Futures Studies on the Impacts of Artificial Intelligence on Metro Management Systems an‎d Providing Strategic Recommendations for Urban Management

4/21/2026 12:00:00 AM

The rapid growth of urbanization an‎d the increasing complexity of metro system management have made the need for the use of artificial technologies more evident than ever before. This research, by examining the possibility of future research an‎d applying the Delphi method, after analyzing 40 initial reports, has reached a consensus on 32 drivers of the impact on the deployment of artificial intelligence in the Tehran Metro. These drivers are two key indecisiveness of the local governance level against technological backwardness an‎d trust in the four dimensions in the future an‎d social characteristics. The original versions of the thesis include the presentation of an integrated function for the deployment of artificial intelligence in the Tehran Metro, which includes four complements: data policy an‎d governance requirements, coordinating institutions an‎d organizational structure, development of human skills an‎d capabilities, an‎d data infrastructure, technology, an‎d cybersecurity. According to this solution, priority sets are presented for urban management that can be used as a native model for implementing smart systems an‎d improving strategic decision-making in the field of urban transportation.

هوش مصنوعي، سيستم‌هاي مديريت مترو، آينده پژوهي، مديريت شهري

Artificial Intelligence, Metro Management Systems, Futures Studies, Urban Management

Hosein Radman Panah

Dr.Hamed Amini