Abstract
Plans for smart mobility through cycling are often hampered by lack of information on cycling patterns and trends,
particularly in cities of the developing world such as Johannesburg. Similarly, traditional methods of data collection
such as bicycle counts are often expensive, cover a limited spatial extent and not up-to-date. Consequently, the dataset
presented in this paper illustrates the spatial and temporal coverage of cycling patterns and trends in Johannesburg for
the year 2014 derived from the geolocation based mobile application Strava. To the best knowledge of the authors,
there is little or no comprehensive dataset that describe cycling patterns in Johannesburg. Perhaps this dataset is a tool
that will support evidence based transportation planning and smart mobility.