Descrição

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 describes
cycling patterns in Johannesburg. Perhaps this dataset is a tool that
will support evidence based transportation planning and smart
mobility.