Professor Matthew  J. Roorda

Professor Matthew Roorda

Contact me

Matthew J Roorda
Dept. of Civil Engineering
University of Toronto
35 St. George St.
Toronto, Ontario
Canada, M5S 1A4

Tel: 416-978-5976
Fax: 416-978-6813

My research program covers both urban freight and passenger travel research initiatives.  In urban freight, research is underway to develop the state of freight data in the Greater Toronto Area through data collection initiatives.  This is an essential first step in developing behavioural models of decision-making by the various actors involved in the freight system including shippers, carriers, logistics firms, etc.  Armed with a better understanding of such behaviour, we are developing forecasting models of commercial vehicle movements, that are sensitive to government policy, changes in logistics processes and changes in the global and regional economy.

Passenger travel initiatives are also well underway, with an emphasis on developing improved methods for representing human behaviour that leads to travel on urban roadways, on transit systems, and by other modes such as cycling and walking.  The emphasis of this research includes activity based methods of forecasting travel demand, understanding the short and long term dynamics of travel behaviour, and the linkages between short-term activity scheduling decisions and longer term household decisions such as car ownership and residential location.  Microsimulation of traffic, emissions and exposure to vehicle pollutants is another research thrust.

The research is both exciting and challenging.  There is a strong and on-going need for such analysis tools and data to analyze the impacts of many policy decisions being made by our government representatives, and by industry every day.  I am confident that the research is and will continue to influence those decisions, to result in a more sustainable, efficient and equitable urban transportation system.

Titles and Professional Affiliations

Licensed Professional Engineer, Professional Engineers of Ontario (PEO)
Member, Institute of Transportation Engineers (ITE)
Member, Transportation Research Board Committees (ADB10, ABJ40, ATO15)
Member, International Association of Travel Behaviour Research (IATBR)
Member, Canadian Transportation Research Forum (CTRF)


Course Code Title & Description Keywords Instructor Session Timetable

Current and Recent Research Projects

Centre for Urban Freight Analysis

Principal Investigator:  M. J. Roorda


The Centre for Urban Freight Analysis is a multi-purpose facility for the advancement of freight research. The Centre consists of the following new physical infrastructure:

  • A dedicated space in the Intelligent Transportation Systems (ITS) Centre & Testbed at the University of Toronto, featuring a new interactive video wall for the display of real-time truck location data
  • A series of 30 “Base-stations” installed on traffic camera poles along freeway corridors throughout the Toronto Area. These units receive route tracking and engine information from 20,000+ trucks enrolled in the fleet management program of Turnpike Global Technologies, a project partner. This large number of base-stations will result in truck location data that is very close to “real-time”
  • Electronic links to the ITS Centre & Testbed for the transmission and integration of real-time “public-sector” traffic flow information with real-time “private-sector” truck routing information.

The Centre performs the following functions:
1) Gathers and archives real-time truck location and engine data
2) Provides real-time GPS-based traffic information to the Ministry of Transportation of Ontario
3) Provides an interactive space for research

Developing Urban Goods Movement Data in the GTHA: Framework and Preliminary Implementation

Principal Investigator:  M. J. Roorda
Co-investigator: Pavlos Kanaroglou (McMaster University)


The objective of this project is to address the need for coordinated Urban Goods Movement (UGM) data collection and data management that is suitable to support modelling, analysis and benchmarking with the ultimate purpose of informing UGM-related public policy and measuring UGM performance in the GTHA.

A comprehensive framework is being developed for ongoing UGM data assembly, consolidation, collection and management in the GTHA that meets the information needs for UGM planning and policy development. The framework will establish clear links between the data and the modelling, planning and policy development applications for the data. The framework will include a plan for consolidating data from existing data programs where possible, and an implementable plan for new data collection where necessary. The framework will identify an organizational structure for data consolidation, collection and management so that the value of all individual data investments (made by Metrolinx and other stakeholders) are maximized and synergies between data sources are exploited.

The organizational structure is being formed, data from existing UGM data programs is being consolidated / documented and a preliminary data collection effort will be implemented, consistent with the framework above. The result will be a tangible, coordinated and accessible information base for UGM planning and policy development in the GTHA, and a demonstrated program for ongoing extensions to the UGM information base.

Dynamic microsimulation modelling of urban commercial vehicle operations using GPS data

Principal Investigator: M.J. Roorda 


The purpose of this project is to use electronic on-board recorder data to develop a public sector decision-support tool that has the capability of predicting patterns of commercial vehicle tours, incorporating dynamics of business operations over time.

A new source of Global Positioning System (GPS) data from 30,000 trucks tracked by a partnering fleet management firm is being used to estimate dynamic integrated models of shipment frequency, stop dwell time, and tour formation. Novel techniques are being developed for processing GPS data for model estimation, modelling dynamic tour behaviour, and microsimulating truck operations using parallel computing. Decision-support software are being developed to assess parking policy, truck route restrictions and incentives for off-peak deliveries. Robust policy analysis, using inexpensive GPS data, has strong potential to reduce congestion and improve the competitiveness of Ontario’s urban economies.

A Truck Emissions Simulation Tool for Assessing Green Commercial Vehicle Policy

Principal Investigator:  M. J. Roorda

This research addresses the issue of GHG emissions and community exposure to air pollutants emitted by trucks. Air pollution is a major health (and health cost) issue for Ontarians, especially those living adjacent to congested areas in the City of Toronto and the surrounding Regions. The research builds an innovative integrated tool that models traffic at the individual vehicle level, estimates individual truck emissions, estimates dispersion of pollutants to neighbouring communities under different weather conditions, and estimates the exposed population at times of peak emissions.

Agent Based Microsimulation of Freight Transport and Firm Behaviour

Principal Investigator:  M. J. Roorda


The objectives of this research are to (a) Develop the conceptual and computational architecture for an agent-based microsimulation framework for goods movement and firm behaviour, and (b) Formulate and estimate a set of behavioural models for goods movement and firm behaviour.

The modelling framework being developed in this research attempts to replicate the behaviour of individual firms and carriers in response to economic and technological trends, model the shipments of goods throughout the city and the movement of trucks on urban roads. With this information, it will be possible to test policy scenarios (such as road restrictions, zoning bylaws, or investment in new infrastructure), in a “virtual” setting. The tool will help various government agencies, when making policy decisions, to be more informed about the resulting impacts on traffic congestion, road safety, air quality, noise and the economic impacts on affected firms.


Refereed Journals Publications

  1. Edrissi, A., Nourinejad, M. and Roorda, M.J. (In Press). Transportation Network Reliability in Emergency Response. Transportation Research Part E.
  2. Yasmin, F., Morency, C. and M.J. Roorda. (In Press).  Assessment of spatial transferability of an activity-based model, TASHA. Transportation Research Part A:  Policy and Practice.
  3. Wenneman, A., Nurul Habib, K.M., and Roorda, M.J. (In press).  A Disaggregate Analysis of the Relationships between Commercial Vehicle Parking Citations, Parking Supply, and Parking Demand.   Paper accepted in Transportation Research Record: Journal of the Transportation Research Board
  4. Nourinejad, M.  and Roorda, M.J. (2015).  Carsharing Operations Policies: A Comparison between One-Way and Two-Way Systems. Transportation.  42(3): 497-518.
  5. Yasmin, F. Morency, C. and Roorda, M.J. (In press).  Trend analysis of activity generation attributes over time. Transportation
  6. Amirjamshidi, G. and Roorda, M.J. (2015). Development of Simulated Driving Cycles for Light, Medium, and Heavy Duty Trucks: Case of the Toronto Waterfront Area. Transportation Research Part D. 34:255-266.
  7. Bachmann, C., M.J. Roorda, and C. Kennedy (In press).  Developing a Multi-Scale, Multi-Region Input Output Model. Economic Systems Research.
  8. Bachmann, C., Chingcuanco, F., MacLean, H., and M.J. Roorda (2014). Life Cycle Assessment of Diesel-Electric Hybrid and Conventional Diesel Trucks for Deliveries. ASCE Journal of Transportation Engineering. 141(4): 05014008. (submitted January 22, 2013; Accepted October 20, 2014).
  9. Rudra, M. and M.J. Roorda (2014).  Truck-Only Lanes on Urban Arterials: A Value of Time Approach.  Procedia – Social and Behavioural Sciences. 125 pp. 75-83.
  10. Bachmann, C., C. Kennedy and M.J. Roorda (2014).  Applications of Random Utility Based Multi-Region Input–Output Models of Transport and the Spatial Economy. Transport Reviews. 34(4): 418-440.
  11. Nourinejad, M. , Wenneman, A. , Nurul Habib, K.  and M.J. Roorda (2014) Truck Parking In Urban Areas: Application of Choice Modelling Within Traffic Microsimulation. Transportation Research Part A. 64:54-64.
  12. Nourinejad, M. and Roorda, M.J. (2014).  A Dynamic Carsharing Decision Support System. Transportation Research Part E.  66C: 36-50.
  13. Cavalcante R. and M. J. Roorda (2013). Freight Market Interactions Simulation (FREMIS): An Agent-Based Modeling Framework. Procedia Computer Science.19: 867-973.
  14. Sharman, B. and Roorda, M.J. (2013).  Multilevel Modelling of Commercial Vehicle Inter-Arrival Duration Using GPS Data. Transportation Research Part E:  Logistics and Transportation Review. 56(2): 94-107.
  15. McCabe, S., Kwan, H. and Roorda, M.J. (2013).  Comparing GPS and Non-GPS Survey Methods for Collecting Urban Goods and Service Movements.  International Journal of Transport Economics.  40 (2): 183-206.
  16. Misra, A., MacLean H. and M.J. Roorda (2013).  An Integrated Modelling Approach to Estimate Urban Traffic Emissions.  Atmospheric Environment. 73: 81-91.
  17. Paez, A., S. Farber, R. Mercado, M. Roorda and C. Morency (2013).  Jobs and the Single Parent:  Accessibility to Employment in Toronto. Urban Geography 34(6):  815-82.
  18. Amirjamshidi, G., Mostafa, T., Misra, A., and M.J. Roorda (2013). Integrated Model for Microsimulating Vehicle Emissions, Pollutant Dispersion and Population Exposure. Transportation Research Part D: Transport and Environment. 18(1): 16-24
  19. Bachmann, C., Abdulhai, B., Roorda, M.J. and B. Moshiri (2013). A Comparative Assessment of Multi-Sensor Data Fusion Techniques for Freeway Traffic Speed Estimation. Transportation Research Part C – Emerging Technologies. 26: 33-48.
  20. Raykin, L., MacLean, H.L. and M.J. Roorda (2012). Implications of Driving Patterns on Well-to-Wheel Performance of Plug-in Hybrid Electric Vehicles. Environmental Science and Technology. 46(11): 6363-6370.
  21. Bachmann, C., Roorda, M.J., Abdulhai, B. and B. Moshiri (In Press). Fusing a Bluetooth Traffic Monitoring System with Loop Detector Data for Improved Freeway Traffic Speed Estimation. Accepted for publication in Journal of Intelligent Transportation Systems: Technology, Planning, and Operations
  22. Sharman, B., Roorda, M.J. and K.M.N. Habib (2012). Comparison of Parametric and Non-Parametric Hazard Models of Stop Durations on Urban Commercial Vehicle Tours. Transportation Research Record: Journal of the Transportation Research Board 2269, pp. 117-126.
  23. Bachmann, C., Abdulhai, B., Roorda, M.J. and B. Moshiri (2012). Multisensor Data Integration and Fusion in Traffic Operations and Management. Paper accepted for publication in Transportation Research Record.
  24. Dumont, J., A. Shalaby and M.J. Roorda (2012). A GPS-Aided Survey for Assessing Trip Reporting Accuracy and Travel of Students Without Land Lines. Transportation Planning and Technology. 35(2): 161-173.
  25. Raykin, L., Roorda, M.J. and H.L. MacLean (2012). Impacts of Driving Patterns on Tank-to-Wheel Energy Use of Plug-in Hybrid Electric Vehicles. Transportation Research Part D: Transport and Environment. 17(3): 243-250.
  26. Mercado, R., Paez, A., Farber, S., Roorda, M., and C. Morency (2012). Explaining transport mode use of low-income persons for journey to work in urban areas: A case study of Ontario and Quebec. Transportmetrica 8(3): 157-180.
  27. Saneinejad, S., Roorda, M.J., and C. Kennedy (2012). Modelling the Impact of Weather Conditions on Active Transportation Travel Behaviour. Transportation Research Part D: Transport and Environment 17(2): 129-137.
  28. Roorda, M.J. (2011). Data Collection Strategies for a Benchmarking Urban Goods Movement Across Canada. Transportation Letters 3(3).
  29. Bachmann, C., M.J. Roorda and B. Abdulhai (2011). Improved Time-to-Collision Definition for Simulating Traffic Conflicts on Truck-Only Infrastructure. Transportation Research Record: Journal of the Transportation Research Board 2237. pp. 31-40.
  30. Sharman, B. and M.J. Roorda (2011). Analysis of Freight GPS Data: A Clustering Approach for Identifying Trip Destinations.Transportation Research Record: Journal of the Transportation Research Board 2246. pp. 83-91.
  31. Cavalcante, R. and M.J. Roorda (2011). Bayesian Approach for Identifying Efficient Stated Choice Survey Designs With Reduced Prior Information. Transportation Research Record 2246. pp. 38-46.
  32. Abdelgawad, H., B. Abdulhai, G. Amirjamshidi, M. Whaba, C. Woudsma, M.J. Roorda (2011). Simulation of Exclusive Truck Facilities on Urban Freeways. ASCE Journal of Transportation Engineering. 137(8), pp. 547-562.
  33. Roorda, M., A. Shalaby, and S. Saneinejad (2011). Comprehensive Transportation Data Collection: A Case Study in the Greater Golden Horseshoe, Canada. ASCE Journal of Urban Planning and Development 137(2), pp. 193-203.
  34. Ruiz, T., and M. Roorda (2011). Assessing Planning Decisions by Activity Type During the Scheduling Process. Transportmetrica 7(6).
  35. Roorda, M., M. Hain, G. Amirjamshidi, R. Cavalcante, B. Abdulhai, C. Woudsma (2010). Exclusive Truck Facilities in the Toronto Area: Analysis of Truck and Automobile Demand. Transportation Research Record: Journal of the Transportation Research Board 2168, pp. 114-128.
  36. Farber, S., Páez, A., Mercado, R.G., Roorda, M., and C. Morency (2010). Transport and social exclusion: A time-use investigation of shopping participation in three Canadian cities. Forthcoming in Transportation.
  37. Mitra, R., R.N. Buliung, and M.J. Roorda (2010). Built Environment Influences on School Travel Mode Choice in Toronto, Canada.Transportation Research Record: Journal of the Transportation Research Board 2156, pp. 150-159.
  38. Morency, C., Paez, A., Roorda, M., Mercado, R. and S. Farber (2010). Distance Traveled in Three Canadian Cities: Spatial Analysis from the Perspective of Vulnerable Population Segments. Journal for Transport Geography 19 (1): 39-50.
  39. Paez, A., R. Mercado, S. Farber, C. Morency and M. Roorda (2010). Accessibility to Health Care Facilities in Montreal Island: An Application of Relative Accessibility Indicators from the Perspective of Senior and Non-Senior Residents. International Journal of Health Geographics. 9(52).
  40. Roorda, M. Paez, A., Morency, C., Mercado, R. and S. Farber (2010). Trip Generation of Vulnerable Populations in Three Canadian Cities: A Spatial Ordered Probit Approach. Transportation. 37(3): 525-548.
  41. Roorda, M., Cavalcante, R., McCabe, S., and H. Kwan (2010). A conceptual framework for agent-based modelling of logistics services.Transportation Research Part E: Logistics and Transportation Review. 46(1): 18-31.
  42. Paez, A., Mercado, R., Farber, S., Morency, C., and M. Roorda (2010). Relative Accessibility Deprivation Indicators for Urban Settings: Definitions and Application to Food Deserts in Montreal. Urban Studies. 47(7): 1415-1438.
  43. Roorda, M.J., D. Passmore, and E.J. Miller (2009). Including Minor Modes of Transport in a Tour-Based Mode Choice Model with Household Interactions. ASCE Journal of Transportation Engineering. 135(12): 935-945.
  44. Saneinejad, S., and M.J. Roorda (2009). Application of Sequence Alignment Methods in Clustering and Analysis of Routine Weekly Activity Schedules. Transportation Letters. 1(3): 197-211.
  45. Auld, J., Mohammadian, A., and M.J. Roorda (2009). Implementation of a scheduling conflict resolution model in an activity scheduling system. Transportation Research Record: Journal of the Transportation Research Board.2135, pp. 96-105.
  46. Morency, C., Roorda, M. and M. Demers (2009). Steps in reserve: Comparing latent walk trips in Toronto and Montreal. Transportation Research Record: Journal of the Transportation Research Board 2140, pp. 111-119.
  47. El-Tantawy, S.,Djavadian, S., Roorda, M.J. and B. Abdulhai (2009). Safety Evaluation of Truck -Lane Restriction Strategies using Micro-Simulation Modeling. Transportation Research Record: Journal of the Transportation Research Board.2099, pp. 123-131.
  48. Roorda, M. J., J. A. Carrasco and E. J. Miller (2009). An Integrated Model of Vehicle Transactions, Activity Scheduling and Mode Choice.Transportation Research Part B: Methodological. 43(2): pp. 217-229.
  49. Buliung, R., M.J. Roorda and T.K. Remmel (2008). Exploring Spatial Variety in Patterns of Activity-Travel Behaviour: Initial Results from the Toronto Travel-Activity Panel Survey (TTAPS). Transportation. 35(6): 697-722.
  50. Roorda, M.J., C. Morency, and K. Woo (2008). Two Cities, Two Realities? A Closer Look at the Evolution of Trip Rates in Toronto and Montreal. Transportation Research Record: Journal of the Transportation Research Board 2082, pp. 156-167.
  51. Ruiz, T. and M.J. Roorda (2008). Analysis of Planning Decisions During the Activity Scheduling Process. Transportation Research Record: Journal of the Transportation Research Board 2054, pp. 46-55.
  52. Roorda, M.J. and T. Ruiz (2008). Long and Short-term Dynamics in Activity Scheduling: A Structural Equations Approach. Transportation Research Part A: Policy and Practice. 42(3), pp. 545-562.
  53. Roorda, M. J., E. J. Miller and K. Habib (2008). Validation of TASHA: A 24-Hour Activity Scheduling Microsimulation Model. Transportation Research Part A: Policy and Practice. 42(2), pp. 360-375.
  54. Roorda, M.J. and B.K. Andre (2007). A Stated Adaptation Survey of Scheduling Responses to Delays: Empirical and Preliminary Model Results. Transportation Research Record 2021. pp. 45-54.
  55. Roorda, M.J., E.J. Miller and N. Kruchten (2006). Incorporating Within-household Interactions Into a Mode Choice Model Using a Genetic Algorithm for Parameter Estimation. Transportation Research Record 1985. pp.171-179.
  56. Roorda, M.J. and E.J. Miller (2006). Assessing Transportation Policy Using an Activity-Based Microsimulation Model of Travel Demand.ITE Journal. November Issue.
  57. Miller, E.J., M.J. Roorda and J.A. Carrasco (2005). A Tour-Based Model of Travel Mode Choice. Transportation. 32(4): pp. 399-422.
  58. Doherty, S.T., E. Nemeth, M.J. Roorda and E.J. Miller. (2004). Design and Assessment of the Toronto Area Computerized Household Activity Scheduling Survey. Transportation Research Record 1894. pp. 140-149.
  59. Miller, E.J., M.J. Roorda, M. Haider and A. Mohammadian (2004). Empirical Analysis of Travel and Housing Expenditures in the Greater Toronto, Canada, Area. Transportation Research Record 1898. pp. 191-201.
  60. Miller, E.J. and M.J. Roorda (2003). A Prototype Model of 24-Hour Household Activity Scheduling for the Toronto Area. Transportation Research Record 1831. pp. 114-121.
  61. Roorda, M. J., E.J. Miller and A. Mohammadian. (2000). Toronto Area Car Ownership Study: A Retrospective Interview and its Applications. Transportation Research Record 1719. pp. 69-76.
  62. Aultman-Hall, L., M.J. Roorda and B. Baetz (1997). Using GIS for Evaluation of Neighbourhood Pedestrian Accessibility. ASCE Journal of Urban Planning and Development. 123 (1): pp. 10-15.


  • Roorda, M.J. and E.J. Miller (eds.) (2013).  Travel  Behaviour Research: Current Foundations, Future Prospects.  Select Papers from the 13th International Conference on Travel Behaviour Research.  Lulu Publishers.  (536 pages).  ISBN 978-1-304-71517-3

Book Chapters

  • Bhat, C.  and M. J. Roorda (2013).  Workshop Synthesis: Methods for Capturing Multi-Horizon Choices.  In Transport Survey Methods: Best Practice for Decision Making. (Zmud, J., Lee-Gosselin, M., Munizaga, M.A., Carrasco, J.A. eds.) Emerald Group Publishing Ltd., Binkley, UK. pp. 471-478.
  • Cassas, J. and M. J. Roorda (2013).  Workshop Synthesis: Alternative Approaches to Freight Surveys.  In Transport Survey Methods: Best Practice for Decision Making. (Zmud, J., Lee-Gosselin, M., Munizaga, M.A., Carrasco, J.A. eds.) Emerald Group Publishing Ltd., Binkley, UK. pp. 279-286.
  • Roorda, M.J. Ferdous, N. and A. Nuzzolo (2012). Behavioral Paradigms for Modelling Freight Travel Decision-making. InTravel Behaviour research in an Evolving World. (Pendyala, R. and C. Bhat, eds.) pp. 351-356.
  • Roorda, M.J., A.H. Meyburg, M. Browne (2009). Surveys on Urban Freight Transport. Transport Survey Methods: Keeping Up with a Changing World. (Bonnel, P, M. Lee-Gosselin, J. Zmud and J-L Madre eds.) Emerald, UK.
  • Roorda, M.J. and E.J. Miller (2005). Strategies for Resolving Activity Scheduling Conflicts: An Empirical Analysis. In Progress in Activity-Based Analysis. (Timmermans, H. J. P. ed.). Elsevier, Oxford, pp. 203-222.
  • Roorda, M.J. S.T. Doherty and E.J. Miller (2005). Operationalizing Household Activity Scheduling Models: Addressing Assumptions and Using New Sources of Behavioural Data. In Integrated Land-Use and Transportation Models: Behavioural Foundations. (Lee-Gosselin, M. and S. Doherty, eds.) Elsevier, Oxford, pp. 61-85.