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 (Author), Yu, Liang (Author), Lee, Joseph Kang (Author), Senn, Oliver (Author), Ratti, Carlo (Contributor), Jaillet, Patrick (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Urban Studies and Planning (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2016-03-11T15:23:34Z.
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