Entrepreneurial Initiatives for Sustainable Urban Services: A Case Study on Space Allocation

Urban areas face growing challenges such as traffic congestion, air pollution, and inefficient space use—issues compounded by outdated infrastructure and ineffective plan-ning. Efforts to implement data-driven or smart solutions are often hindered by disconnects among communities, entrepreneurs, policymakers, and investors, whose differing expectations and priorities limit collaboration and innovation. In response to this growing concern, this study investigates the entrepreneurial impact on sustainable urban development from the perspectives of key stakeholders. This investigation yields three notable findings: (1) critical factors influencing entrepreneurs' adoption of da-ta-driven approaches for sustainable urban space allocation; (2) the social, governance, and smart city integration impacts of space-sharing practices in urban environments; and (3) strategies to encourage investment in entrepreneurial projects aimed at optimizing space allocation in urban areas for sustainability. Previous studies have often siloed discussions on entrepreneurship, governance, and technological feasibility; this review reveals a pressing need for interdisciplinary frameworks that not only underscore the academic and practical significance of the topic but also redefine entrepreneurial urbanism as a collaborative, data informed, and equity driven discipline. To address the study’s complexity, the authors began the study with a comprehensive review of relevant theoretical frameworks and established theories. An interdisciplinary mixed-methods approach was then adopted, combining mixed methods with both qualitative and quantitative methodologies. The qualitative analysis provided valuable insights and revealed critical themes drawn from a multi-dimensional social discourse, encompassing 50 survey responses, 10 in-depth interviews, and a diverse range of published conversations. The quantitative analysis presented numerical data from sen-timent analytics related to community engagement and sustainable entrepreneurial practices. Additionally, inferential statistical methods were applied to validate relationships between urban performance metrics and the Global Innovation Index (GII) across a sample of 77 cities worldwide. Finally, the practical execution component of the study explored key aspects of the research through real-world case studies, offering actionable recommendations for entrepreneurial and data-driven initiatives aimed at building sustainable cities that foster a high quality of life.