ABSTRACT. Despite the relevance of the geopolitics of big data governance as regards smart city analytics in networked and integrated sustainable urban technologies, only limited research has been conducted on this topic. Using and replicating data from Capgemini, CompTIA, Deloitte, ESI ThoughtLab, ICMA, Johnson Controls, KPMG, PTI, RICS, and SCC, we performed analyses and made estimates regarding how sensor-based big data applications and digital urban governance deploy data-driven Internet of Things systems, interconnected sensor networks, and data-driven planning technologies. Internet of Things sensing infrastructures, computationally networked urbanism, and machine learning-based analytics configure smart and environmentally sustainable cities. The results of a study based on data collected from 5,700 respondents provide support for our research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: smart city; networked; integrated; sustainability; urban; technology

How to cite: Blakemore, J., and Kral, P. (2021). “The Geopolitics of Big Data Governance: Smart City Analytics in Networked and Integrated Sustainable Urban Technologies,” Geopolitics, History, and International Relations 13(2): 79–92. doi: 10.22381/GHIR13220216.

Received 19 June 2021 • Received in revised form 2 October 2021
Accepted 6 October 2021 • Available online 10 October 2021

James Blakemore
This email address is being protected from spambots. You need JavaScript enabled to view it.
Interconnected Sensor Networks Research Unit
at AAER, Bangor, Wales
(corresponding author)
Pavol Kral
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic

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