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ABSTRACT. This paper analyzes the outcomes of an exploratory review of the current research on connected and autonomous vehicle mobility. The data used for this study was obtained and replicated from previous research conducted by ANSYS, Atomik Research, Black & Veatch, Brookings, Capgemini, Charles Koch Institute, eMarketer, Ipsos/GenPop, Kennedys, KPMG, McKinsey, Pew Research Center, Schoettle & Sivak (2014), and Statista. We performed analyses and made estimates regarding socially disruptive technologies, networked transport systems, and big data algorithmic analytics. Data collected from 3,900 respondents are tested against the research model by using structural equation modeling.

Keywords: connected; autonomous; vehicle; mobility; transport; big data analytics

How to cite: Lăzăroiu, G., Machová, V., and Kucera, J. (2020). “Connected and Autonomous Vehicle Mobility: Socially Disruptive Technologies, Networked Transport Systems, and Big Data Algorithmic Analytics,” Contemporary Readings in Law and Social Justice 12(2): 61–69. doi:10.22381/CRLSJ12220207

Received 15 June 2020 • Received in revised form 7 November 2020
Accepted 9 November 2020 • Available online 10 November 2020

George Lăzăroiu
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The Institute of Smart Big Data Analytics,
New York City, NY, USA;
Spiru Haret University, Bucharest, Romania
(corresponding author)
Veronika Machová
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Faculty of Business Administration,
University of Economics,
Prague, Czech Republic
Jiri Kucera
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The Institute of Technology and Business in Ceske Budejovice,
The School of Expertness and Valuation, Czech Republic

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