The University of Toronto Transportation Research Institute offers two back-to-back courses designed to provide participants with knowledge of key concepts and best practices related to public transit service planning and technology.
The first course, Public Transit Planning & ITS (August 21-22), 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 (August 23), 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.
Course descriptions, schedules and registration instructions:
- Public Transit Planning and ITS (August 21-22, 2019) PTSC101-A
- Public Transit Modelling (August 23, 2019) PTSC101-B
- Click here for Public Transit Short Courses 2019 brochure
Email for more information or telephone (416) 978-4175.
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Join us for Yang (Luna) Xi’s MASc thesis presentation, “Logit-based accessibility measures: A destination-mode choice model for morning-peak commuting in the GTHA.” All are welcome.
Accessibility has been a popular indicator for measuring system performance and policy effects in the transportation planning field, however, the measurement of the accessibility itself remains controversial.
This study proposes utility-based accessibility measures to evaluate the morning-peak access to workplaces in the GTHA by building a nested destination-mode choice model. Eight sets of parameters are estimated for full-time and part-time employees with an occupation type of General, Manufacturing, Professional, or Sales.
The workplace accessibility results indicate a significant difference between the employees with different occupation types as well as between full-time and part-time employees. Spatial variation is further examined, and distinctive patterns of workplace accessibility are observed for the employees in different occupation groups and employment statuses.
The contribution of this study is the proposal of occupation-specific workplace accessibility measures, which allows to evaluate equity and identify gaps within each group as well as across the groups.
Yang (Luna) Xi is a University of Toronto MASc candidate, supervised by Professor Eric J. Miller.