Zhang, Y;
Cheng, T;
Sari Aslam, N;
(2019)
Deep Learning for Demographic Prediction based on Smart Card Data and Household Survey.
In:
Proceedings of Geographic Information Science Research UK (GISRUK) 2019.
Geographic Information Science Research UK (GISRUK): Newcastle, UK.
Preview |
Text
GISRUK Paper.pdf - Accepted Version Download (225kB) | Preview |
Abstract
This study devotes to investigating the possibility of inferring demographics of passengers using smart card data (SCD) and household survey. We first represent SCD as a two-dimension image to capture travel patterns. Then, we propose to use a convolutional neural network for automatic feature extraction and demographic prediction, including age group, gender, income level and car ownership. The household survey data is used to train the deep learning model. Finally, a case study using on London’s Oyster Card and survey is presented and results show it is a promising opportunity for demographic study based on people’s mobility behaviour.
| Type: | Proceedings paper |
|---|---|
| Title: | Deep Learning for Demographic Prediction based on Smart Card Data and Household Survey |
| Event: | Geographic Information Science Research UK (GISRUK) 2019 |
| Location: | Newcastle |
| Dates: | 23 April 2019 - 26 April 2019 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://www.newcastle.gisruk.org/app/paper/88/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Smart card data, travel pattern, deep learning, demographic prediction |
| 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/10076885 |
Archive Staff Only
 |
View Item |
