| Overall Rating | Gold - expired |
|---|---|
| Overall Score | 66.51 |
| Liaison | Aurora Sharrard |
| Submission Date | Feb. 28, 2021 |
University of Pittsburgh
OP-16: Commute Modal Split
| Status | Score | Responsible Party |
|---|---|---|
|
3.61 / 5.00 |
Aurora
Sharrard Executive Director of Sustainability Office of Sustainability |
Total full-time equivalent student enrollment:
Full-time equivalent of employees:
Has the institution gathered data about student commuting behavior?:
Total percentage of students that use more sustainable commuting options as their primary mode of transportation:
A brief description of the method(s) used to gather data about student commuting:
The University of Pittsburgh has been a strong partner and participant in delivery of the Make My Trip Count (MMTC) regional commuter survey in both 2015 and 2018. The 2018 survey was open in September and October 2018 to commuters across the Pittsburgh region.
Learn more about MMTC: https://www.makemytripcount.org/
Pitt had 2,566 responses to the MMTC 2018 survey (of 18,104 total responses) destined for the Pittsburgh campus. All MMTC respondents indicated their primary (secondary, and tertiary) mode of travel to and from campus. Only primary modes are reported here (i.e., no multi-modal trips or commuters making differing commuting decisions over the course of a week or year).
Though MMTC is not the only commuter survey data the University uses to estimate and engage with commuters, it is the data reported here because it is a standalone representative sample delivered in context with the entire Pittsburgh region.
In Fall 2018, there were 25,901 full-time undergraduate and graduate students attending the University of Pittsburgh. Thus, the 715 self-defining Pitt “students” responding to MMTC in 2018, represented 2.76% of students. This sample size provides us a 95% confidence level** and a 3.6% margin of error***.
According to Pitt’s MMTC 2018 survey responses, the mode split for the University of Pittsburgh main campus for students is as follows:
• Transit = 57.2% (includes Bus, Light Rail, & Shuttle)
• Active Transportation = 24.2% (includes walking, biking, & skateboards)
• Single Occupancy Vehicle = 15.4% (Drive alone + Uber, Lyft, & Taxi)
• Carpool & Vanpool = 2%
• Work from Home = 0.8%
Other University commuter data (Port Authority transit trips, parking permit records, student housing availability, Healthy Ride bike share utilization, etc.) have NOT been included in the data reported here because it would skew the responses. That data IS utilized for calculating our annual GHG inventory.
The Pittsburgh region’s entire MMTC 2018 survey results are at: http://www.makemytripcount.org
University of Pittsburgh 2019 Fact Book for Population References: https://pre2.ir.pitt.edu/wp-content/uploads/2020/07/Fact-Book-2019.pdf
The confidence level and margin of error were calculated using SurveyMonkey's Sample Size Calculator: https://www.surveymonkey.com/mp/sample-size-calculator
* Confidence Level: The probability our survey sample accurately reflects the behaviors of the entire population.
** Margin of Error: The range (measured as a percentage) that the total population's behaviors might deviate from our sample responses.
Has the institution gathered data about employee commuting behavior?:
Total percentage of employees that use more sustainable commuting options as their primary mode of transportation:
A brief description of the method(s) used to gather data about employee commuting:
The University of Pittsburgh has been a strong partner and participant in delivery of the Make My Trip Count (MMTC) regional commuter survey in both 2015 and 2018. The 2018 survey was open in September and October 2018 to commuters across the Pittsburgh region.
Learn more about MMTC: https://www.makemytripcount.org/
Pitt had 2,566 responses to the MMTC 2018 survey (of 18,104 total responses) destined for the Pittsburgh campus. All MMTC respondents indicated their primary (secondary, and tertiary) mode of travel to and from campus. Only primary modes are reported here (i.e., no multi-modal trips or commuters making differing commuting decisions over the course of a week or year).
Though MMTC is not the only commuter survey data the University uses to estimate and engage with commuters, it is the data reported here because it is a standalone representative sample delivered in context with the entire Pittsburgh region.
In Fall 2018, there were 12,202 full-time University of Pittsburgh faculty and staff. Thus, the 1,851 Pitt employees responding to MMTC in 2018, represented 15.2% of full-time employees. This sample size provides us a 99% confidence level** and a 2.75% margin of error***.
According to Pitt’s MMTC 2018 survey responses, the mode split for the University of Pittsburgh main campus for employees is as follows:
• Single Occupancy Vehicle = 53.4% (Drive alone + Uber, Lyft, & Taxi)
• Transit = 29.9% (includes Bus, Light Rail, and Shuttle)
• Active Transportation = 6.5% (includes walking and biking)
• Carpool & Vanpool = 8.4%
• Work from Home = 0.6%
The SOV commuter split in the 2018 MMTC Pitt employee data is higher than past commuter surveys.
Other University commuter data (Port Authority transit trips, parking permit records, student housing availability, Healthy Ride bike share utilization, etc.) have NOT been included in the data reported here because it would skew the responses. That data IS utilized for calculating our annual GHG inventory.
The Pittsburgh region’s entire MMTC 2018 survey results are at: http://www.makemytripcount.org
University of Pittsburgh 2019 Fact Book for Population References: https://pre2.ir.pitt.edu/wp-content/uploads/2020/07/Fact-Book-2019.pdf
The confidence level and margin of error were calculated using SurveyMonkey's Sample Size Calculator: https://www.surveymonkey.com/mp/sample-size-calculator
* Confidence Level: The probability our survey sample accurately reflects the behaviors of the entire population.
** Margin of Error: The range (measured as a percentage) that the total population's behaviors might deviate from our sample responses.
Percentage of students and employees that use the following as their primary mode of transportation:
| Percentage of students (0-100) | Percentage of employees (0-100) | |
| Single-occupancy vehicle | 15.40 | 53.40 |
| Zero-emissions vehicle | --- | --- |
| Walk, cycle, or other non-motorized mode | 24.20 | 6.50 |
| Vanpool or carpool | 2 | 8.40 |
| Public transport or campus shuttle | 57.20 | 29.90 |
| Motorcycle, motorized scooter/bike, or moped | 0.10 | 0.20 |
| Distance education / telecommute | 0.80 | 0.60 |
Website URL where information about student or employee commuting is available:
Additional documentation to support the submission:
Data source(s) and notes about the submission:
Student and Employee facing commuting information: https://www.pts.pitt.edu/commuting
Details about Pitt's bike share partnership with local nonprofit Healthy Ride (Students, faculty, and staff enjoy unlimited 30-minute rides to and from campus via bike at no cost to them): https://www.pts.pitt.edu/commuting/healthy-ride
Make My Trip Count Pittsburgh Region Commuter Survey: https://www.makemytripcount.org/
An additional (but older) source of Pitt commuting data is the 2019 DRAFT Institutional Master Plan online here (Mobility is addressed in Chapter 6 and uses the 2017 VHB Housing & Transportation Survey results, p. 298): https://www.campusplan.pitt.edu/imp
University of Pittsburgh 2019 Fact Book for Population References: https://pre2.ir.pitt.edu/wp-content/uploads/2020/07/Fact-Book-2019.pdf
Student and Employee facing commuting information: https://www.pts.pitt.edu/commuting
Details about Pitt's bike share partnership with local nonprofit Healthy Ride (Students, faculty, and staff enjoy unlimited 30-minute rides to and from campus via bike at no cost to them): https://www.pts.pitt.edu/commuting/healthy-ride
Make My Trip Count Pittsburgh Region Commuter Survey: https://www.makemytripcount.org/
An additional (but older) source of Pitt commuting data is the 2019 DRAFT Institutional Master Plan online here (Mobility is addressed in Chapter 6 and uses the 2017 VHB Housing & Transportation Survey results, p. 298): https://www.campusplan.pitt.edu/imp
University of Pittsburgh 2019 Fact Book for Population References: https://pre2.ir.pitt.edu/wp-content/uploads/2020/07/Fact-Book-2019.pdf
The information presented here is self-reported. While AASHE staff review portions of all STARS reports and institutions are welcome to seek additional forms of review, the data in STARS reports are not verified by AASHE. If you believe any of this information is erroneous or inconsistent with credit criteria, please review the process for inquiring about the information reported by an institution or simply email your inquiry to stars@aashe.org.