Overall Rating | Gold |
---|---|
Overall Score | 72.36 |
Liaison | Andrew D'Amico |
Submission Date | Nov. 13, 2024 |
Princeton University
OP-16: Commute Modal Split
Status | Score | Responsible Party |
---|---|---|
2.83 / 5.00 |
Andrew
D'Amico Assistant Director Office of Sustainability |
Total full-time equivalent student enrollment:
Full-time equivalent of employees:
Part 1. Student commute modal split
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:
Transportation and Parking Services issued a commuter survey to the entire campus community in October 2023. Survey purpose was to understand commute modes by day during a typical mid-semester week. 637 graduate students responded (24%). Data was extrapolated to account for on-campus and off-campus student housing split (36% students housed off-campus) and mode split derived from total number of non-SOV trips to total trips.
Part 2. Employee commute modal split
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:
Transportation and Parking Services issued a commuter survey to the entire campus community in October 2023. Survey purpose was to understand commute modes by day during a typical mid-semester week.
Optional Fields
Percentage of students (0-100) | Percentage of employees (0-100) | |
Single-occupancy vehicle | 28 | 72 |
Zero-emissions vehicle | 1 | 5 |
Walk, cycle, or other non-motorized mode | 34 | 14 |
Vanpool or carpool | 3 | 6 |
Public transport or campus shuttle | 41 | 6 |
Motorcycle, motorized scooter/bike, or moped | 1 | 1 |
Distance education / telecommute | 0 | 0 |
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:
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.