Welcome to the Waterloo Public Transportation Initiative

Transportation systems are critical to the function of cities. Effective transportation infrastructure and operations promote the three pillars of sustainability: strong economies, vibrant social and cultural opportunities, with minimal negative impacts.

The Waterloo Public Transportation Initiative (WPTI) is a research group formed between the School of Planning and the Department of Civil and Environmental Engineering at the University of Waterloo. The group seeks to advance sustainable transportation by engaging in meaningful and impactful research in Canada, North America and internationally.

The primary focus of research conducted in WPTI is to promote and achieve “balanced transportation” – conditions where travel is possible as pedestrians, cyclists, transit riders and auto users. These kinds of systems are achieved through planning and policy, design and operations, and finally economic instruments. The research team in WPTI engages in scholarship in these core areas.

To date, more than 30 graduate students have completed research degrees in WPTI and are now positively impacting cities and their transportation systems around the world.

  1. Feb. 1, 2017Waterloo returns from WashingtonTransit passes for Washington, DC

    Thanks to funding from the University of Waterloo, the Waterloo Public Transportation Initiative (WPTI) recently returned from Washington D.C. after attending the Transportation Research Board’s (TRB) 96th Annual Meeting.

  2. Dec. 14, 2016WPTI prepares for TRB Annual Meeting 2017

    In the new year, the Waterloo Public Transportation Initiative (WPTI) will be attending the Transportation Research Board's (TRB) 96th Annual Meeting in Washington D.C. WPTI will be associated with three presentations at the conference: 

  3. Nov. 30, 2016You-Jin Jung successfully defends PhD thesisYou-Jin and her committee after her defence

    On November 18, You-Jin Jung successfully defended her PhD thesis in civil engineering, entitled "Enhanced Transit Ridership Forecasting Using Automatic Passenger Counting Data."

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