COVID-19 Response and Recovery in Smart Sustainable City Governance and Management: Data-driven Internet of Things Systems and Machine Learning-based Analytics
COVID-19 Response and Recovery in Smart Sustainable City Governance and Management: Data-driven Internet of Things Systems and Machine Learning-based Analytics
Author(s): Roger Scott, Miloš Poliak, Jaromír Vrbka, Elvira NicaSubject(s): Governance, Health and medicine and law, Rural and urban sociology, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: COVID-19; smart sustainable city; big data;Internet of Things (IoT);
Summary/Abstract: Employing recent research results covering smart sustainable city governance and management, and building our argument by drawing on data collected from CompTIA, Deloitte, DNV GL, ICMA, KPMG, PTI, RICS, and SCC, we performed analyses and made estimates regarding data-driven Internet of Things systems and machine learning-based analytics. Structural equation modeling was used to analyze the collected data.
Journal: Geopolitics, History, and International Relations
- Issue Year: 12/2020
- Issue No: 2
- Page Range: 16-22
- Page Count: 7
- Language: English
- Content File-PDF
