Smart City Gnosys

Smart city article details

Title	Data-Driven Regulation And Governance In Smart Cities
ID_Doc	17470
Authors	Ranchordás S.; Klop A.
Year	2024
Published	Research Handbook in Data Science and Law, Second Edition
DOI	http://dx.doi.org/10.4337/9781035316458.00019
Abstract	This chapter examines data-driven regulation and governance within smart cities, detailing how these urban centers utilize technologies to gather and analyze data on aspects like citizen behavior, traffic, urban planning, and waste management. It outlines the global adoption of data science, big data, AI, IoT, and predictive analytics by smart cities to enhance service efficiency and decision-making. The chapter also addresses the legal complexities of using these technologies in shaping local regulations and governance. It specifically tackles three challenges: the misalignment between traditional administrative law and data-driven approaches; the impact of privatizing public services through the increased outsourcing of technologies to private companies; and the lack of transparency and accountability in data-driven administrative procedures. Drawing from a wide range of interdisciplinary smart city literature, the chapter provides examples of data-driven practices from various jurisdictions. © The Editors and Contributors Severally 2024. All rights reserved.
Author Keywords	AI; Big data; Data; Data science; Data-driven; Local law; Smart cities; Urban law

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