ABSTRACT. Despite the relevance of the algorithmic governance of smart mobility, only limited research has been conducted on this topic. Using and replicating data from AUVSI, Capgemini Research Institute, Ipsos, McKinsey & Co., Perkins Coie, Pew Research Center, and Statista, we performed analyses and made estimates regarding the biggest obstacle to the growth of autonomous vehicles in the next five years (safety concerns/price of investment/cybersecurity or data privacy concerns/consumer readiness to adopt/lack of a regulatory framework/infrastructure issues/creating and implementing digital city mapping platforms with easy-to-update features) and city infrastructure requirements that need immediate attention so that autonomous vehicle technology testing/implementation can be facilitated further (upgrade highways and thoroughfares with smart technology for road signs, traffic lights, and merge lanes/ensure lane markings on city streets are visible and consistent/optimize intersections and streetscapes/upgrade pedestrian accommodations/upgrade parking areas). The results of a study based on data collected from 4,800 respondents provide support for our research model. Using the structural equation modeling and employing the probability sampling technique, we gathered and analyzed data through a self-administrated questionnaire.

Keywords: algorithmic governance; smart mobility; driverless vehicle technologies

How to cite: Putnam, Dermot, Maria Kovacova, Katarina Valaskova, and Vojtech Stehel (2019). “The Algorithmic Governance of Smart Mobility: Regulatory Mechanisms for Driverless Vehicle Technologies and Networked Automated Transport Systems,” Contemporary Readings in Law and Social Justice 11(1): 21–26. doi:10.22381/CRLSJ11120193

Received 3 March 2019 • Received in revised form 1 July 2019
Accepted 5 July 2019 • Available online 15 July 2019