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...

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Bibliografiske detaljer
Main Authors: Ratti, Carlo, Zhu, Yi, Ferreira Jr, Joseph, Diao, Mi, Ph. D. Massachusetts Institute of Technology
Andre forfattere: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Udgivet: SAGE Publications 2019
Online adgang:http://hdl.handle.net/1721.1/120100
https://orcid.org/0000-0003-2026-5631
https://orcid.org/0000-0003-0600-3803