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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 just engineering, determines autonomous vehicle adoption

Pendyala argues that technological capability alone is insufficient for autonomous vehicle mainstream adoption—public embrace and consumer confidence are equally critical determinants of success. The safety and viability of driverless cars depend as much on overcoming skepticism and building trust as on engineering excellence.

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article in provided corpus on autonomous vehicles and public trust

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

Safety of Autonomous Vehicles Will Partially Rely on the Public Embracement of its Technology

Critical factors for autonomous vehicle mainstream adoption

Technological capability and safety engineering8
Public consumer confidence and trust8
Regulatory framework and policy adoption7
Market infrastructure and deployment scale7

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27%Technological capability
Technological capability and safety engineering
Public consumer confidence and trust
Regulatory framework and policy adoption
Market infrastructure and deployment scale

1

core thesis: technology adoption requires dual conditions

Safety of Autonomous Vehicles Will Partially Rely on the Public Embracement of its Technology

Article title premise

Driverless cars face a confidence gap as significant as any engineering challenge ahead.

Safety of Autonomous Vehicles—implicit argument

“Public embracement of technology determines mainstream viability, not engineering alone.”

Themes:Consumer confidence as adoption bottleneckTechnology-trust dual dependency modelPublic skepticism as market barrier

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