VOLUME 12(1) • 2020
Can Self-Driving Cars Lead to Sustainability? Autonomous Smart Sensors, Perception and Planning Algorithms, and Data Processing Efficiency
ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore whether self-driving cars can lead to sustainability. Using and replicating data from AUDI AG, AUVSI, Black & Veatch, Capgemini, CivicScience, Ipsos, J.D. Power, and Perkins Coie, I performed analyses..
Smart Sustainable Urban Mobility Behaviors: Public Attitudes and Adoption Intentions Concerning Self-Driving Cars
ABSTRACT. I develop a conceptual framework based on a systematic and comprehensive literature review on smart sustainable urban mobility behaviors. Building my argument by drawing on data collected from ANSYS, Atomik Research, Capgemini, Charles Koch Institute, CivicScience, eMarketer, Ipsos, Opinio..
Public Acceptance of Autonomous Vehicle Technologies: Attitudes, Behaviors, and Intentions of Users
ABSTRACT. Employing recent research results covering public acceptance of autonomous vehicle technologies, and building our argument by drawing on data collected from BCG, Capgemini, eMarketer, Morning Consult, Pew Research Center, and Schoettle & Sivak (2014), we performed analyses and made est..
The Design, Regulation, and Adoption of Autonomous Driving Systems in Smart Sustainable Urbanism
ABSTRACT. This paper analyzes the outcomes of an exploratory review of the current research on the design, regulation, and adoption of autonomous driving systems. The data used for this study was obtained and replicated from previous research conducted by AUVSI, Capgemini, EY, KPMG, Perkins Coie, an..
The Social Ethics of Self-Driving Cars: Public Perceptions and Predictions of Autonomous Vehicle Safety Risks
ABSTRACT. Despite the relevance of the social ethics of self-driving cars, only limited research has been conducted on this topic. Using and replicating data from AAA, ANSYS, Atomik Research, AUVSI, Capgemini, McKinsey, Perkins Coie, Pew Research Center, Schoettle & Sivak (2014), Statista, and Y..
Risk Perception and Societal Acceptance of Autonomous Vehicle Technologies
ABSTRACT. Empirical evidence on risk perception and societal acceptance of autonomous vehicle technologies has been scarcely documented in the literature. Using and replicating data from ANSYS, Atomik Research, Capgemini, Ipsos, Kennedys, McKinsey, and Pew Research Center, we performed analyses and ..
The Smart Automation of Urban Governance: Sustainable Mobilities and Data-driven Decision Support Systems
ABSTRACT. I draw on a substantial body of theoretical and empirical research on the smart automation of urban governance, and to explore this, I inspected, used, and replicated survey data from Abraham et al. (2017), Adobe Analytics, ANSYS, Atomik Research, Axios, GenPop, Ipsos, Kennedys, SAE, and S..
Regulatory and Governance Mechanisms for Self-Driving Cars: Social Equity Benefits and Machine Learning-based Ethical Judgments
ABSTRACT. The aim of this paper is to synthesize and analyze existing evidence on regulatory and governance mechanisms for self-driving cars. Using and replicating data from AUDI AG, Axios, BikePGH, Deloitte, Ipsos, Kennedys, McKinsey, and Statista, we performed analyses and made estimates regarding..
Smart Urbanism: Autonomous Vehicle Decision-Making Algorithms and Big Data-driven Transportation Networks
ABSTRACT. This article presents an empirical study carried out to evaluate and analyze autonomous vehicle decision-making algorithms and big data-driven transportation networks in smart urbanism. Building my argument by drawing on data collected from AAA, ANSYS, Atomik Research, BCG, Capgemini, Ipso..
Integrating the Autonomous Vehicle Infrastructure into Urban Spaces: The Social Dynamics of Data-driven Mobilities
ABSTRACT. The purpose of this study was to empirically examine the social dynamics of data-driven mobilites. Building our argument by drawing on data collected from AAA, ANSYS, Atomik Research, AUDI AG, Capgemini, CivicScience, GenPop, Ipsos, Kennedys, Schoettle & Sivak (2014), and Statista, we ..