Kevin Curtin
Professor
Director, Laboratory for Location Science
- email: kmcurtin@ua.edu
- office location Shelby Hall 2019-D
- Website
Education
- PhD, University of California - Santa Barbara, 2002
- MA, University of Illinois at Chicago, 1995
- BA, University of Illinois at Chicago, 1994
Research Areas
- Geographic Information Science
- Facilities location science
- Transportation, logistics, and network GIS
- Urban and environmental resource allocation
- Data modeling and database design
Bio
Kevin M. Curtin is Professor of Geography and Director of the Laboratory for Location Science at the University of Alabama. Dr. Curtin received his PhD in Geography from the University of California – Santa Barbara, with a dual focus on GIS and optimal facilities location. He performs primary research in the field of Geographic Information Science with specializations in location science, transportation and logistics, spatial movement behavior, spatial statistics, and network GIS. Application areas for his research include autonomous vehicle logistics, transportation geography, crime studies, health and nutrition, and geospatial intelligence. He teaches extensively at both the undergraduate and graduate university levels, and has served on over 130 thesis and dissertation committees. Funding from the Office of Naval Research, the National Science Foundation, and the Army Research Institute is supporting students and faculty associated with his research laboratory.
Labs
Selected Publications
- Xia, J., K.M. Curtin, J. Huang, D. Wu, W. Xiu, & Z. Huang. 2019. A carpool matching model with both social and route networks. Computers, Environment and Urban Systems 75(3): 90-102. https://doi.org/10.1016/j.compenvurbsys.2019.01.008.
- Rice, M.T., R.D. Jacobson, D. Pfoser, K.M. Curtin, H. Qin, K. Coll, R. Rice, F. Paez, A. Aburizaiza. 2018. Quality assessment and accessibility mapping in an image-based geocrowdsourcing testbed. Cartographica 53(1): 1-14. doi:10.3138/cart.53.1.2017-0013.
- Qin, H., K. M. Curtin, and M. T. Rice. 2017. Pedestrian network repair with spatial optimization models and geocrowdsourced data. GeoJournal 61. 61:1079-1088. doi:10.1007/s10708-017-9775-x
- Curtin, K. M., G. Voicu, M.T. Rice, and A. Stefanidis. 2014. A comparative analysis of traveling salesman solutions from geographic information systems. Transactions in GIS 18(2): 286-301.
- Eckley, D.C. and K.M. Curtin. 2013. Evaluating the spatiotemporal clustering of traffic incidents. Computers, Environment, and Urban Systems 37 (1), 70-81. http://dx.doi.org/10.1016/j.compenvurbsys.2012.06.004
- Pawloski, L.R., K.M. Curtin, C. Gewa, and D. Attaway. 2012. Maternal-child overweight/obesity and undernutrition in Kenya: a geographic analysis. Public Health Nutrition 15(11), 2140-2147. http://dx.doi.org/10.1017/S1368980012000110
- Curtin, K. M. and S. Biba. 2011. The transit route arc-node service maximization problem. European Journal of Operational Research 208(1), 46-56.
- Curtin, K.M., K. Hayslett-McCall, and F. Qiu. 2010. Determining optimal police patrol areas with maximal covering and backup covering location models. Networks and Spatial Economics 10 (1) 145-165.