Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore
In this study, with Singapore as an example, we demonstrate how we can use mobile phone call detail record (CDR) data, which contains millions of anonymous users, to extract individual mobility networks comparable to the activity-based approach. Such an approach is widely used in the transportation...
Main Authors: | Jiang, Shan, Ferreira Jr, Joseph, Gonzalez, Marta C. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
Format: | Article |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2019
|
Online Access: | http://hdl.handle.net/1721.1/120769 https://orcid.org/0000-0002-3483-5132 https://orcid.org/0000-0003-0600-3803 https://orcid.org/0000-0002-8482-0318 |
Similar Items
-
Inferring individual daily activities from mobile phone traces: A Boston example
by: Ratti, Carlo, et al.
Published: (2019) -
Inferring modes of transportation using mobile phone data
by: Eduardo Graells-Garrido, et al.
Published: (2018-12-01) -
A review of urban computing for mobile phone traces
by: Jiang, Shan, et al.
Published: (2013) -
Investigating modern-day talaria : mobile phones and the mobility-impaired in Singapore
by: Chib, Arul, et al.
Published: (2014) -
Inferring friendship network structure by using mobile phone data
by: Eagle, Nathan N., et al.
Published: (2010)