Uploaded on 2015-04-19 by DBRMIC011

There are many streams of invisible information which can be extracted from the city but for the purpose of this submission I will be focusing on movement. Movement has defined the growth of cities world wide as routes, destinations and points of origin influence the growth of the city. In the picture below one can see a view of Cape Town towards Table Mountain and Lions Head which are covered in clouds. The primary road which can be seen in the photograph is called Buitengracht (outside edge) and once defined the edge of the old historical city. Today the city has grown up the slopes of the mountain changing what was was agricultural hinterland into prime residential property. In extracting the invisible information which is presented I will focus on the data collection of movement. **The first** being the smartphone which is able to geo-locate people and can be used to map peoples movement in the city. **The second** is the newly implemented BRT Mycity bus service which enables the ability to extract trip generation data as people enter and exit buses using smart cards. **The third** is the hugely successful uber taxi service that has taken Cape Town by storm, with this service one is also able to map forms of trip generation. These data sources can intern begin generating interesting information as to how and when people move through the city morphology giving service providers a better understanding of the early mentioned routes, destinations and points of origin which fundamentally impact the growth of the city. Comparatively assessing this information enables a greater understanding of relationships between the data sets. An improved bus service could be created by by comparing the routes and trips of BRT users to information gather from phones and uber users. 1. In doing so links within the city may show invisible connections between areas which bus's do not service or 2. alternatively indicate that people on the slopes of the mountain prefer using uber taxis or private vehicles rather than making the steep trek up the hill from the bus stops. 3. Equally this information can be used to map the movement of people over time and may illustrate a need for longer service times on particular routes or 4. the need for new connections at different times of the day perhaps connecting the vibrant nightlife centers of green point and long street. Such information may in-turn be used to create a more effective bus service which makes the city more live-able for its citizens while creating a more economically viable transport system. Ultimately the information also creates a dynamic system which aligns to how the constant change and fluctuation of how people move within the city. [1]: https://s-media-cache-ak0.pinimg.com/originals/55/8a/7c/558a7ce2dcb5fbc62137379715128d0f.jpg