Transportation data

Objective O6

By 2025, increase to 90% the proportion of sustainable commuting trips from a 2016 baseline of 85%

Progress: Completed

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Description: The majority of trips to campus are by walking, cycling, transit, carpooling, and teleworking, however there is a large gap between student and employee travel.

Employee commuting patterns have not shifted significantly since the beginning of the measurement, though continued changes to the local transit system and improved walking/cycling infrastructure will help.

2020 saw tremendous shifts to a remote working and learning environment, which predictably altered all travel patterns. Waterloo has exceeded its modal shift target as a result of the remote work changes, but this is expected to be temporary.

Objective O7

By 2020, increase electric and alternative-fuel vehicle use on campus

Progress: Complete

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Description: Waterloo launched electric vehicle charging stations on East Campus in 2018, which have been highly utilized.

While the number of electric vehicles used in commuting remains small, they have more than doubled in the past four years.

Objective O8

By 2025, reduce fossil fuel consumption across the campus fleet by 25% from a 2015 baseline

Progress: Completed

100% full pie chart - complete

Description: Waterloo does not currently have a cohesive fleet management approach to reduce fuel consumption or increase efficiency. However, the replacement of aging vehicles with more fuel-efficient models has helped bring down some fuel consumption, and several vehicles have rolled over to hybrid models and a new electric vehicle. Targeted replacement of appropriate vehicles to right-sized or electric models at their end of life must be made to continue this momentum and enable Waterloo to reach its objective.

The significant drop in fuel consumption in 2020 was largely pandemic-related, and is expected to rebound as activity resumes on campus.

Methodology-fleet

Boundary

All University campuses, excluding Affiliated and Federated Institutions of Waterloo.

Methodology

Data comes from fuel purchasing records maintained by Plant Operations for the on-campus fueling station and is the primary source of fuel for the University fleet. This is used for on-road vehicles, as well as yard equipment such as mowers, leaf blowers, and other handheld equipment.

This metric excludes fuel used in rental vehicles, and purchased by individual employees through travel expense claims.

Enable JavaScript to view data visualisation.

An accessible version of this data can be downloaded here: Commuting Modal Split 2025 (Excel)

Methodology

Boundary

All University of Waterloo campuses. Excludes Affiliated and Federated Institutions of Waterloo.

Methodology

Limitations and Exclusions: 2012 through 2016 data collection focused on employees only. Student data was collected through the 2018 Travel Survey.

Data collection: Surveys were hosted through the TravelWise program and promoted to all employees and students in the fall to avoid biasing summer or winter weather conditions. Employees and students were asked to select their primary mode of transportation, as well as describe the mode of transportation used while commuting to the University over the past week. The survey also asked participants to indicate the type of vehicle they drove, distance driven, and what factors influenced their decisions to take particular forms of travel to campus. Additional demographic identifiers, such as student/staff/faculty, age range, gender, and full/part-time status were also collected. Surveys are conducted on a bi-annual basis.

Calculations: The mode split for each user type (student and employee) was calculated by summing the trips recorded over the past week. Waterloo also calculated the mode split based on the primary mode of travel (that which is used most often), and the primary mode of travel seasonally adjusted. In aggregate, the seasonally adjusted primary mode was 3% higher for driving and cycling, and slightly lower for walking, teleworking, and transit. Since the results were very similar and within the survey’s margin of error, Waterloo utilizes here the trips over path week methodology, in order to be comparable with other companies and organizations locally completing the TravelWise survey.

To calculate the combined employee and student mode split, Waterloo extrapolated the survey results proportionally within each respondent group (undergraduate, graduate, faculty, and staff) relative to the overall campus population. This increased the mode split considerably due to the larger number of students on campus.
The overall mode split was compared to information from Parking Services on average parking lot utilization rates throughout the year. While these will only link to the drive-alone and potentially carpooling modes, there is a comparable average lot utilization rate to the reported drive-alone activity within the survey, which helps reinforce survey findings.

Enable JavaScript to view data visualisation.

An accessible version of this data can be downloaded here: Fleet Fuel Consumption 2025 (Excel)

Methodology

Boundary

All University of Waterloo campuses. Excludes Affiliated and Federated Institutions of Waterloo.

Methodology

Limitations and Exclusions: 2012 through 2016 data collection focused on employees only. Student data was collected through the 2018 Travel Survey.

Data collection: Surveys were hosted through the TravelWise program and promoted to all employees and students in the fall to avoid biasing summer or winter weather conditions. Employees and students were asked to select their primary mode of transportation, as well as describe the mode of transportation used while commuting to the University over the past week. The survey also asked participants to indicate the type of vehicle they drove, distance driven, and what factors influenced their decisions to take particular forms of travel to campus. Additional demographic identifiers, such as student/staff/faculty, age range, gender, and full/part-time status were also collected. Surveys are conducted on a bi-annual basis.

Calculations: The mode split for each user type (student and employee) was calculated by summing the trips recorded over the past week. Waterloo also calculated the mode split based on the primary mode of travel (that which is used most often), and the primary mode of travel seasonally adjusted. In aggregate, the seasonally adjusted primary mode was 3% higher for driving and cycling, and slightly lower for walking, teleworking, and transit. Since the results were very similar and within the survey’s margin of error, Waterloo utilizes here the trips over path week methodology, in order to be comparable with other companies and organizations locally completing the TravelWise survey.

To calculate the combined employee and student mode split, Waterloo extrapolated the survey results proportionally within each respondent group (undergraduate, graduate, faculty, and staff) relative to the overall campus population. This increased the mode split considerably due to the larger number of students on campus.
The overall mode split was compared to information from Parking Services on average parking lot utilization rates throughout the year. While these will only link to the drive-alone and potentially carpooling modes, there is a comparable average lot utilization rate to the reported drive-alone activity within the survey, which helps reinforce survey findings.

Actions and accomplishments

2024/2025

Historic actions and accomplishments

Actions from various departments and teams at Waterloo to advance this objective have included, but are not limited to:

2023/2024

  • Hired a Sustainable Transportation Specialist and initiated development of Waterloo’s first Sustainable Transportation Plan

2022/2023

  • In June, Waterloo joined the region-wide Neuron e-bike and e-scooter share
    pilot, supporting sustainable transportation options between the campus and
    broader community.

2021/2022

  • Hosted the annual Bike Fair, engaging over 250 campus community members on active and sustainable transportation programs and resources
  • Piloted telematics sensors on 15 fleet vehicles to determine their suitability to be replaced with an electric model over time
  • Launched a new internal subsidy for purchasing EVs within the campus fleet
  • Continued to electrify the fleet with a Chevy Bolt and two new Ford eTransit delivery vans

2020/2021

  • After receiving a grant from NRCAN's ZEVIP program, Waterloo initiated the installation of 15 additional electric vehicle charging stations, to support both commuting, visitor, and fleet charging
  • Completed construction on and opened for use the secure bike cage between EV3 and ML
  • Hosted virtual Bike Month programming to encourage active and sustainable transportation at home
  • Purchased the campus' first fully electric vehicle
  • Initiated a telematics pilot over 30 vehicles to identify feasibility for electrification as well as opportunity for driver education around anti-idling and safety

2019/2020

  • Most students and employees pivoted to remote working given pandemic restrictions

2018/2019

  • Official launch of ION light rail transit, with stations in the R&T Park, Waterloo main campus, Waterloo Park, and next to the School of Pharmacy
  • Began pilot of electric scooters with Lime on South Campus and along the Laurel Trail
  • Piloted Dropbike in collaboration with City and Region of Waterloo
  • Purchased 10 additional bike racks for outside buildings
  • Launched new fix-it stations at all residence buildings

2017/2018

  • An EB402 capstone project team conducted a research project to further analyze employee commuting data prior to the launch of ION
  • Piloted the Community Access BikeShare program with 15 bikes at three stations
  • Three electric vehicle charging stations were launched next to Engineering 6, including one level 3 electric vehicle charging station, and two level 2 stations
  • Hosted multiple Electric Vehicle showcase days on campus for students and staff to view EVs
  • Purchased the campus’ first hybrid vehicle