Integrating Mixed-Methods Research in Smart City Development Studies

EasyChair Preprint 14405

Abstract

The rapid evolution of urban landscapes, driven by the advent of smart city initiatives, necessitates a comprehensive understanding of urban dynamics that transcends traditional research methods. This paper explores the integration of mixed-methods research in the study of smart city development, emphasizing the need for a holistic approach to decode the complexities of modern urban environments. By combining qualitative insights with quantitative data, mixed-methods research provides a nuanced understanding of the multifaceted interactions within smart cities, including technological advancements, social behaviors, and policy implications.

Keyphrases: 1. **Urban Dynamics**, 10. **AI (Artificial Intelligence)**, 11. **Urban Infrastructure**, 12. **Population Growth**, 13. **Socio-Economic Factors**, 14. **Data Integration**, 15. **Urban Planning**, 16. **Sustainability**, 17. **Public Participation**, 18. **Ethical Considerations**, 19. **Methodological Challenges**, 2. **Smart Cities**, 20. **Case Studies in Urban Research**, 21. **Interdisciplinary Approaches**, 22. **Technological Innovations**, 23. **Data Triangulation**, 24. **Research Methodologies**, 25. **Urban Policy and Planning**, 3. **Mixed-Methods Research**, 4. **Quantitative Data**, 5. **Qualitative Data**, 6. **Urban Complexity**, 7. **Smart City Development**, 8. **IoT (Internet of Things)**, 9. **Big Data**

@booklet{EasyChair:14405,
  author    = {Wayzman Kolawole},
  title     = {Integrating Mixed-Methods Research in Smart City Development Studies},
  howpublished = {EasyChair Preprint 14405},
  year      = {EasyChair, 2024}}