# Decoding Urban Intelligence: Clustering and Feature Importance in Smart Cities
## 2 Related Work  
Recent studies have increasingly focused on various aspects of smart city development and management. Researchers have developed and refined numerous indicators to capture the complexity of urban smartness. Smart city rankings offer a comparative perspective. [PERSON] et al. [2] presented a thorough literature review to explore the use of artificial intelligence (AI) in urban planning. Using the PRISMA protocol, the work conducted a systematic review of 91 publications sourced from Scopus and Web of Science databases, identifying key AI applications in areas like urban data analytics, infrastructure management, disaster management, and development control. The main contribution of this paper is its identification of AI's potential to enhance smart and sustainable city planning. The review highlights how early AI adopters in urban planning are paving the way for broader implementation, emphasizing the importance of collaboration between stakeholders. The study also underscores AI's reliance on big data and the need for the convergence of artificial and human intelligence to address urbanization challenges. In this sense, this review offers crucial insights into the future integration of AI in urban planning and its potential to support sustainable development goals, particularly through more efficient urban governance, environmental monitoring, and infrastructure management. Information and communication technology enables the digital infrastructure that supports various urban systems and services Data warehousing and big data analytics are fundamental in real-time data collection, storage, and analysis, which are crucial for decision-making processes. Cities increasingly rely on predictive models powered by AI and machine learning to optimize services such as traffic management, energy consumption, and public safety. The integration of these technologies into smart city frameworks enhances the efficiency and responsiveness of urban systems. Similarly, content management and collaboration tools play a significant role in smart city governance. They facilitate better communication between city authorities and citizens, enhancing the delivery of public services. These tools promote transparency and active citizen participation, which are essential for ensuring effective governance in a smart city. Without a robust system for managing content and streamlining workflows, cities might struggle to meet the growing demand for fast and efficient public service responses. Additionally, computer network platforms form the backbone of smart cities by ensuring the seamless flow of data between various systems, from IoT sensors to communication networks. The efficiency of services such as intelligent transport systems, smart grids, and healthcare systems depends on the reliability of these networks. Their role in enabling real-time interaction between different components of the urban ecosystem is crucial to the functioning of smart cities. The concept of social mining should not be overlooked. By analyzing data from social media and other digital footprints, cities can gain valuable insights into citizen behavior, preferences, and concerns. This information can guide urban planners and policymakers in creating adaptive and responsive city services, enhancing the overall quality of life in urban areas. Finally, the IoT (Internet of Things) is fundamental to the smart city vision as it connects devices and sensors that generate real-time data across urban environments. However, this interconnectedness also makes cities vulnerable to cybersecurity threats. Ensuring robust protections is critical to maintaining the integrity and functionality of urban systems, especially in sectors like transportation and healthcare, which could be severely affected by breaches. [PERSON] et al. [3] focused on bridging the gap between smart city services and the needs and expectations of end-users. The study clustered smart city services into categories based on perceptions and expectations through a pilot survey.