A smart city is not defined solely by the use of technology or the presence of sensors, but by its ability to interpret the information it collects from the urban environment and use it to make decisions. Artificial Intelligence is the central axis that allows a city to function in a coordinated, efficient and sustainable manner. In this sense, AI acts as the ‘brain’ that allows large volumes of data to be transformed into concrete actions that improve the functioning of the city. Thanks to this capacity, cities can predict needs, anticipate incidents and adapt their services in real time.
Without AI, the smart city would not be able to learn, evolve or respond to changes in the environment automatically. It is this technology that converts data into useful knowledge to optimise resources.
Weiterlesen: How does the relationship between AI and smart cities work?
A new study claims that a largely overlooked solution, tube-based freight transport systems, could redefine how goods move within cities. These systems are a potential next-generation logistics layer that operates beneath or alongside traditional road networks, offering faster, cleaner, and more efficient delivery pathways in increasingly dense urban environments.
The study, titled "Smart Urban Logistics and Tube-Based Freight Systems: A Review of Technological Integration and Implementation Barriers", published in Smart Cities, reviews tube-based freight technologies and their role in transforming urban logistics. It evaluates existing models, emerging innovations, and real-world pilot projects while identifying the structural, economic, and governance barriers that continue to limit widespread adoption.
Weiterlesen: Smart cities look to tube-based transport to reduce emissions and delivery delays
Smart city development refers to the integration of advanced technologies and innovative urban planning to enhance the quality of life, sustainability, and operational efficiency in cities. By leveraging data, connectivity, and intelligent infrastructure, smart cities optimize transportation, energy management, public services, and environmental systems. Beyond creating more livable urban environments, these initiatives are significantly influencing real estate, shaping property values, buyer preferences, and investment opportunities.
Weiterlesen: How Smart City Development is Transforming Real Estate Markets
The new president of the Smart City Cluster in Spain, economist José María Zambrano, partner at 3CS Strategic Economic Consulting, reviews the challenges of smart cities for Digital Shield: protection of critical infrastructures, data preservation, cybersecurity, sustainability, mobility, quality of life, equality..
Weiterlesen: José María Zambrano: "Without security, there is no smart city"
Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service platforms, offering new opportunities to understand how cities function in real time. Researchers are increasingly exploring whether artificial intelligence (AI) systems can integrate these diverse data sources to improve urban planning, infrastructure management, and traffic prediction.
The study Multi-Modal Artificial Intelligence for Smart Cities: Experimental Integration of Textual and Sensor Data, published in the journal Future Internet, analyses how multi-modal AI models can combine traffic sensor data and citizen-reported text information to enhance predictions of traffic congestion severity.
Weiterlesen: Multi-modal artificial intelligence can improve smart city traffic analytics