Faculty and Staff Profile

Shubham Agrawal

Educational Background

Ph.D. Transportation and Infrastructure Systems Engineering
Purdue University 2020

M.S. Transportation and Infrastructure Systems Engineering
Purdue University 2015

B.Tech Civil Engineering
Indian Institute of Technology Bombay 2012

Courses Taught

PSYC 3090: Introduction to Experimental Psychology
PSYC 4980: Wearables in Cars (Creative Inquiry)
PSYC 8110: Research Design and Quantitative Methods II
PSYC 8730: Structural Equation Modeling in Applied Psychology
PSYC 8990: Introduction to Python and R

Profile

Shubham joined the Department of Psychology at Clemson University as an Assistant Professor in July 2022 and the Glenn Department of Civil Engineering as an Adjunct Assistant Professor in January 2024. Before this, he worked as a Postdoctoral Fellow at Clemson University on a National Science Foundation-funded project, WEAVE: Preparing the Future Workforce for the Era of Automated VEhicles. Shubham’s research is at the nexus of engineering and social sciences. His primary research focuses on human factors in transportation, especially related to emerging technologies such as connected & automated vehicles and wearable technologies.

Research Interests

Human Factors, Emerging Technologies, Connected & Automated Vehicles, Traveler Behavior, Information Systems, Workforce Development, Alternative Fuel Vehicles, Smart Mobility, Sustainable Living

Research Publications

1. Wang, S., Agrawal, S., Mack, E. A., Kalani, N., Chang, C.-H., Cotten, S. R., & Savolainen, P. (2024). Downscaling occupational employment data from the state to the census tract level. Applied Geography, 170, 103349. https://doi.org/10.1016/j.apgeog.2024.103349

2. Schuster, A. M., Van Fossen, J. A., Agrawal, S., Wang, S., Mack, E. A., Tidwell, M. L., & Cotten, S. R. (2024). Disadvantaged workers are not all alike in attitudes towards automation. Transportation Research Interdisciplinary Perspectives, 26, 101164. https://doi.org/10.1016/j.trip.2024.101164

3. Li, X., Zou, J., Agrawal, S., Guo, Y., Tang, T., & Feng, X. (2024). 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. Transportation. https://doi.org/10.1007/s11116-024-10508-2

4. Kolangarakath, A., Madathil, K. C., Hegde, S., Agrawal, S., Simmons, L., Bian, M., Molloseau, G., Holmstedt, C., LeBlanc, D., Harvey, J., McGeorge, T., Spampinato, M., & Roberts, D. (2024). Barriers to integrating portable magnetic resonance imaging systems in emergency medical service ambulances for stroke care. Ergonomics. 2367157. https://doi.org/10.1080/00140139.2024.2367157

5. Schuster, A. M., Agrawal, S.*, Britt, N., Sperry, D., Van Fossen, J. A., Wang, S., Mack, E. A., & Cotten, S. R. (2023). Will automated vehicles solve the truck driver shortages? Perspectives from the trucking industry. Technology in Society, 74, 102313. https://doi.org/10.1016/j.techsoc.2023.102313

6. Tang, T., Guo, Y., Wang, H., Li, X., & Agrawal, S. (2023). 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. Transportation Research Record. https://doi.org/10.1177/03611981231176290

7. Zhou, A., Liu, Y., Tenenboim, E., Agrawal, S., & Peeta, S. (2023). Car-following behavior of human-driven vehicles in mixed-flow traffic: A driving simulator study. IEEE Transactions on Intelligent Vehicles, 8(1), 2661-2673. https://doi.org/10.1109/TIV.2023.3257962

8. Agrawal, S.*, Peeta, S., & Miralinaghi, M. (2023). Multi-paradigm modeling framework to evaluate the impacts of travel patterns on electric vehicle battery lifespan. Journal of Advanced Transportation, 2023, 1689075. https://doi.org/10.1155/2023/1689075

9. Agrawal, S.*, Schuster, A. M., Britt, N., Mack, E. A., Tidwell, M. L., & Cotten, S. R. (2023). Building on the past to help prepare the workforce for the future with automated vehicles: A systematic review of automated passenger vehicle deployment timelines. Technology in Society, 72, 102186. https://doi.org/10.1016/j.techsoc.2022.102186

10. Agrawal, S.*, Peeta, S., & Benedyk, I. (2023). Evaluating the cognitive and psychological effects of real-time auditory travel information on drivers using EEG. Behaviour & Information Technology, 42(10), 1617-1639. https://doi.org/10.1080/0144929X.2022.2093273

11. Sperry, D., Schuster, A., Cotten, S. R., Agrawal, S., Mack, E. A., Britt, N., & Liberman, J. (2022). Trucking in the era of COVID-19. American Behavioral Scientist. https://doi.org/10.1177/00027642211066039

12. Guo, Y., Peeta, S., Agrawal, S., & Benedyk, I. (2022). Impacts of Pokémon GO on route and mode choice decisions: Exploring the potential for integrating augmented reality, gamification, and social components in mobile apps to influence travel decisions. Transportation, 49, 395-444. https://doi.org/10.1007/s11116-021-10181-9

13. Agrawal, S.*, Schuster, A., Britt, N., Liberman, J., & Cotten, S. R., (2022). Expendable to essential? Changing perceptions of gig workers on Twitter in the onset of COVID-19. Information, Communication & Society, 25(5), 634-653. https://doi.org/10.1080/1369118X.2021.2020323

14. Agrawal, S., & Peeta, S. (2021). Evaluating the impacts of situational awareness and mental stress on takeover performance under conditional automation. Transportation Research Part F: Traffic Psychology and Behaviour, 83, 210-225. https://doi.org/10.1016/j.trf.2021.10.002

15. Agrawal, S., & Peeta, S. (2021). Evaluating the impacts of driver’s pre-warning cognitive state on takeover performance under conditional automation. Transportation Research Part F: Traffic Psychology and Behaviour, 83, 80-98. https://doi.org/10.1016/j.trf.2021.10.004

16. Mack, E. A., Agrawal, S.*, & Wang, S. (2021). The impacts of the COVID-19 pandemic on transportation employment: A comparative analysis. Transportation Research Interdisciplinary Perspectives, 12, 100470. https://doi.org/10.1016/j.trip.2021.100470

17. Guo, Y., Agrawal, S., Peeta, S., & Benedyk, I. (2021). Safety and health perceptions of location-based augmented reality gaming app and their implications. Accident Analysis and Prevention, 161, 106354. https://doi.org/10.1016/j.aap.2021.106354

18. Agrawal, S., & Peeta, S. (2021). Hybrid route choice model incorporating latent cognitive effects of real-time travel information using physiological data. Transportation Research Part F: Traffic Psychology and Behaviour, 81, 223–239. https://doi.org/10.1016/j.trf.2021.05.021

19. Agrawal, S., Zheng, H., Peeta, S., & Kumar, A. (2016). Routing aspects of electric vehicle drivers and their effects on network performance. Transportation Research Part D: Transport and Environment, 46, 246–266. https://doi.org/10.1016/j.trd.2016.04.002

20. Guo, Y., Agrawal, S., Peeta, S., & Somenahalli, S. (2016). Impacts of property accessibility and neighborhood built environment on single-unit and multiunit residential property values. Transportation Research Record, 2568, 103–112. https://doi.org/10.3141/2568-15

Links