Detecting weak public transport connections from cellphone and public transport data

Many modern and growing cities are facing declines in public transport usage, with few efficient methods to explain why. In this article, we show that urban mobility patterns and transport mode choices can be derived from cellphone call detail records coupled with public transport data recorded from...

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Bibliographic Details
Main Authors: Holleczek, Thomas, Yu, Liang, Lee, Joseph Kang, Senn, Oliver, Ratti, Carlo, Jaillet, Patrick
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2016
Online Access:http://hdl.handle.net/1721.1/101682
https://orcid.org/0000-0003-2026-5631
https://orcid.org/0000-0002-8585-6566

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