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ABSTRACT. I draw on a substantial body of theoretical and empirical research on big data-driven smart cities, and to explore this, I inspected, used, and replicated survey data from Bloomberg Intelligence, Frost & Sullivan, KPMG, McKinsey, Phillips, and SmartCitiesWorld, performing analyses and making estimates regarding how smart cities can become cleaner and more sustainable (%), key actions needed to improve smart cities’ living environment (%), smart city addressable market by segment in 2025 (%), and how smart cities can create a new type of digital commons (%). Structural equation modeling was used to analyze the data and test the proposed conceptual model.

Keywords: big data; smart city; networked urbanism; Internet of Things

How to cite: Gutschow, Evelyn (2019). “Big Data-driven Smart Cities: Computationally Networked Urbanism, Real-Time Decision-Making, and the Cognitive Internet of Things,” Geopolitics, History, and International Relations 11(2): 48–54. doi:10.22381/GHIR11220197

Received 13 February 2019 • Received in revised form 14 September 2019
Accepted 16 September 2019 • Available online 1 October 2019

Evelyn Gutschow
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The Cognitive Labor Institute,
New York City, NY, USA

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