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Analyzing Mega-mobility Systems in Smart Cities: A Macro-Micro Integration with Feedback Paradigm Empowered by

Zelin Wang1, Qixiu Cheng2, Ziyuan Gu1

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This review introduces macro-micro integration with feedback (MMIF) to analyze complex mega-mobility systems. This approach, powered by artificial intelligence, enhances understanding of urban dynamics for smarter, human-centric cities.

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Area of Science:

  • Complex Systems Science
  • Urban Planning
  • Network Science

Background:

  • Mega-mobility systems are crucial for smart cities, integrating transportation, communication, and energy networks.
  • These systems exhibit 'organized complexity' with features like nonlinearity and emergent properties.
  • Traditional analysis struggles with the interdependencies between macro and micro levels in these systems.

Purpose of the Study:

  • To systematically advance macro-micro integration with feedback (MMIF) as a paradigm for analyzing urban mega-mobility systems.
  • To synthesize state-of-the-art developments within constituent subsystems using the MMIF perspective.
  • To explore AI-driven methods enabling MMIF and identify future research directions.

Main Methods:

  • Systematic review of existing literature on mega-mobility systems and complexity science.
  • Conceptual framework development for macro-micro integration with feedback (MMIF).
  • Analysis of artificial intelligence applications in enabling MMIF for urban mega-mobility.

Main Results:

  • The MMIF paradigm offers a unified perspective to bridge theoretical and empirical gaps in mega-mobility analysis.
  • AI technologies are identified as key enablers for implementing MMIF.
  • The review highlights challenges and future research avenues for AI-powered MMIF.

Conclusions:

  • MMIF provides a scientifically sound approach for urban development, harmonizing emergent patterns with granular dynamics.
  • AI-empowered MMIF can reshape interdisciplinary collaboration in complexity science.
  • This paradigm offers a blueprint for developing intelligent, adaptive, and human-centric smart cities.