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Analysis Of Spatial And Temporal Characteristics Of Urban Activity In Wuhan Based On Taxi Track Data

Posted on:2019-05-18Degree:MasterType:Thesis
Country:ChinaCandidate:Z F LiFull Text:PDF
GTID:2392330548968384Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
The continuous promotion of smart cities has prompted many cities to establish a taxi floating system,which provides a lot of t trajectory data that is a typical spatial-temporal data.Through the analysis of trajectory data,various analytical tools and methods are used,the behavior characteristics of urban residents in time and space can be found,so as to provide some theoretical basis for the good development of urban traffic and the rational planning of the city.At present,it has become a research hotspot to discover the changing rules of urban activity through taxi trajectory data.Taking the track data collected by more than 8000 taxis in Wuhan city of Hubei Province as the research object,this paper uses normal distribution method to find out the rule of taxi operation length and operation area in Wuhan,and uses grid clustering method to find the change rule of activity in different periods of Wuhan.Through the extraction of OD point of taxi track data in Wuhan,this paper gets the travel characteristics of the residents in Wuhan,whose main research steps are as follows:(1)The operating length and area of taxis in WuhanBy extracting about 1000 taxis a day's running length and area,this experiment carries out normal distribution verification to the length and area of all vehicles for a day respectively,and finds that the length and area of taxis in Wuhan accord with the normal distribution characteristics,so as to find out the driving mode of Wuhan taxis in most cases.(2)The spatiotemporal evolution of Wuhan's activityThis experiment carries out grid-based clustering analysis for more than 8000 taxi data in Wuhan.First of all,this experiment divides the city of Wuhan into a grid,and calculates the ID number of taxi in every grid and exclude the taxi data of the same ID number,so as to count the number of taxis in the grid.According to the number of taxis in the grid,this experiment divides the grid activity level according to the change rule of grid activity level at different time periods.(3)Travel characteristics of residents in WuhanThrough field calculation,this experiment gets the number of more than 8000 taxis getting on and getting off at different times,and counts the number of getting on times on weekdays and weekends as the number of trips to the residents,so as to find the law of change.
Keywords/Search Tags:trajectory data, normal distribution, grid-based clustering, urban activity
PDF Full Text Request
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