The impact of privacy protection measures on the utility of crowdsourced cycling data

• Published in: Journal of transport geography Vol. 92; p. 103020
• Main Authors: Raturi, Varun, Hong, Jinhyun, McArthur, David Philip, Livingston, Mark
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.04.2021; Elsevier BV
• Subjects: Criteria; Crowdsourced data; Crowdsourcing; Cycling; Impact analysis; Infrastructure; Privacy; Spatial autocorrelation; Strava; Infrastructure; Privacy; Strava; Cycling; Crowdsourced data; Spatial autocorrelation

The use of new forms of data in the transport research domain is rapidly gaining popularity. However, these data come with specific challenges and one of the major concerns is maintaining the privacy of data subjects. One widely used approach to anonymise the data is to apply binning. Recently, data...