Zhang, Y;
Cheng, T;
Aslam, NS;
(2019)
Exploring the relationship between travel pattern and social-demographics using smart card data and household survey.
In:
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.
(pp. pp. 1375-1382).
ISPRS: Enschede, The Netherlands.
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Abstract
Understanding social-demographics of passengers in public transit systems is significant for transportation operators and city planners in many real applications, such as forecasting travel demand and providing personalised transportation service. This paper develops an entire framework to analyse the relationship between passengers’ movement patterns and social-demographics by using smart card (SC) data with a household survey. The study first extracts various novel travel features of passengers from SC data, including spatial, temporal, travel mode and travel frequency features, to identify long-term travel patterns and their seasonality, for the in-depth understanding of ‘how’ people travel in cities. Leveraging household survey data, we then classify passengers into several groups based on their social-demographic characteristics, such as age, and working status, to identify the homogeneity of travellers for understanding ‘who’ travels using public transit. Finally, we explore the significant relationships between the travel patterns and demographic clusters. This research reveals explicit semantic explanations of ‘why’ passengers exhibit these travel patterns.
| Type: | Proceedings paper |
|---|---|
| Title: | Exploring the relationship between travel pattern and social-demographics using smart card data and household survey |
| Event: | ISPRS GeoSpatial Week 2019 |
| Location: | Netherlands |
| Dates: | 10 June 2019 - 14 June 2019 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5194/isprs-archives-XLII-2-W13-1375-2019 |
| Publisher version: | https://doi.org/10.5194/isprs-archives-XLII-2-W13-... |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Smart card data, Travel pattern, Social-demographics, Household survey, Relationships, Clustering |
| 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/10076816 |
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