Smart Urban Governance Models: Global Experiences and Lessons Learned
Keywords:
Smart urban governance, smart city, data-driven management, citizen participation, urban sustainability, thematic analysisAbstract
Objective: This study aimed to systematically review and qualitatively analyze global smart urban governance models to identify their key dimensions, components, and lessons for designing a localized governance framework in developing countries.
Methods and Materials: The research employed a qualitative systematic review approach. Data were collected from 12 peer-reviewed articles retrieved from Scopus, Web of Science, and Google Scholar databases. The inclusion criteria were conceptual relevance to smart urban governance, presence of a defined model or theoretical framework, and publication in reputable international journals. Data were analyzed thematically using Nvivo 14 software, and coding continued until theoretical saturation was achieved. The extracted codes were categorized into main and subthemes.
Findings: Thematic analysis revealed that global smart urban governance models are organized around three core dimensions: data-driven and technological governance, participatory and citizen-centered governance, and sustainable and resilient urban governance. Leading cities such as Amsterdam, Barcelona, and Singapore integrate advanced technologies, data transparency, and citizen participation to enhance urban decision-making. The results also highlighted that balancing technological efficiency with social and ethical values is crucial for sustainable and legitimate governance.
Conclusion: The findings emphasize that effective smart urban governance depends on the integration of data, technology, and human factors. Developing robust legal frameworks for data governance, enhancing citizens’ digital literacy, and embedding environmental sustainability principles into urban policies are essential for achieving inclusive, human-centered smart cities.
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