Potentials of Online Media and Location-Based Big Data for Urban Transit Networks in Developing Countries

Big data, collected in the form of social media posts and mobile phone location tracking, have great potential to inform and manage the planning and operation of transit networks in developing countries. Data are widely available, but the challenge, as with developed countries, is figuring out how best to use it. A case study method was used to consider approaches in Nairobi, Kenya; Istanbul, Turkey; and Dhaka, Bangladesh. In Nairobi, GPS location data were collected to generate the first map of the complex Matatu transit network. In Istanbul, automated fare collection systems were processed to understand better the usage of a bus rapid transit system. In Dhaka, researchers were collecting GPS positioning data to manage the city bus networks. Residents of these developing cities were frequent users of online media, as in many cities in the developing countries. This study revealed that integration of online media with location-based data provided a big data scenario that had the potential for supporting t...