Understanding the flows of people moving through the built environment is a vital source of information for the planners and policy makers who shape our cities. Smart phone applications enable people to trace themselves through the city and these data can potentially be then aggregated and visualised to show hot spots and trajectories of macro urban movement. In this paper we present some preliminary findings using cycle data collected from a smart phone application known as RiderLog. We focus on the RiderLog application in the context of Sydney, Australia, and discuss the procedures and challenges in processing and cleaning this data before any analysis can be made. We then present some preliminary maps results visualised with the CartoDB online mapping platform. We conclude the paper by highlighting some of the key challenges in working with such data and outline some next steps in processing the data and conducting higher volume and more rigorous analysis.

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