Work

Classifications of Stations in Urban Rail Transit based on the Two-step Cluster

Year: 2020

Type: article

Abstract: Different types of stations have different functional roles in the urban rail transit network. Firstly, based on the characteristics of the urban rail transit network structure, the time series features and passenger flow features of the station smart card data are extracted. Secondly, we use the principal component analysis method to select the suitable clustering variables. Finally, we propose a station classification model based on the two-step cluster method. The effectiveness of the proposed method is verified in the Beijing subway. The results show that the proposed model can successfully identify the types of urban rail transit stations, clarify the function and orientation of each station.

Source: Intelligent Automation & Soft Computing

DOI: 10.32604/iasc.2020.013930

Authors: Wei Li, Min Zhou, Hairong Dong

Institutions: Beijing Jiaotong University, State Key Laboratory of Rail Transit Control and Safety

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

OpenAlex ID: W3013249682

FWCI: 2.006

Cites:

Cited by: 15

Related to: 10