I am a transportation geographer with a particular research focus on the spatial dimensions of the adoption and use of emerging transportation technologies and services. I am actively researching how early adopters of hydrogen fuel cell vehicles use sparse refueling infrastructure and implications for future station planning methods. I also evaluate how prospective users of automated and driverless vehicles consider travel with these technologies under certain conditions and the resultant potential impacts for cities and regions.
I apply spatial and quantitative analysis in my research, with an emphasis on the collection of primary data to inform decisions that can help facilitate a transition to a more sustainable transportation sector.
- GEOG/GEOL 210: Introduction to Geotechnology
- GEOG 405/605: GIS 1: Geographic Information Systems and Science
- GEOG 457/657: Transportation Policy and Planning -
- GEOG 701H: Advanced Cartography (Geospatial Analysis in Python)
- B.S., Geography, University of Wyoming, 2006
- M.A., Geography, Arizona State University, 2008
- Ph.D., Geography, Arizona State University, 2015
- Kelley, S., B.W. Lane, B.W. Stanley, K. Kane, E. Nielsen, and S. Strachan. 2019. Smart transportation for all? A typology of recent U.S. smart transportation projects in mid-sized cities. Annals of the American Association of Geographers, https://doi.org/10.1080/24694452.2019.1643702.
- Kelley, S., B.W. Lane and J.M. DeCicco. 2019. Pumping the brakes on robot cars: Current urban traveler willingness to consider driverless vehicles. Sustainability 11(18): 5042.
- Zhao, Q., S. Kelley, F. Xiao, and M. Kuby. 2019. A multi-scale framework for fuel station location: From highways to street intersections. Transportation Research Part D: Transport and Environment, 74: 48-64.
- Lopez, O., R. Stotts, S. Kelley, and M. Kuby. 2019. Content analysis of interviews with hydrogen fuel cell vehicle drivers in Los Angeles. Transportation Research Record.
- Kelley, S. AFV Refueling stations and the complexity of freeway intersections: the scale dependency of network representation. 2017. International Journal of Geographical Information Science, 31 (2): 346-363.