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VOL. 6, ISSUE 2 (2024)
Towards long-term urban analytics: The convergence of smart cities, big data and urban policy
Authors
Liu Linzhang
Abstract
Big data analytics has revolutionized the field of urban research and
planning by introducing more efficient real-time data mining and pattern
recognition methods. These technologies, as part of the new smart urbanism
strategy, promote more evidence-based urban management practices and support
smart cities in achieving greater efficiency in their decision-making
processes. This paper explores the potential value of big data analytics in
urban policy making and planning and its limitations. First, the article
constructs a framework for analyzing cities based on the theory of complex
adaptive systems as a key component in the practice of new smart urbanism. The
article goes on to explore the tension between the dynamic nature of high-frequency
data and the long-term structural challenges of cities. By citing specific
big-city data cases, the article identifies epistemological and practical-level
challenges to using high-frequency data for strategic analysis, and makes
recommendations on how urban analytics can be used to guide long-term urban
policy.
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Pages:54-58
How to cite this article:
Liu Linzhang "Towards long-term urban analytics: The convergence of smart cities, big data and urban policy". International Journal of Sociology and Political Science, Vol 6, Issue 2, 2024, Pages 54-58
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