Shubham Agrawal

Assistant Professor

Clemson University

United States

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Shubham Agrawal is an Assistant Professor at Clemson University in the United States. His research areas encompass the perceptions and intentions regarding autonomous vehicles, the effects of online survey research, and the integration of portable Magnetic Resonance Imaging systems in emergency medical services. His recent publications address critical topics such as employment data analysis, automation attitudes among disadvantaged workers, and driving behavior in mixed-flow traffic scenarios.

Articles (18)

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2025

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2022

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2021

Collaborators (4)

Shelia R Cotten

Clemson University

UNITED STATES

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Jessica Liberman

Clemson University

UNITED STATES

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Sicheng Wang

Rutgers University

UNITED STATES

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Irina Benedyk

University at Buffalo

UNITED STATES

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Shubham Agrawal

Research Interests

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About

Articles (18)

Navigating Change: Exploring Gig and Taxi Drivers’ Perceptions of Autonomous Vehicles and Their Influence on Continuance Intentions

It’s more than money: The true costs of spam in online survey research

Downscaling occupational employment data from the state to the Census tract level

Challenges to integrating portable Magnetic Resonance Imaging systems in emergency medical service ambulances for stroke care

Disadvantaged workers are not all alike in attitudes towards automation

Role of policy and consumer attitudes in people’s intention to use high-level autonomous vehicles: A comparative study in China and the United States

Barriers to integrating portable Magnetic Resonance Imaging systems in emergency medical service ambulances for stroke care

Will automated vehicles solve the truck driver shortages? Perspectives from the trucking industry

Car-Following Behavior of Human-Driven Vehicles in Mixed-Flow Traffic: A Driving Simulator Study

Car-Following Behavior of Human-Driven Vehicles in Mixed-Flow Traffic: A Driving Simulator Study

Multiparadigm Modeling Framework to Evaluate the Impacts of Travel Patterns on Electric Vehicle Battery Lifespan

Building on the past to help prepare the workforce for the future with automated vehicles: A systematic review of automated passenger vehicle deployment timelines

Evaluating the cognitive and psychological effects of real-time auditory travel information on drivers using EEG

Determinants of helmet use intention among e-bikers in China: An Application of the Theory of Planned Behavior, the Health Belief Model, and the Locus of Control

Evaluating the cognitive and psychological effects of real-time auditory travel information on drivers using EEG

Trucking in the era of COVID-19

Expendable to essential? Changing perceptions of gig workers on Twitter in the onset of COVID-19

Expendable to essential? Changing perceptions of gig workers on Twitter in the onset of COVID-19

Collaborators (4)

Shelia R Cotten

Jessica Liberman

Sicheng Wang

Irina Benedyk

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