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 travel d...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
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SAGE Publications
2019
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| Online Access: | http://hdl.handle.net/1721.1/120100 https://orcid.org/0000-0003-2026-5631 https://orcid.org/0000-0003-0600-3803 |