A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles

TL;DR

This paper identifies key barriers to autonomous vehicle adoption, analyzes their interrelations using a novel combination of Grey-DEMATEL and systems thinking, and offers strategic insights for policymakers and industry stakeholders.

Contribution

It introduces a new integrated methodology combining Grey-DEMATEL with systems thinking to analyze barriers to AV adoption, highlighting the most influential factors.

Findings

Lack of customer acceptance is the top barrier.

Addressing industry standards and regulations can mitigate customer acceptance issues.

The methodology provides a systemic view of barrier interactions.

Abstract

The automation technology is emerging, but the adoption rate of autonomous vehicles (AV) will largely depend upon how policymakers and the government address various challenges such as public acceptance and infrastructure development. This study proposes a five-step method to understand these barriers to AV adoption. First, based on a literature review followed by discussions with experts, ten barriers are identified. Second, the opinions of eighteen experts from industry and academia regarding inter-relations between these barriers are recorded. Third, a multicriteria decision making (MCDM) technique, the grey-based Decision-making Trial and Evaluation Laboratory (Grey-DEMATEL), is applied to characterize the structure of relationships between the barriers. Fourth, robustness of the results is tested using sensitivity analysis. Fifth, the key results are depicted in a causal loop diagram (CLD), a systems thinking approach, to comprehend cause-and-effect relationships between the barriers. The results indicate that the lack of customer acceptance (LCA) is the most prominent barrier, the one which should be addressed at the highest priority. The CLD suggests that LCA can be rather mitigated by addressing two other prominent, yet more tangible, barriers -- lack of industry standards and the absence of regulations and certifications. The study's overarching contribution thus lies in bringing to fore multiple barriers to AV adoption and their potential influences on each other. Moreover, the insights from this study can help associations related to AVs prioritize their endeavors to expedite AV adoption. From the methodological perspective, this is the first study in transportation literature that integrates Grey-DEMATEL with systems thinking.