Abstract
The issue of mobility from disadvantaged areas to places of interest for work, health care, education, or entertainment poses specific challenges that cannot be approached under the same prism as that of well-resourced areas. In such areas, commuters are often captive of available transportation modes. However, very few studies have focused on identification of the key influential factors for satisfaction of these commuters. In this paper, we introduce an agent based modelling and simulation approach, to identify and classify these factors. We show, for the case study of a township in South Africa, that speed and quality of infrastructure are crucial factors, while waiting time and accessibility are to be improved; safety and driving style being to be watched. Recommendations are then provided to improve the service according to these factors.