ABSTRACT. The purpose of this study was to empirically examine urban sensing technologies and geospatial big data analytics in Internet of Things-enabled smart cities. Building our argument by drawing on data collected from Accenture, Deloitte, ESI ThoughtLab, ISC, ITU, KPMG, McKinsey, Nutter Consulting, RICS, UNESCAP, UNHSP, and USDN, we performed analyses and made estimates regarding how computationally networked urbanism optimizes data-driven Internet of Things systems. Smart cities configure sustainable urban development by harnessing networked and integrated sustainable urban technologies. Smart city applications harness Internet of Things sensing infrastructures and machine learning-based analytics by use of data-driven planning technologies. Interconnected sensor networks typify integrated sustainable urban technologies and smart cities. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: Internet of Things; smart; city; sensor; geospatial; big data analytics

How to cite: Hudson, L., and Novak Sedlackova, A. (2021). “Urban Sensing Technologies and Geospatial Big Data Analytics in Internet of Things-enabled Smart Cities,” Geopolitics, History, and International Relations 13(2): 37–50. doi: 10.22381/GHIR13220213.

Received 11 June 2021 • Received in revised form 5 October 2021
Accepted 7 October 2021 • Available online 10 October 2021

Linda Hudson
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Networked and Integrated
Sustainable Urban Technologies
at ISBDA, Fresno, CA, USA
(corresponding author)
Alena Novak Sedlackova
This email address is being protected from spambots. You need JavaScript enabled to view it.
Faculty of Operation and Economics
of Transport and Communications,
Department of Air Transport,
University of Zilina, Zilina, Slovak Republic

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