Senior Sustainability Scientist, Julie Ann Wrigley Global Institute of Sustainability
Professor, School of Geographical Sciences and Urban Planning, College of Liberal Arts and Sciences
Director, Interdisciplinary Graduate Certificate Program in Transportation Systems, Arizona State University
School of Geographical Sciences and Urban Planning
Arizona State University
Tempe, AZ 85287-5302
Michael Kuby is a professor of Geographical Sciences and Urban Planning at Arizona State University, where he has taught since 1988. His research has been funded by the National Science Foundation, US Department of Energy, World Bank, U.S. Army Corps of Engineers, and NASA. He was a co-author of the Transportation chapter in the 3rd National Climate Assessment in 2014. He is lead author of the interactive textbook, Human Geography in Action, published by John Wiley & Sons, and co-editor of the 2009 and 2015 Arizona Town Hall Background Reports on Transportation. He is currently Area Editor for Location Science for Networks and Spatial Economics and is on the editorial board of the Journal of Transport Geography. Previously, he served as Chair and Secretary/Treasurer of the Transportation Geography Specialty Group of the Association of American Geographers. He is also faculty advisor of Gamma Theta Upsilon (the Geography Honor Society) and the ASU Men's Ultimate Frisbee club.
- optimal facility location
- energy policy
- climate change and adaptation
- geographic information science
- decision making
- urban planning
- energy conservation
- multi-objective optimization
- light rail
- carbon capture
- fueling/charging stations
- alternative vehicles
- alternative fuels
- urban systems
- urban infrastructure
- network design models
- modeling and simulation
PhD, Geography, Boston University, 1988
BA, Geography, University of Chicago, 1980
Kuby, M., O. M. Araz, M. Palmer and I. Capar. 2014. An efficient online mapping tool for finding the shortest feasible path for alternative-fuel vehicles. International Journal of Hydrogen Energy 39(32):18433-18439. DOI: 10.1016/j.ijhydene.2014.08.104. (link)
Seo, K., A. Golub and M. Kuby. 2014. Combined impacts of highways and light rail transit on residential property values: a spatial hedonic price model for Phoenix, Arizona. Journal of Transport Geography 41:53-62. DOI: 10.1016/j.jtrangeo.2014.08.003. (link)
Upchurch, C. and M. Kuby. 2014. Evaluating light rail sketch planning: Actual versus predicted station boardings in Phoenix. Transportation 41(1):173-192. DOI: 10.1007/s11116-013-9499-9. (link)
Capar, I., M. Kuby, V. J. Leon and Y. Tsai. 2013. An arc cover-path-cover formulation and strategic analysis of alternative-fuel station locations. European Journal of Operational Research 227(1):142-151. DOI: 10.1016/j.ejor.2012.11.033. (link)
Kelley, J., M. Kuby and R. Sierra. 2013. Transportation network optimization for the movement of indigenous goods in Amazonian Ecuador. Journal of Transport Geography 28(April):89-100. DOI: 10.1016/j.jtrangeo.2012.11.006. (link)
Kelley, S. and M. Kuby. 2013. On the way or around the corner? observed refueling choices of alternative-fuel drivers in southern California. Journal of Transport Geography 33(December):258-267. DOI: 10.1016/j.jtrangeo.2013.08.008. (link)
Kim, J. and M. Kuby. 2013. A network transformation heuristic approach for the deviation flow refueling location model. Computers & Operations Research 40(4):1122-1131. DOI: 10.1016/j.cor.2012.10.021. (link)
Kuby, M. J., S. B. Kelley and J. Schoenemann. 2013. Spatial refueling patterns of alternative-fuel and gasoline vehicle drivers in Los Angeles. Transportation Research Part D: Transport and Environment 25(December):84-92. DOI: 10.1016/j.trd.2013.08.004. (link)
Maliszewski, P. J., M. J. Kuby and M. W. Horner. 2012. A comparison of multi-objective spatial dispersion models for managing critical assets in urban areas. Computers, Environment and Urban Systems 36(4):331-341. DOI: 10.1016/j.compenvurbsys.2011.12.006. (link)
Middleton, R. S., M. J. Kuby, R. Wei, G. N. Keating and R. J. Pawar. 2012. A dynamic model for optimally phasing in CO2 capture and storage infrastructure. Environmental Modelling & Software 37(November):193-205. DOI: 10.1016/j.envsoft.2012.04.003. (link)
Atkinson-Palombo, C. and M. J. Kuby. 2011. The geography of advance transit-oriented development in metropolitan Phoenix, Arizona, 2000-2007. Journal of Transport Geography 10(2):189-199. DOI: 10.1016/j.jtrangeo.2010.03.014. (link)
Kuby, M., C. He, B. Trapido-Lurie and N. Moore. 2011. The changing structure of energy supply, demand, and CO2 emissions in China. Annals of the Association of American Geographers 101(4):795-805. DOI: 10.1080/00045608.2011.567944. (link)
Upchurch, C. and M. Kuby. 2010. Comparing the p-median and flow-refueling models for locating alternative-fuel stations. Journal of Transport Geography 18(6):750-758. DOI: 10.1016/j.jtrangeo.2010.06.015. (link)
Kalkstein, A. J., M. Kuby, D. Gerrity and J. J. Clancy. 2009. An analysis of air mass effects on rail ridership in three US cities. Journal of Transport Geography 17(3):198-207. DOI: 0.1016/j.jtrangeo.2008.07.003. (link)
Kuby, M. J., W. F. Fagan, C. S. ReVelle and W. L. Graf. 2005. A multiobjective optimization for dam removal: An example trading off salmon passage with hydropower and water storage in the Willamette basin. Advances in Water Resources 28(2005):845-855. DOI: 10.1016/j.advwatres.2004.12.015. (link)
Kuby, M., C. Upchurch and A. Barranda. 2004. Factors influencing light rail station boardings in the United States. Transportation Research Part A 38(3):223-247.
Upchurch, C., M. Kuby, M. A. Zoldak and A. Barranda. 2004. Using GIS to generate mutually exclusive service areas linking travel on and off a network. Journal of Transport Geography 12:23-33.
Kuby, M., R. S. Cerveny and R. Dorn. 1997. A new approach to paleoclimatic research using linear programming. Palaeogeography, Palaeoclimatology, Palaeoecology 129: 269-290.
Zhijun, X. and M. Kuby. 1997. Supply side-demand side optimization and cost-environment tradeoffs for China's coal and electricity system. Energy Policy 25(3):313-326.
Wyman, M. M. and M. Kuby. 1996. Proactive optimization: a multiobjective technology location model for designing toxic waste systems.. Location Science (3):167-185.
Rahman, M. and M. Kuby. 1995. A multiobjective model for locating distance-based opposition function. INFOR-The Canadian Journal of Operational Research and Information Processing 34-49.
Rahman, M., A. E. Radwan, J. Upchurch and M. Kuby. 1992. Modeling spatial impacts of siting a NIMBY facility. Transportation Research Record 133-140.
Kuby, M., J. Harner and P. Gober. 2013. Human Geography in Action, 6th Edition. John Wiley & Sons, Inc. New York, NY.
Clancy, J., A. Kalkstein, D. Gerrity and M. Kuby. 2006. An analysis of air-mass effects on the use of rail transit systems. Poster presented at the 19 January 2006 CAP LTER 8th Annual Poster Symposium, Global Institute of Sustainability, Arizona State University, Tempe, AZ. (link)
Clancy, J., A. Kalkstein, D. Gerrity and M. Kuby. 2005. An analysis of air-mass effects on the use of the rail transit systems. Poster presented at the Association of Pacific Coast Geographers Regional Conference annual meeting.
Harner, J., M. Kuby and P. Gober. 2002. Hands-on learning about urban sprawl. Poster presented at January 17, 2002, CAP LTER Fourth Annual Poster Symposium, Center for Environmental Studies, Arizona State University, Tempe, AZ. (link)
Kuby, M., E. Matranga and S. Conway. 1999. Sustainability in Scottsdale: Geographic analysis of resource and waste flows. Poster presented at the 22 January 1999, CAP LTER First Annual Poster Symposium, Center for Environmental Studies, Arizona State University, Tempe.
In: Kuby, M. and A. Golub eds., 2015. Transportation & Arizona: Spring 2015 Arizona Town Hall Background Report. Arizona Town Hall. 106. (link)
Schwartz, H. G., M. Meyer, C. J. Burbank, M. Kuby, C. Oster, J. Posey, E. J. Russo and A. Rypinski. 2014. Chapter 5. Transportation. Pp. 130-149 In: Richmond, T. and G. W. Yohe eds., Climate Change Impacts in the United States: The Third National Climate Change Assessment. U.S. Global Change Research Program. (link)