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2024 Public Transit Short Courses

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High quality public transit is the linchpin of liveable cities. Not only does it enhance mobility, accessibility, economic productivity, and help address climate change, but the COVID pandemic also illustrated its critical role in public health and ensuring the mobility of essential workers. Transit has always faced challenges in our auto-dominant society, but now faces an environment that is increasingly uncertain and turbulent. The last few years have highlighted the strategic importance of data, sophisticated analytics, and advanced technology such as Intelligent Transportation Systems (ITS), that enabled transit systems to respond more nimbly to the dynamic situation and the changing needs of customers. These tools are playing an increasingly critical role in the planning and operations of public transit, and need to be fully integrated into internal business processes.

The Transit Analytics Lab at the University of Toronto Mobility Network is offering two back-to-back courses designed to provide participants with knowledge on key concepts and best practices related to public transit service planning and technology. The first course, Public Transit Planning and ITS, provides an overview of key concepts and best practices related to transit planning, network and service design, service standards, transit and land use, and the application of ITS technologies. The second course, Public Transit Modelling, provides a complementary but more focused and advanced exploration of tools that can be used for forecasting demand at both the system and route levels, transit assignment, and microsimulation-based analysis. The courses will be taught by leading transit planning researchers and practitioners and will provide a balanced perspective on transit systems planning and ITS, including both state-of-the-art techniques and practical perspectives.

Who Should Attend?
The two short courses are designed for practicing public transit professionals or those involved in the transportation and planning industry who have an interest in public transit planning and ITS. If you are new to the field and wish to have some formal exposure to the fundamentals, or if you have been practicing for some time and wish to undertake a refresher and be exposed to recent state-of-the-art developments, then these short courses could form part of your professional development program.

It is expected that those involved in planning, designing and operating transit services at various levels of government will find value in the two courses. Consultants involved in traffic and public transit planning and ITS will also find the courses useful and relevant. Members of the general public with an interest in public transit are also invited to attend.

Course Organization
The two short courses are organized by the Transit Analytics Lab at the University of Toronto Mobility Network. The Mobility Network brings together experts from engineering, economics, policy, urban geography and planning and computer science. The network and its members are internationally renowned for high quality research in transportation from the perspectives of engineering, science and humanities.

Short Course Leaders
Dr. Hossam Abdelgawad has 18 years of experience in developing simulation models using a wide range of traffic software/ tools. He has ample experience in building models using AIMSUN, Paramics, UAF, Vissim, DynusT, HCS, Synchro, SimTraffic, EMME and Dynameq.

Brendon Hemily, PhD, is an independent consultant with 40 years of experience working with the transit industry in Canada and the US, and he serves as Senior Advisor for the Transit Analytics Lab. He has been involved in a wide range of projects related to the implementation of innovative service concepts and the effective use of advanced technology. Previously, he was Manager of Research and Technical Services at the Canadian Urban Transit Association where he worked for 15 years.

Professor Eric Miller is the director of the Mobility Network and a recognized expert in integrated land use transportation modelling and demand forecasting. He is the developer of GTAModel, a “best practice” regional travel demand modelling system used widely to forecast travel demand in the Greater Toronto Area. He is co-author of the textbook Urban Transportation Planning: A Decision-Oriented Approach.

Amer Shalaby is Bahen-Tanenbaum Professor in Civil Engineering and Founding Director of the Transit Analytics Lab at the University of Toronto, with 30 years of research and consulting experience in Canada and internationally in the areas of transit planning and intelligent transportation systems. His research has been published widely in peer-reviewed journals and international conference proceedings. He has served on various transit committees of the Transportation Research Board, and he sits on the editorial boards of multiple scientific journals.

Nigel Wilson is Emeritus Professor of Civil and Environmental Engineering at MIT focusing on urban public transport. He is Founding Director of the MIT Transit Lab, a major longterm collaborative research program with leading global public transport agencies including Transport for London (UK), MTR (Hong Kong) and the MBTA (US) which focuses on making better use of smart card and other automatically collected data to support decision-making throughout the agency. During sabbatical leaves from MIT, Professor Wilson worked in three large transit agencies, the MBTA, Metro Transit and TfL, and has served as consultant to a number of other North American transit authorities. He taught a short course in transit planning at MIT for twenty years which had a cumulative enrollment of over 400 transit professionals.

Fees Acknowledgment
All amounts are in Canadian dollars. Registration covers attendance, course notes, lunches, coffee breaks and course completion certificate. Accommodation costs are not included in the registration fee. Upon receipt of your completed online registration form and payment, your registration will be acknowledged by email.

Register and pay online
Please complete two steps to register and pay for courses:

Complete this registration form in full, and submit.

After you submit your registration form, you will be re-directed to choose your course option and follow a link to a secure electronic payment site.

Location
Galbraith Building, Room GB202, 35 St. George Street.

Questions?
For inquiries about the course, please E-mail: tal@utoronto.ca

Details

Start:
August 13
End:
August 15

Organizers

Mobility Network
Transit Analytics Lab

Venue

Galbraith Building, Room GB202
35 St. George Street 2nd floor
Toronto, Ontario M5S 1A4 Canada
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