The crucial problem of transitioning from experimental pilots or innovation zones to the widespread urban deployment of AI-powered digital twins is highlighted in this introductory part of the chapter. In addition to outlining the enabling conditions—political will, cross-sector alignment, funding methods, and public trust—that are critical for scalability, it looks at why so many projects fail at the prototype stage. The section lays the groundwork for viewing scaling as an institutional transformation as opposed to just technical duplication.

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From Pilot to City-Scale: Implementation and Scaling Models for AI-Digital Twins Intelligence

  • Ali Cheshmehzangi

摘要

The crucial problem of transitioning from experimental pilots or innovation zones to the widespread urban deployment of AI-powered digital twins is highlighted in this introductory part of the chapter. In addition to outlining the enabling conditions—political will, cross-sector alignment, funding methods, and public trust—that are critical for scalability, it looks at why so many projects fail at the prototype stage. The section lays the groundwork for viewing scaling as an institutional transformation as opposed to just technical duplication.