b'MUDD 24 URBAN NETWORKS|URBAN GATEWAYSRESEARCH THESIS SivasubramanianMuthusamyBehavioural Urbanism: methods for mapping active transport in streets of Central SydneyGreat streets make great cities and greatintensity of an activity that is impacted by the streets make great cities with great data. Thismorphology of a street itself as well as for research explores how to read the streets of athe limitations of accuracy that may appear. city, in terms of a methodological process usingThe study took cycling activity as its primary crowdsourced user data. The users of a streetspecimen of active transport and examined always leave evidence for a designer andthe dynamics of this activity in relation to the this constitutes the core value of Behaviouralbuilt environment of the street. Theresearch Urbanism. This research employs an empiricalis built on a multidisciplinary field of study analysis of user movement data to read thecalled Environmental Behaviour Studies 161 activities involved in a street and peoples(Moudon,1992). The research also undertook behavioural patterns that occur through time.a very detailed and granular observation of The temporal aspects of streets that are notcycling behaviour in the street via continuous visible explicitly are the essence that repeatsmapping of a space across time that yielded in patterns through systems interwoven in thepatterns of the space that can be used for complex tissue of everyday urban life. Activederiving parameters and principles for the transport in the streets of Central Sydneydesign of streets. has been examined, using crowdsourced data from STRAVA (2016),a website and mobile app used to track running and cycling activities. The field data was analysed for the MUDD 24 - Urban Gateways | Urban Networksnormal research page0131 8 PT.indd 4 26/11/2019 5:02:43 PM'