Current urban mobility trends go beyond infrastructure investments and integrating new technologies, reflecting new user requirements and regulations, and the increasingly rigorous and sustainable governance. Designing an urban mobility system and assessing its sustainability require a flexible holistic approach considering the complete life cycle of the system and interdependencies between its components. This paper proposes a novel methodological framework based on system engineering tools, aimed at helping public authorities designing and deploying new urban projects, accounting for the entire life cycle of the mobility system, evolving requirements of users, and sustainability. The main goal is to validate the proposed framework by simulations. A realistic case study employing the new framework showed its advantages, consisting of solving problems in a manner comparable to other methodologies, but adding flexibility in managing different data inaccessible to urban managers before allowing for defining effective urban mobility policies.
Rapid population growth and the number of vehicles in cities have complicated urban mobility management. Digitalization supported by the internet of things and wireless communication has allowed some cities to mitigate the problem by taking advantage of the multiple benefits offered. These are cyber-physical systems (CPS), which are systems where a number of devices collaborate for the control of physical entities. This recent technology finds its application in urban mobility. However, in the context of developing countries, there are many local specificities one needs to consider. How could the integration of cyber-physical systems help urban decision makers to design sustainable urban mobility systems that meet the needs of the population? The paper proposed not only a recent review of the literature, but also a framework of CPS of urban mobility to guide decision makers. The challenges, opportunities, and barriers to innovation of CPS in urban environments in developing countries have also been identified.
The uncontrolled urbanization in African cities with inadequate access to urban domestic waste, housing and sanitation management services (DWHSMS) generates landscapes that become places of the spread of many pathologies leading to many public health problems. The city of Yaoundé (Cameroon) is not an exception in this situation which exposes an urban population to the most recurrent diseases. The situation become more complex in the fact that, the performance of the policies and the actions undertaken implied in developing countries, is not known in a precisely. The information sources are dispersed, old and not coordinated. ICT can, at the service of the great causes like the sustainable urbanization and/or environmental health, constitute the irreplaceable ones and essential decision-making tools. For this purpose, integrated and interoperable YUSIIP platform has proposed and deployed. The objective of this article is to present this Domestic platform and to show its contribution in (DWHSMS).
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.
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