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...
Main Authors: | Holleczek, Thomas, Yu, Liang, Lee, Joseph Kang, Senn, Oliver, Ratti, Carlo, Jaillet, Patrick |
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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
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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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