Inferring individual daily activities from mobile phone traces: A Boston example

Understanding individual daily activity patterns is essential for travel demand management and urban planning. This research introduces a new method to infer individuals' activities from their mobile phone traces. Using Metro Boston as an example, we develop an activity detection model with tra...

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Bibliographic Details
Main Authors: Ratti, Carlo (Contributor), Zhu, Yi (Contributor), Ferreira Jr, Joseph (Contributor), Diao, Mi, Ph. D. Massachusetts Institute of Technology (Author)
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning (Contributor), Massachusetts Institute of Technology. Media Laboratory (Contributor), Massachusetts Institute of Technology. SENSEable City Laboratory (Contributor)
Format: Article
Language:English
Published: SAGE Publications, 2019-01-18T14:59:35Z.
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