ABSTRACT. Empirical evidence on the design, planning, and operation of smart city infrastructure has been scarcely documented in the literature. Using and replicating data from ESI ThoughtLab, McKinsey, Osborne Clarke, Phillips, and SmartCitiesWorld, I performed analyses and made estimates regarding big data-driven decision-making processes for environmentally sustainable urban development. Data were analyzed using structural equation modeling.

Keywords: big data; environmentally sustainable; urban development; smart city

How to cite: Hodgkins, S. (2020). “Big Data-driven Decision-Making Processes for Environmentally Sustainable Urban Development: The Design, Planning, and Operation of Smart City Infrastructure,” Geopolitics, History, and International Relations 12(1): 87–93. doi:10.22381/GHIR12120208

Received 14 March 2020 • Received in revised form 21 June 2020
Accepted 24 June 2020 • Available online 27 June 2020

Stacy Hodgkins
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The Social Analytics Laboratory
at CLI, Los Angeles, CA, USA

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