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2014•Unpublished venueRequires access

Deriving Travel Behavior Data of Urban Subway Passengers from Mobile Phone Network

Yongkai Hu, Binbin Yang, Xiangfeng Ji, Jian Zhang, Jianqiang Nie

Open publisher page 2 citations

Abstract

The subway is an important transportation mode in large cities. Subway operators need travel behavior data of subway passengers to improve their service level. In this paper, a traffic collection method based on wireless communication technology is reviewed and compared. A method to derive information from cell-ID and HO data based on the special settlement of underground mobile communication base stations is proposed. The passenger volume and travel time - in both the subway network and subway station - can be drawn, which will support the operation management and travel navigation.

About this research paper

What this paper is about

The subway is an important transportation mode in large cities. Subway operators need travel behavior data of subway passengers to improve their service level. In this paper, a traffic collection method based on wireless communication technology is reviewed and compared. A method to derive information from cell-ID and HO data based on the special settlement of underground mobile communication base stations is proposed. The passenger volume and travel time - in both the subway network and subway station - can be drawn, which will support the operation management and travel navigation.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The subway is an important transportation mode in large cities. Subway operators need travel behavior data of subway passengers to improve their service level. In this paper, a traffic collection method based on wireless communication technology is reviewed and compared. A method to derive information from cell-ID and HO data based on the special settlement of underground mobile communication base stations is proposed. The passenger volume and travel time - in both the subway network and subway station - can be drawn, which will support the operation management and travel navigation.

Key concepts: Mobile phone, Transport engineering, Computer science, Base station, Floating car data, Subway station, Service (business), Mobile telephony

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