Mitigating complexity to enhance sustainability governance of intelligent mobility: A system engineering-based methodological framework
Mitigating complexity to enhance sustainability governance of intelligent mobility: A system engineering-based methodological framework

Author(s): Justin Moskolai Ngossaha, Alexandru-Ionuţ Petrişor, Raymond HOUÉ NGOUNA, Bernard Archimède
Subject(s): ICT Information and Communications Technologies, Transport / Logistics
Published by: INCD URBAN-INCERC
Keywords: sustainable urban mobility; complexity management; system engineering; decision-making
Summary/Abstract: Widely recognized for its ability to ensure sustainability and respond to citizens' needs, future mobility has enabled the development of innovative services and infrastructures, based on intelligent systems to support the different modes of transport. Current trends go beyond investment in infrastructure and the integration of new technologies but reflect new user requirements, regulations and increasingly stringent governance. In this context, the design of such a system, as well as the assessment of its sustainability, requires a holistic approach that considers the complete life cycle of the system and the interdependencies between its components. In the literature, there are several approaches to characterize and design an urban mobility system considering the new requirements of sustainability, as well as reference architectures to guide decision-makers in their design. However, from the perspective of urban managers, these methods and architectures do not always provide a formal framework for managing complexity, coordinating decision-making and considering user needs and sustainability. In this paper, a methodological framework based on system engineering tools has been proposed to help public authorities in designing and deploying new urban projects, considering the entire life cycle of the mobility system. An attempt at implementation through a case study shows the flexibility to manage different types of data to which urban managers did not have access until now, and which make it possible to define effective urban mobility policies. A validation of the methodological framework proposed by simulation will be the main perspective of this work.

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