the joint travel of Chengdu Metro and Didi.Based on the GPS data(including OD and boarding and alighting time)of Didi Travel in the main urban areas of Chengdu in November 2016,this paper studies the time and space dimensions of the characteristics of Chengdu residents 'travel.The main research is on the spatiotemporal characteristics of Didi trip data within a certain range of 22 stations of Chengdu Metro Line 1,and analyzes that In the two parts of working day and rest day,the spatial analysis is carried out in combination with the situation of getting on and off the bus in each time period,with the peak time as the focus.Beyond that,GIS is also used to analyze the whole day of workdays / weekends based on nuclear density analysis tools Travel hotspots and hotspots during weekdays / weekends reveal the spatial characteristics of residents' travel.In addition,it also defines the basis for selecting spatial samples,and taps the potential rules of passenger flow distribution to represent the distribution of samples.It mainly discusses the method of projecting the data coordinates of the source data and the target base map in different coordinate systems.The influence of spatial geographic location on the radiation range of entrances and exits of subway stations,data screening and classification,clustering of rail transit stations,classification of land use functions at entrances and exits of different stations,and analysis of time and spatial travel characteristics of data samples based on nuclear density analysis.The main result of density analysis is the reflection of spacetime characteristics,including comparison and analysis of different transfer directions,different geographical locations,different times and moments,passenger density distribution,regularity of time evolution,and spatial distribution characteristics.Taking the time flow as the base axis and the spatial position as the plane axis,the obtained density results are used as the vertical axis to make a multi-dimensional three-dimensional illustration with spacetime characteristics.This article uses the method of sample density to analyze the spatio-temporal characteristics,and further explores the applicable research content and scope of this method.The targeted real-time optimization based on the spatio-temporal characteristics of the traffic guidance of subway station entrances and exits will help cities with limited Make rational allocation of transportation resources.
Keywords/Search Tags:Big Data, Rail Transit, Didi Travel, Cluster Analysis, Spatiotemporal Characteristics
PDF Full Text Request
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