Social Big Data for Improving Urban Mobility Services

Abstract

In the context of developing countries such as Cameroon, which is the case study, urban mobility is still mainly based on the traditional model, and the major tools of urban mobility governance are practically not in place. Only the main cities have an urban development plan. These cities are marked by poor knowledge of urban mobility issues due to lack of data and studies on the continuous monitoring of the performance of urban mobility. In this context, how can innovative solutions based on big data technologies and sophisticated approaches be integrated to address the challenges of sustainable urban mobility? In this study, a methodological framework based on a system engineering approach has been proposed to guide mobility decision makers and users in the implementation and use of urban mobility services. The result of this study helps to extract knowledge and massive data for a better decision making in the context of developing countries and proposes a model of urban mobility system to be deployed as a recommendation to decision makers.