After 1 million trips, Barclay Cycle Hire sought to analyse the utilization pattern of its bike renting scheme for the city of London. The data contained only docking station entries such as location, bike number and time of pick-up and same categories for drop-off. No journey data existed and from the available data only docking station usage could be analysed and neighbourhood connections visualized.
In order to analyse also the utilization of the city by Barclay bikes, SUPERSPACE (then Aedas R&D) conducted research on cyclists’ route choice behaviour and encoded the resulting behavioural decisions into an algorithm that could interpret the street network of London. The raw data was interpreted and spatialized for every time unit (minute) of the data set for the 1 million trips, resulting in a real-time simulation of the approximate street network usage by the bike hire scheme.
The software visualizes cyclist preferred routes between the data entries (pick-up to drop-off), shows number of bikes per street segment (cycling traffic), allows for fast forwarding to identify pattern and compares the amount of CO2 in kg saved compared to taxi, bus and tube.
Clear utizliation pattern across London and time segments result and the behavioural model can be used to plan cycling routes, docking station capacities and other amenities for cyclists – or vice versa: identify where to place amenities along the predicted routes. London Borough of Ealing collaborated with SUPERSPACE on the planning of an extension of the cycle hire scheme around the multi-modal interchange hub of the new CrossRail station at Ealing Broadway.