The Potential of Using Volunteered Locational Data in Planning for Smart Multi-Mobility Systems

Development of smart mobility systems in recent literature has received great interest, as many cities thrive to become smarter. As mobility plays an integral part in shaping citizens' lived experiences, improvement of mobility modes would lead to better quality of life in the city. Also given the correlation with economic activities within the city, investment into smart mobility systems promises many capabilities for cityplanners. To achieve this aim, the paper proposes the examination of factors which determine demand and supply capability of public transport systems (namely the Gaubus, a form of Bus Rapid Transit in Johannesburg, South Africa). Using an empirical research design, and quantitative data in the form of questionnaires and spatial data we determined the factors which influence demand and supply. A set of indicators were consequently developed to score these factors. The results reveal that commuter mobility choice is dependent upon distance travelled to bus/train station and also availability of alternative connecting points to other forms of mobility. Hence to promote the use of public transportation in the city, there is a need to improve connectivity between the various modes of mobility