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).
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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 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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