| Overall Rating | Bronze - expired |
|---|---|
| Overall Score | 44.43 |
| Liaison | John Stolz |
| Submission Date | March 4, 2020 |
| Executive Letter | Download |
Duquesne University
OP-17: Employee Commute Modal Split
| Status | Score | Responsible Party |
|---|---|---|
|
0.35 / 2.00 |
Carissa
Lange Graduate Assistant Center for Environmental Research & Education (CERE) |
"---"
indicates that no data was submitted for this field
Total percentage of the institution’s employees that use more sustainable commuting options as their primary method of transportation:
17.50
A brief description of the method(s) used to gather data about employee commuting, including the timeframe for when the analysis was conducted and how a representative sample was reached, if applicable:
An updated Parking, Traffic and Transportation Demand Management Strategies Technical Memorandum #2. Prepared by Trans Associates Engineering Consultants, Inc. for Duquesne University on December 10, 2018.
Optional Fields
| Percentage (0-100) | |
| Commute with only the driver in the vehicle (excluding motorcycles and scooters) | 82.50 |
| Walk, bicycle, or use other non-motorized means | 1.60 |
| Vanpool or carpool | 0.40 |
| Take a campus shuttle or public transportation | 13.50 |
| Use a motorcycle, scooter or moped | 1.80 |
| Telecommute for 50 percent or more of their regular work hours | 0.20 |
The website URL where information about the programs or initiatives is available:
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Additional documentation to support the submission:
Data source(s) and notes about the submission:
The "other" category in the Parking, Traffic and Transportation Demand Management Strategies report was used as data for the motorcycle, scooter or moped category above. Relevant information was found on page 20 of the document.
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.