Activity detection with google maps location history data: Factors affecting joint activity detection probability and its potential application on real social networks

Author:

Parady Giancarlos,Suzuki Keita,Oyama Yuki,Chikaraishi Makoto

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Transportation

Reference23 articles.

1. Social networks, social interactions, and activity-travel behavior: a framework for microsimulation;Arentze;Environ. Plann. B, Plann. Des.,2008

2. Detecting interpersonal relationships in large-scale railway trip data;Asatani;J. Comput. Soc. Sci.,2018

3. “Social networks and travel: Some hypotheses”, Social dimensions of sustainable transport: transatlantic perspectives;Axhausen;Ashgate Aldershot,2005

4. Bays, J., & Karabiyik, U. (2019, April). Forensic analysis of third-party location applications in android and ios. In IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 1-6). IEEE.

5. We want it all: experiences from a survey seeking to capture social network structures, lifetime events and short-term travel and activity planning;Calastri,2018

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