Rail transit station classification method based on big data

A technology of rail transit and classification method, applied in the field of rail transit station classification based on big data, can solve the problems of insufficient data utilization and insufficient object classification of stations, so as to speed up the solution speed, solve the problem of classification of rail transit stations, and strengthen innovation and improvement. applied effects

Active Publication Date: 2019-11-01
TIANJIN MUNICIPAL ENG DESIGN & RES INST
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Problems solved by technology

[0006] Through the analysis of the background technology above, we can see that most of the existing researches in China classify stations based on field survey data or land use around the stations; foreign classification methods combine urban characteristic...

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  • Rail transit station classification method based on big data
  • Rail transit station classification method based on big data
  • Rail transit station classification method based on big data

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example

[0103] Example analysis Taking Tianjin as an example, the data selects Mobike's lock and switch data for the whole day on November 20, 2017. Shared bicycle data includes the following information: vehicle ID, location of the vehicle switch lock (that is, longitude and latitude coordinates), unlocking or closing the lock, operation status, enterprise code, time when data enters the database, and operation time of the switch lock. This study mainly uses the switch lock The operating time of the lock, unlock or lock (0 for lock, 1 for unlock), vehicle ID, and the location of the switch lock (that is, the latitude and longitude coordinates). A vehicle is uniquely identified by its vehicle ID. In order to be consistent with the time point of shared bicycle data, the rail transit network in Tianjin as of November 20, 2017 was selected as the research object (such as Figure 7 , 8 shown). The basic data style is shown in Table 4, and the spatial representation of data points is as...

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Abstract

The invention discloses a rail transit station classification method based on big data. The method comprises the following steps: determining an average travel distance of shared bicycles; constructing a peripheral space buffer area of the rail transit station; constructing thiessen polygons around the rail transit stations; determining a rail transit station space influence range; obtaining interest points in the research range; counting the number of various interest points in the space influence range of the rail transit station; calculating an interest point dominance index and a uniformity index in the space influence range of the rail transit station; determining rail transit station classification indexes; and determining the type of each rail transit station according to the interest point dominance index and the interest point uniformity index of each rail transit station and the proportion of each interest point. According to the method, firstly, the space influence ranges ofdifferent rail transit stations are determined. The station types are determined based on actual rail transit station elements in the influence ranges. The high innovation and applicability are achieved. The problem of rail transit station classification can be reasonably and effectively solved.

Description

technical field [0001] The invention relates to a method for classifying rail transit stations. In particular, it involves a classification method for rail transit stations based on big data. Background technique [0002] Urban rail transit station is not only an important node and distribution point of urban transportation network, but also a regional place in a city. Due to the influence of different locations along the rail transit route, urban functions, and existing land use patterns, in the research on the development and utilization of space around urban rail transit stations, infrastructure connection planning, and passenger flow attraction characteristics, there are often differences between different types of stations. There are large differences. Therefore, it is necessary to classify the types of rail transit stations according to different functions and locations, and to discuss the differences between different types of stations. [0003] The two basic types...

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Application Information

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IPC IPC(8): G06F16/2458G06F16/28G06F16/29G06Q50/26
CPCG06F16/2465G06F16/29G06F16/285G06Q50/26
Inventor 王焕栋白子建马红伟柯水平房艳强郑利刘亚帝孙峣宋超群王凯
Owner TIANJIN MUNICIPAL ENG DESIGN & RES INST
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