Transportation Graduate Program
The Transportation program at McGill University is unique in different ways. It is first highly interdisciplinary in light of the diversity of expertise brought by the three professors: Eluru, Hatzopoulou and Miranda-Moreno, and the large number of faculty on campus conducting transportation-related research. The program also benefits from strong collaborations with other universities and government agencies. Finally, the city of Montreal with its world class transportation facilities serves as a research laboratory.
The research expertise covered by the transportation nucleus in the Department revolves around three main pillars of transportation research and an overarching theme which connects them: 1) Transportation planning and travel demand modelling, 2) Transit demand and supply, and 3) Traffic engineering; intersecting with 4) Environment, safety, and sustainability. Beyond the Department of Civil Engineering and Applied Mechanics, a large number of faculty members at McGill are currently involved in transportation-related research in the Departments of Urban Planning, Geography, and Schools of Environment, Medicine, and Management. Collaborations with these groups are ongoing and we believe that the proposed program will help formalize some of these ties and promote student exchange within such an interdisciplinary atmosphere. For more details on individual professor expertise read on.
Naveen Eluru’s primary research areas of interest include transportation planning, socio-demographic and land-use modeling, sustainable urban design, integrated demand supply models, activity time-use analysis and transportation safety. Naveen is primarily involved in the formulation and development of discrete choice models that allow us to better understand the behavioral patterns involved in various decision processes. He has worked extensively with discrete choice models accounting for self-selection, simultaneous equation modeling, generalized ordered logit models, stated preference studies, multiple discrete-continuous frameworks, copula based models, composite likelihood approaches and multi-dimensional choice processes as part of his research. He is also actively involved in the development of activity-based modeling software for urban metropolitan regions. He has also worked on integration of activity based models with dynamic traffic assignment modules.
For more information on Prof. Eluru's research visit his research page.
My research area bridges between transportation and environmental modelling. My research interests lie in the development of integrated multi-model applications linking daily activities of urban populations and their resulting travel patterns with the generation, dispersion, and exposure to road transport emissions. I am particularly interested in studying the patterns of fuel consumption and air pollutant emissions on a household basis and contrasting them with the patterns of exposure to air pollution of cyclists, pedestrians, drivers, and transit riders.
I have also extensive experience in the development of evaluation tools for bridging transport policy analysis with decision-making. I examine ways in which the sustainability impacts of transport policy scenarios can be quantified through the development of performance measures linked with large-scale land-use and transport models.
After finishing my MSc and before returning to academia, I was an environmental consultant and have lead a number of Environmental Impact Studies for large infrastructure and urban development projects in the Middle East and North Africa, funded by the World Bank and the United States Agency for International Development (USAID). I have also prepared Environmental Management training workshops for directors of World Bank funded projects in Egypt, Iraq, Lebanon, Morocco, and Yemen.
Research activities in transportation engineering range from studies in traffic safety and travel behavior modeling to studies in sustainable transportation. Research interests in traffic safety include the development of crash prediction models, methodologies for detecting hazardous locations in road networks, before-after studies for evaluating the impact of highway safety countermeasures, non-motorized transportation safety, etc. In travel behavior and transport demand modeling, we have a particular interest in the modeling of spatio-temporal patterns of mobility and its relationship with ICT and urban form, the understanding of long-term changes in travel behaviour, and new survey and data collection methods. In the current context of climate change and oil supply issues, topics in sustainable transportation are also an important part of our research interests which include energy efficiency measures and emission quantification, issues related to the development of alternative transportation modes and environmental policy assessment.
Transportation research activities in our Department are greatly benefited from the interdisciplinary research environment at the Transportation Research at McGill (TRAM) research group, which is a multidisciplinary team including faculty members and students from both the Department of Civil Engineering & Applied Mechanics and the School of Urban Planning at McGill. The main goal of this research group is to generate valuable research and educate students through transportation research projects.
- Barla, P., Lamonde B., Miranda-Moreno, L.F., Boucher, N. (accepted), “Travelled distance, stock and fuel efficiency of private vehicles in Canada: price elasticities and rebound effect”, Transportation, 36, pp. 389-402.
- Miranda-Moreno L.F., Fu L., Lord D. and Ukkusuri S. (2009), “How to incorporate accident severity and vehicle occupancy into the hotspot identification process?”, Journal of the Transportation Research Board (in press).
- Lee-Gosselin, M. and Miranda-Moreno L.F. (2009), “What is different about spontaneous urban activities that were planned with the aid of ICTs? Some early evidence from Québec, Canada”, Journal of Transport Geography, 17, pp. 104-114.
- Miranda-Moreno, L.F. and Lee-Gosselin, M. (2008). “A week in the life of baby boomers: how do they see the spatial-temporal organization of their activities and travel?” Transportation, 35(5), pp. 629-653.
- Lord, D., and Miranda-Moreno, L.F. (2008), “Effects of low sample mean values and small sample sizes on the parameter estimation of hierarchical Poisson models for motor vehicle crashes: a Bayesian perspective”, Journal of Safety Science, 46, pp. 751-770.
- Miranda-Moreno, L.F., Labbe, A., and Fu, L. (2007), “Multiple Bayesian testing procedures for selecting hazardous sites”, Journal of Accident Analysis & Prevention, 39(6), pp. 1192-1201.