Paul Kishimoto is a PhD candidate in the Engineering Systems program of the Institute for Data, Systems and Society (IDSS/ES), working with Prof. Valerie Karplus (MIT Sloan), Prof. Jinhua Zhao (DUSP), John Reilly (co-director, JP), and others.
He is also affiliated with the Joint Program on the Science and Policy of Global Change (JP), where he completed his S.M. in the IDSS Technology & Policy Program (TPP); he also holds a B.A.Sc. in Engineering Science (Aerospace) from the University of Toronto.
With the support of the Martin Family Fellowship, Paul is studying the evolution of transport demand in China, with a focus on light-duty passenger vehicle purchase and use.
Chinese cities are seeking to achieve sustainable transport, which involves confronting the congestion, greenhouse gas, energy and air pollution impacts of driving in private fossil-fuelled vehicles. Paul’s research applies new methods and develops data sources to address uncertainty in the relationship between economic growth, urbanization and households’ transport consumption choices. He is also interested in assessing policies for transportation demand management, which cities in China and other countries are applying, in a profusion of combinations, to guide the evolution of transport systems.