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Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London

Sari Aslam, N; Zhu, D; Cheng, T; Ibrahim, MR; Zhang, Y; (2020) Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London. Annals of GIS 10.1080/19475683.2020.1783359. (In press). Green open access

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Abstract

The large volume of data automatically collected by smart card fare systems offers a rich source of information regarding daily human activities with a high resolution of spatial and temporal representation. This provides an opportunity for aiding transport planners and policy-makers to plan transport systems and cities more responsively. However, there are currently limitations when it comes to understanding the secondary activities of individual commuters. Accordingly, in this paper, we propose a framework to detect and infer secondary activities from individuals’ daily travel patterns from the smart card data and reduce the use of conventional surveys. First, we proposed a ‘heuristic secondary activity identification algorithm’, which uses commuters’ primary locations (home & work) and the direction (from & to) information to identify secondary activities for individuals. The algorithm provides a high-level classification of the activity types as before-work, midday and after-work activity patterns of individuals. Second, this classification is semantically enriched using Points of Interests to provide meaningful insights into individuals’ travel purposes and mobility in an urban environment. Lastly, using the transit data of London as a case study, the model is compared with a volunteer survey to demonstrate its effectiveness and offering a cost-effective method to travel demand research.

Type: Article
Title: Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/19475683.2020.1783359
Publisher version: https://doi.org/10.1080/19475683.2020.1783359
Language: English
Additional information: Copyright © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Nanjing Normal University. 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.
Keywords: Activity identification, smart card data, heuristic (rule-based) modelling, secondary activities, trip purpose, urban activity pattern
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/10106643
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