August 16, 2025Open Access

From Deductive Models to Data-Driven Urban Analytics: A Critical Review of Statistical Methodologies, Big Data, and Network Science in Urban Studies

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The shift from deterministic models to dynamic, data-driven approaches enhances urban assessments and insights.
Emerging data sources like mobility data and social media improve the resolution in studies of urban dynamics.
Adopting machine learning in urban studies raises critical issues regarding privacy and social equity.
Empowering urban analytics necessitates an ethical framework emphasizing transparency and equity in research practices.

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Review highlights advancements in urban analytics using big data and network science, suggesting ethical challenges.

Mahshid Gorjian (2025) studied this question.

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