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L' intelligenza artificiale per la città a 15 minuti: una proposta per innovare la pianificazione dei servizi a Milano

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  • Francesco Berni,
  • Andrea Bartolini
Francesco Berni
Università per gli stranieri di Perugia
Andrea Bartolini
Singapore ETH Centre
DOI: https://doi.org/10.36253/contest-16693

Published 2026-01-07

Keywords

  • urban regeneration,
  • tools and techniques,
  • spatial planning

How to Cite

Berni, F., & Bartolini, A. (2026). L’ intelligenza artificiale per la città a 15 minuti: una proposta per innovare la pianificazione dei servizi a Milano. Contesti. Città, Territori, Progetti. https://doi.org/10.36253/contest-16693

Copyright (c) 2026 Francesco Berni, Andrea Bartolini

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

La ‘città dei 15 minuti’ rappresenta una rilettura di un paradigma disciplinare consolidato, rilanciato durante la pandemia come risposta alla necessità di prossimità nei sistemi urbani. In Europa, molte sperimentazioni hanno puntato su mobilità sostenibile e spazi pubblici, mentre più complessa si è rivelata l’integrazione di servizi, ostacolata dall’assenza di strumenti empirici e dati interoperabili. La sfida futura consiste nel superare gli standard urbanistici tradizionali adottando approcci data driven per garantire servizi accessibili e massimizzare l’impatto sociale.  Il contributo esplora il potenziale dell’intelligenza artificiale come leva per innovare la pianificazione dei servizi a partire dal caso di Milano. La città offre un ambito di indagine rilevante in cui l’ente locale sperimenta nuovi strumenti di pianificazione dei servizi in contesto connotato da un aspro dibattito pubblico e inchieste concentrate sul rapporto tra trasformazioni private e interessi collettivi.

The ‘15-minute city’ represents a reinterpretation of a consolidated disciplinary paradigm, rediscovered during the pandemic as a response to the need for proximity in urban systems. In Europe, many experiments have focused on sustainable mobility and public spaces, while the integration of services has proven more complex, hindered by the lack of empirical tools and interoperable data. The future challenge lies in moving beyond traditional urban planning standards by adopting data-driven approaches to ensure accessible services and maximize social impact. This contribution explores the potential of artificial intelligence as a lever to innovate service planning, starting from the case of Milan. The city provides a relevant field of investigation, where the local authority is experimenting with new service planning tools in a context marked by heated public debate and inquiries centered on the relationship between private transformations and collective interests.

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