Aslam, Nilufer Sari;
Barros, Joana;
Lin, Han;
Murcio, Roberto;
Bei, Honghan;
(2024)
Alighting location estimation from public transit data: a case study of Shenzhen.
Transportation Planning and Technology
10.1080/03081060.2024.2382247.
(In press).
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Abstract
This study proposes a framework to estimate alighting locations from Smart Card Data (SCD) that are absent information on entry-only public transport systems such as buses and trams. The proposed method uses the characteristics of SCD to (i) determine boarding locations from SCD and GPS-bus data based on exact match and time windows using common attributes, (ii) infer individuals’ home locations and user types from multimodal SCD, (iii) estimate alighting locations using inferred information with different scenarios such as with and without home locations based on the type of users. Reliable results are obtained once home locations are identified with high confidence for all user types. The proposed framework is applied to Shenzhen, China as a case study to validate the proposed model's effectiveness. The study offers valuable insight into aligning location estimation from user types to optimise the quality of public transport planning and services.
| Type: | Article |
|---|---|
| Title: | Alighting location estimation from public transit data: a case study of Shenzhen |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/03081060.2024.2382247 |
| Publisher version: | http://dx.doi.org/10.1080/03081060.2024.2382247 |
| Language: | English |
| Additional information: | © 2024 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 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
| Keywords: | Alighting location estimation; inferring user types; home location identification; trip chaining; smart card data |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10195948 |
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