ABSTRACT. We develop a conceptual framework based on a systematic and comprehensive literature review on urban Internet of Things systems and data monitoring algorithms in smart and environmentally sustainable cities. Building our argument by drawing on data collected from Capgemini, CBRE Research, DNV GL, ESI ThoughtLab, ITU, and KPMG, we performed analyses and made estimates regarding how networked and integrated sustainable urban technologies have configured smart ecosystems. Smart sustainable city governance and management focus on configuring adequate operational processes. Internet of Things sensing infrastructures are pivotal in gathering massive volumes of data through sensor devices. Huge data streams are produced by networked devices by harnessing integrated sustainable urban technologies. Big data have to be integrated across Internet of Things sensing infrastructures with data-driven planning technologies. The data for this research were gathered via an online survey questionnaire. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: smart city; sustainability; Internet of Things; big data; monitoring; urban

How to cite: Burke, S., and Zvarikova, K. (2021). “Urban Internet of Things Systems and Data Monitoring Algorithms in Smart and Environmentally Sustainable Cities,” Geopolitics, History, and International Relations 13(2): 135–148. doi: 10.22381/GHIR132202110.

Received 16 June 2021 • Received in revised form 6 October 2021
Accepted 8 October 2021 • Available online 10 October 2021

Sarah Burke
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Smart Sustainable Urban Mobility
at AAER, Coventry, England
(corresponding author)
Katarina Zvarikova
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 Economics,
University of Zilina, Zilina, Slovak Republic

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