ABSTRACT. Employing recent research results covering sustainable urban governance networks, data-driven Internet of Things systems, and wireless sensor-based applications in smart city logistics, and building our argument by drawing on data collected from City of Sydney, OAV, PwC, RICS, Siemens, UNESCAP, UNHSP, Volkswagen Group China, and The World Bank, we performed analyses and made estimates regarding how data-driven Internet of Things systems and machine learning-based analytics can gather and share massive volumes of data by harnessing networked and integrated sustainable urban technologies. Internet of Things sensing infrastructures are pivotal in configuring networked and integrated sustainable urban technologies by use of machine learning-based analytics and urban Internet of Things systems. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: sustainability; Internet of Things; smart city; big data; governance; network

How to cite: Evans, V., and Horak, J. (2021). “Sustainable Urban Governance Networks, Data-driven Internet of Things Systems, and Wireless Sensor-based Applications in Smart City Logistics,” Geopolitics, History, and International Relations 13(2): 65–78. doi: 10.22381/GHIR13220215.

Received 9 June 2021 • Received in revised form 7 October 2021
Accepted 9 October 2021 • Available online 10 October 2021

Vanessa Evans
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The Cognitive Labor Institute,
New York City, NY, USA
(corresponding author)
Jakub Horak
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The School of Expertness and Valuation,
The Institute of Technology and Business
in Ceske Budejovice, Czech Republic

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