A DATA-DRIVEN FRAMEWORK FOR MULTIDIMENSIONAL URBAN MOBILITY (MUM)

Authors

  • Faheem Ahmed
  • Kamran Dahri
  • Rida Sara Khan
  • Muhammad Yaqoob Koondhar
  • Raymond Houe Ngouna

Abstract

The escalating complexity of global urbanization necessitates a fundamental paradigm shift in how metropolitan transport systems are conceived, modelled, and managed. As terrestrial networks reach their saturation points, the transition towards Multidimensional Urban Mobility (MUM) becomes an operational necessity rather than a speculative ambition. This analysis investigates the architectural requirements for such a transition, specifically focusing on the integration of the "conquest of the air" through Urban Air Mobility (UAM). The research is structured around four primary pillars: the hierarchical levels of decision-making requisite for system deployment; a critical evaluation of the Mobility as a Service (MaaS) paradigm; the proposal of a novel, data-driven reference framework; and an examination of the technical and business interoperability challenges inherent in a multidimensional ecosystem.

The central argument posits that while existing MaaS models have successfully pioneered digital and tariff convergence, their inherent "user-centric" limitation restricts their efficacy in a multidimensional context. To address the constraints of terrestrial networks and the integration of three-dimensional mobility (utilizing drones and helicopters alongside 1D rail and 2D road systems), a transition towards a stakeholder-inclusive, data-driven framework is essential. This framework must move beyond simple trip planning to encompass the strategic requirements of public authorities and service providers. The analysis demonstrates that the success of MUM is contingent upon resolving critical data management hurdles—specifically regarding real-time processing, data heterogeneity, and privacy—while ensuring seamless interoperability across diverse technological and organizational silos. By synthesizing these elements, this report provides a rigorous academic foundation for assessing the feasibility and operational deployment of future urban mobility Cyber-Physical Social Systems (CPSS).

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Published

2026-03-24

How to Cite

Faheem Ahmed, Kamran Dahri, Rida Sara Khan, Muhammad Yaqoob Koondhar, & Raymond Houe Ngouna. (2026). A DATA-DRIVEN FRAMEWORK FOR MULTIDIMENSIONAL URBAN MOBILITY (MUM). Spectrum of Engineering Sciences, 4(3), 1075–1086. Retrieved from https://www.thesesjournal.com/index.php/1/article/view/2294