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How does interchange affect passengers' route choices in urban rail transit? - a case study of the Shanghai Metro

Cheng, Y; Ye, X; Fujiyama, T; (2021) How does interchange affect passengers' route choices in urban rail transit? - a case study of the Shanghai Metro. Transportation Letters: The International Journal of Transportation Research 10.1080/19427867.2021.1883803. (In press). Green open access

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Abstract

Interchange provides more flexibility in route choice, a key travel behaviour in urban rail transit, but its influence is usually simplified. This paper investigates how interchange affects route choice with passenger perception considered. At single-interchange level, perceived interchange time was proposed and modelled under three resolutions to capture passenger perception and its sensitivity. At route level, the influence of interchange was modeled by first comparing eight quantifications of interchange. Mixed logit models with the best interchange proxy were further developed to address the correlation among alternative routes and reveal the potential taste variations among passengers. Results based on Shanghai Metro data showed perceived interchange time, including passenger perception and interchange environment, better represents the influence of interchange in route choice, meanwhile the weights of interchanges on one route rise sequentially and non-linearly. The results can improve route choice prediction in demand modelling and route recommendation in advanced traveller information systems.

Type: Article
Title: How does interchange affect passengers' route choices in urban rail transit? - a case study of the Shanghai Metro
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/19427867.2021.1883803
Publisher version: https://doi.org/10.1080/19427867.2021.1883803
Language: English
Additional information: © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Keywords: Science & Technology, Technology, Transportation, Transportation Science & Technology, Urban rail transit, interchange, route choice, perception, regression models, discrete choice models
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10136513
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