Preface

Milakis, Dimitris; Thomopoulos, Nikolas; Wee, Bert van

doi:10.1016/s2543-0009(20)30030-5

Cited by 3 publications

(2 citation statements)

References 32 publications

(37 reference statements)

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“…In fact, according to the study [4], the pandemic seems to have accelerated the development and use of certain forms of vehicle automation for supporting front-line health care (e.g., by delivering medical supplies to hospitals or elderly groups) and controlling the spread of the corona virus (e.g., by disinfecting public spaces), while the discussion about a significant modal shift from airplanes (i.e., short to mid-range trips) to automated vehicles has recently intensified.…”

Section: Discussionmentioning

confidence: 99%

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A Model for the Deployment of Shared Autonomous Vehicles in Urban Areas Based on the Research Literature

Carneiro,

Pereira,

Mira da Silva

2023

IJTDI

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The deployment of Shared Autonomous Vehicles (SAVs) in urban areas is no longer a futuristic vision. Pilot projects are undeniable realities in various locations, and automakers research agendas are clear about this increasing autonomous trend. An ecosystem that supports the deployment of autonomous mobility is imperative, before this new type of mobility becomes a reality. Trying to understand what is absolutely essential in a city, to allow the operation of SAVs and to attract potential investors, is the aim of this research. This work started with a Systematic Literature Review (SLR), where the main concepts supporting SAVs were identified, and continued using a Topic Modeling approach, specifically Latent Dirichlet Allocation, to reach the most important topics and clusters, that were then modeled in ArchiMate into a possible ecosystem for the deployment of SAVs in urban areas. Finally, the reached model is confronted with a real case in order to establish a gap analysis between the theoretical reference model and what is already happening in Beijing. The result is an improvement of the reference model.

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Section: Discussionmentioning

confidence: 99%

“…Right now, forecast changes are undoubtedly relevant. In fact, according to the study [4], research results in all fields indicate that both short-term and long-term implications of AVs are expected to be significant, including possible adverse effects. So, there is controversy regarding the effects of autonomous mobility.…”

Section: Introductionmentioning

confidence: 99%

A Model for the Deployment of Shared Autonomous Vehicles in Urban Areas Based on the Research Literature

Carneiro,

Pereira,

Mira da Silva

2023

IJTDI

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All work and no play? Autonomous vehicles and non-commuting journeys

et al. 2020

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Policy Learning and the Diffusion of Autonomous Vehicle Policy in the American States

Robles,

Mallinson

2024

State and Local Government Review

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This study examines the multifaceted mechanisms driving the adoption of autonomous vehicle (AV) policy in the United States. Drawing from diffusion and network governance theories, it explores the intricate interplay between state governments, private industry, and shared mobility services in shaping AV policies. Several states like California, Nevada, and Texas have emerged as frontrunners in AV testing and innovation. However, policymakers grapple with unique challenges related to AV technology, including safety, liability, and infrastructure enhancement, necessitating innovative policy solutions. As AVs signify a transformative shift in transportation, state governments assume a pivotal role in policy innovation and experimentation. Using a blend of dyadic quantitative analysis and qualitative interviews, this study examines to what extent policy learning predominantly drives AV policy adoption. In doing so, we explore specific diffusion mechanisms, including policy learning and competitive dynamics, to understand how they shape the early adoption of AV policies across states. We find substantial evidence for interstate learning facilitated by intergovernmental organizations and the private sector.

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Preface

Cited by 3 publications

References 32 publications

A Model for the Deployment of Shared Autonomous Vehicles in Urban Areas Based on the Research Literature

A Model for the Deployment of Shared Autonomous Vehicles in Urban Areas Based on the Research Literature

All work and no play? Autonomous vehicles and non-commuting journeys

Policy Learning and the Diffusion of Autonomous Vehicle Policy in the American States

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