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Professor and Director, School of Sustainable Engineering and the Built Environment

Ram Pendyala

Ram Pendyala is a Professor in and the Director of the School of Sustainable Engineering and the Built Environment at Arizona State University where he teaches courses and conducts research in transportation systems engineering and mobility analytics. He was previously the Frederick R Dickerson Chair and Professor of Transportation Systems in the School of Civil and Environmental Engineering at Georgia Institute of Technology for a period of two years between 2014 and 2016. He is an expert in the analysis of transportation systems and focuses on understanding and modeling traveler behavior and values under a wide variety of geographic, spatio-temporal, and policy scenarios. He has pioneered the development of new activity-based travel demand model systems, including the application of such models to forecast the impact of emerging and disruptive transportation technologies.

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Contributor Brief·Ram Pendyala · 1 article
Updated Sep 8, 2023

Consumer confidence, not engineering alone, determines autonomous vehicle adoption

Pendyala argues that technological superiority in autonomous vehicles is insufficient for mainstream adoption; public trust and psychological acceptance of the technology are equally critical determinants of market success. He contends that the industry's focus on safety engineering must be matched by deliberate strategies to build consumer confidence, as social acceptance will ultimately gate commercial viability.

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article addressing the public acceptance imperative for AV adoption

“Consumer confidence may ultimately prove as critical as the technology itself.”

Safety of Autonomous Vehicles Will Partially Rely on Public Embracement

Factors determining autonomous vehicle mainstream adoption success

Technological safety engineering50
Consumer confidence and trust50
Public psychological acceptance50

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33%Technological safety
Technological safety engineering
Consumer confidence and trust
Public psychological acceptance

dual-factor dependency

AV success hinges on both engineering and social acceptance simultaneously

Driverless cars will not achieve mainstream status through technological prowess alone.

Safety of Autonomous Vehicles Will Partially Rely on Public Embracement

The public's willingness to adopt must be cultivated intentionally by industry leaders.

Safety of Autonomous Vehicles Will Partially Rely on Public Embracement

“Technology adoption barriers are ultimately psychological, not mechanical.”

Themes:Consumer psychology as adoption gatekeeperTechnology-confidence parity requirementSocial acceptance as market determinant

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