Exploration of time use by citizens based on their movement tracks

The method is described in the paper "Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces" DOI: 10.1177/1473871615581216 Abstract Mobility diaries of a large number of people are needed for assessing transportation infrastructure and spatial development planning. Acquisition of personal mobility diaries through population surveys is a costly and error-prone endeavour. We examine an alternative approach to obtaining similar information from episodic digital traces of people’s presence in various locations, which appear when people use their mobile devices for making phone calls, accessing the Internet or posting georeferenced contents (texts, photos or videos) in social media. Having episodic traces of a person over a long time period, it is possible to detect significant (repeatedly visited) personal places and identify them as home, work or place of social activities based on temporal patterns of a person’s presence in these places. Such analysis, however, can lead to compromising personal privacy. We have investigated the feasibility of deriving place meanings and reconstructing personal mobility diaries while preserving the privacy of individuals whose data are analysed. We have devised a visual analytics approach and a set of supporting tools making such privacy-preserving analysis possible. The approach was tested in two case studies with publicly available data: simulated tracks from the VAST Challenge 2014 and real traces built from georeferenced Twitter posts.

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Additional Info
Field Value
Accessibility Both
AccessibilityMode Download
Basic rights Temporary download of a single copy only
CreationDate 2016-03-01
Creator Andrienko, Gennady, gennady.andrienko@iais.fraunhofer.de, orcid.org//0000-0002-8574-6295
External Identifier DOI: 10.1177/1473871615581216
Field/Scope of use Non-commercial only
Item URL http://data.d4science.org/ctlg/ResourceCatalogue/exploration_of_time_use_by_citizens_based_on_their_movement_tracks
Owner Andrienko, Gennady, gennady.andrienko@iais.fraunhofer.de, orcid.org//0000-0002-8574-6295
RelatedPaper http://dx.doi.org/10.1177/1473871615581216
Sublicense rights No
Territory of use World Wide
ThematicCluster Human Mobility Analytics
UsageMode Download
input see http://geoanalytics.net/and/papers/placeSemantics/
output see http://geoanalytics.net/and/papers/placeSemantics/
system:type SoBigData.eu: Method
Management Info
Field Value
Author Andrienko Natalia
Maintainer Andrienko Natalia
Version 1
Last Updated 21 April 2017, 16:33 (CEST)
Created 8 November 2016, 12:16 (CET)