Contemporarily, with the emergence of big data and new technologies, it has given rise to new challenges and opportunities for the researchers when applying novel methodologies. The purpose of this research is to adopt big data and technology to estimate travel time, mobility cost and its impact on individuals’ saving in Islamabad. Data was extracted/collected form BYKEA, Google and a survey conducted in Islamabad. In doing so, the I divided the study area (Islamabad) into multiple zones. On the basis of which an initial frame work was developed to extract, analyze and visualize the data. The result found average travel in Islamabad along all the possible travel flow to be 35 mins, which fluctuate to 37 min during peak hours. Moreover, average mobility cost was calculated to be 22.5 per cent of an individual income, 12.5 per cent in monetary terms whereas the additional 10 per cent in time related cost. Ride-hailing was found to be the most expensive mode of mobility followed by car, public transport and motorcycle. Furthermore, the study also identifies major mobility patterns in the city and provided further recommendation for research. Supervisor:- Muhammad Aqeel Anwar