📘 Part I: Theoretical Foundations and Concepts

 

 

This part establishes the core definitions and conceptual framework for understanding smart cities from an urban planning perspective.

🔍 Key topics covered:

1. Definition of a Smart City

   • A smart city is an urban area that uses digital technologies, data, and artificial intelligence to enhance quality of life, improve government services, and optimize infrastructure.

   • Contrast with traditional city models: from reactive to proactive management.

2. Core Components of Smart Cities

   • Smart governance

   • Smart mobility

   • Smart environment

   • Smart living

   • Smart economy

   • Smart people

3. Global Development Models

   • Overview of leading models (e.g., EU Smart City Framework, ISO 37122 indicators).

   • Comparison between technology-driven vs. human-centric approaches.

4. Role of ICT, Big Data, and AI

   • How sensors, IoT devices, and real-time data collection reshape urban monitoring.

   • Examples: traffic management, waste collection optimization, energy grids.

5. Relationship Between Smart City Initiatives and Traditional Urban Planning

   • Traditional planning: long-term, static master plans.

   • Smart planning: dynamic, data-informed, adaptive.

   • Potential conflicts and synergies (e.g., privacy vs. efficiency, digital divide).

💡 Why this part matters

It gives readers the necessary vocabulary and theoretical lens to evaluate smart city projects. The author emphasizes that technology is a tool—not an end goal—and must serve human needs.