Robert C. Hampshire is a research associate professor in both the U-M Transportation Research Institute's (UMTRI) Human Factors group and Michigan Institute for Data Science (MIDAS), an associate professor of public policy at the Ford School, and an affiliated faculty member in the Department of Industrial and Operations Engineering (IOE). Hampshire received a PhD in operations research and financial engineering from Princeton University.
Professor Hampshire develops and applies operations research, data science and systems engineering methodologies to public and private service industries. His research focuses on the management and policy analysis of emerging innovative mobility services such as smart parking, connected vehicles, autonomous vehicles, ride-hailing, bike sharing, and car sharing. He has worked extensively with both public and private sectors partners worldwide. He is a queueing theorist that uses statistics, stochastic modeling, simulation and dynamic optimization.
- Schuijbroek, J.*, Hampshire, R. C., & van Hoeve, W. J. (2017). Inventory rebalancing and vehicle routing in bike sharing systems. European Journal of Operational Research, 257(3), 992-1004.
- Faghih-Imani, A.*, Hampshire, R. C., Marla, L., & Eluru, N. (2017). An empirical analysis of bike sharing usage and rebalancing: Evidence from barcelona and seville. Transportation Research Part A: Policy and Practice, 97, 177-191.
- Hampshire, R. C., Jordon, D.*, Akinbola, O.*, Richardson, K.*, Weinberger, R., Millard-Ball, A., & Karlin-Resnik, J. (2016). Analysis of Parking Search Behavior with Video from Naturalistic Driving. Transportation Research Record: Journal of the Transportation Research Board, (2543), 152-158.
- Millard-Ball, A., Weinberger, R. R., & Hampshire, R. C. (2014). Is the curb 80% full or 20% empty? Assessing the impacts of San Francisco’s parking pricing experiment. Transportation Research Part A: Policy and Practice, 63, 76-92. (author ordered selected randomly)
- Fabusuyi, T.*, Hampshire, R. C., Hill, V. A., & Sasanuma, K*. (2014). Decision Analytics for Parking Availability in Downtown Pittsburgh. Interfaces, 44(3), 286-299.