1. Introduction 1.1 Background and Context 1.2 Objectives and Research Questions 1.3 Methodology and Scope 1.4 Structure of the Thesis 2. Theoretical Framework 2.1 Definition of Key Concepts 2.2 Historical Perspectives on Urban Design 2.3 Overview of Artificial Intelligence 3. AI-Driven Urban Design 3.1 Automation of Design Processes 3.2 Data-Driven Urban Planning 3.3 Virtual Simulation in Urban Environments 4. Impacts on Architectural Practices 4.1 Design Efficiency and Creativity 4.2 Sustainable Urban Development 4.3 Human and AI Collaboration 5. Social Implications 5.1 Impact on Urban Communities 5.2 Equity and Accessibility in Design 5.3 Ethical Considerations 6. Policy and Regulation 6.1 Existing Policy Frameworks 6.2 Recommendations for Policy Development 6.3 Governance of AI in Urban Planning 7. Case Studies 7.1 Smart Cities around the World 7.2 Successful Implementations of AI 7.3 Lessons Learned from Case Studies 8. Conclusion and Future Directions 8.1 Summary of Findings 8.2 Limitations of the Study 8.3 Future Research Opportunities
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