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Sensor-based Big Data Applications and Environmentally Sustainable Urban Development in Internet of Things-enabled Smart Cities

Sensor-based Big Data Applications and Environmentally Sustainable Urban Development in Internet of Things-enabled Smart Cities

ABSTRACT. Empirical evidence on sensor-based big data applications and environmentally sustainable urban development in Internet of Things-enabled smart cities has been scarcely documented in the literature. Using and replicating data from Capgemini, CBRE Research, Deloitte, EIU, ESI Thought Lab, and RICS, we performed analyses and made estimates regarding Internet of Things connected sensors in smart city governance. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: Internet of Things; smart city; sustainable urban development; big data

How to cite: Adams, D., Novak, A., Kliestik, T., and Potcovaru, A.-M. (2021). “Sensor-based Big Data Applications and Environmentally Sustainable Urban Development in Internet of Things-enabled Smart Cities,” Geopolitics, History, and International Relations 13(1): 108–118. doi: 10.22381/GHIR131202110.

Received 18 March 2021 • Received in revised form 16 June 2021
Accepted 21 June 2021 • Available online 22 June 2021

Donald Adams
donald.adams@aa-er.org
The Cognitive Labor Institute,
New York City, NY, USA
(corresponding author)
Andrej Novak
andrej.novak@fpedas.uniza.sk
Faculty of Operation and Economics
of Transport and Communications,
Department of Air Transport,
University of Zilina, Zilina, Slovak Republic
Tomas Kliestik
tomas.kliestik@fpedas.uniza.sk
Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic
Ana-Mădălina Potcovaru
madi_potcovaru@yahoo.com
The Bucharest University of Economic Studies, Romania