Από την αστικοποίηση στην αστική νοημοσύνη : το City Brain και η εφαρμογή του στον Πειραιά
From urbanization to urban intelligence : the City Brain and its application in Piraeus

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Keywords
Urbanization ; Αστικοποίηση ; Citybrain ; Piraeus ; IOT ; Ai module ; Edge computing ; SMR ; Πειραιάς ; Έξυπνη πόλη ; Αστική νοημοσύνη ; Piraeus citybrain ; Data lake ; Νευρικό σύστημα ; Νευρώνες ; Νευρωνικό ; Neural ; Έξυπνες πόλεις ; Smart cities ; Νευρωνικά δίκτυα ; Lorawan ; Αισθητήρες ; cameras ; Κυκλοφοριακή συμφόρηση ; ΕΚΑΒ ; Έκτακτες υπηρεσίες ; Θερμικές νησίδες ; Urban heat island ; SensorsAbstract
This dissertation examines the evolution of urbanization and the transition of modern cities toward models of urban intelligence, with a particular focus on the City Brain system. It begins by presenting the historical trajectory of urban development—from pre industrial settlements to the digital metropolises of the 21st century—highlighting the growing need for new governance frameworks based on real time data collection and analysis. The study then analyzes the architecture of City Brain, which integrates artificial intelligence, cloud–edge infrastructures, data lakes, and dynamic response mechanisms, enabling cities to operate in an adaptive and responsive manner.
The city of Piraeus is selected as the case study, representing an urban environment characterized by strong historical layering, geographical heterogeneity, and functional complexity. The analysis of its demographic, morphological, and operational characteristics reveals key challenges, including traffic congestion, environmental pressures, and the need for more efficient management of critical services. Within this context, three application scenarios of the City Brain system are developed: optimization of emergency medical response (EKAB), traffic management, and microclimate monitoring. These scenarios demonstrate that the use of data driven algorithms can significantly enhance the city’s operational efficiency and improve residents’ quality of life.
The dissertation concludes that implementing an urban intelligence system in Piraeus is both feasible and potentially highly beneficial, provided that appropriate technological infrastructures, institutional frameworks, and mechanisms for public engagement are established. At the same time, it acknowledges limitations related to the availability of real world data and the technological maturity of Greek cities, indicating the need for further research and pilot applications. Overall, the study proposes a comprehensive framework for guiding Piraeus—and, by extension, other Greek cities—toward a more sustainable, resilient, and technologically supported model of urban governance.


