International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 3
May-June 2026

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Data-Driven Urban Governance: Harnessing Digital Technologies for Smarter, More Resilient Cities

Author(s) Ravi Ranjan Kumar
Country India
Abstract The accelerating pace of urban growth has placed unprecedented strain on city infrastructure, mobility networks, environmental systems, and civic service delivery. Conventional approaches to urban management, built around periodic surveys and static planning cycles, are increasingly unable to keep pace with the fluid demands of contemporary urban life. Digital technologies, including Big Data Analytics, Artificial Intelligence, Geographic Information Systems, the Internet of Things, and Cloud Computing, have introduced a new paradigm in which cities can be monitored, modelled, and managed in near real time. This article reviews how such technologies are reshaping urban governance, evaluates their influence on infrastructure and service outcomes, and considers the obstacles that continue to slow adoption. Drawing on a descriptive and analytical approach grounded in secondary sources, including official reports, peer-reviewed research, and documented smart city experiences, the analysis finds that digitally enabled governance improves operational efficiency, sharpens resource allocation, and strengthens citizen-government interaction. At the same time, persistent concerns around data protection, funding constraints, uneven technology access, and institutional readiness continue to shape how successfully these tools can be deployed. The article concludes that technology adoption must be paired with deliberate governance design if cities are to realise lasting gains in liveability and sustainability.
Keywords Urban Governance, Smart Cities, Big Data, Artificial Intelligence, GIS, IoT, Sustainable Development, Digital Infrastructure, Citizen Engagement
Field Computer Applications
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-06-18
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.81781
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E-ISSN 2582-2160
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