| Overall Rating | Silver - expired |
|---|---|
| Overall Score | 57.59 |
| Liaison | Maria Ayala |
| Submission Date | Dec. 26, 2018 |
| Executive Letter | Download |
Universidad San Francisco de Quito - USFQ
OP-17: Employee Commute Modal Split
| Status | Score | Responsible Party |
|---|---|---|
|
1.02 / 2.00 |
Melanie
Valencia Sustainability Officer Innovation and Sustainability Office |
"---"
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:
51
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:
The mobility survey was answered by 406 staff, representing 40% of the student population and giving a margin of error of 1.11%. The survey was designed to assess the location from which staff commute (using google maps), their method of transportation, their time travel and overall patterns such as going back home directly on a regular basis, using carpooling platforms such as autocompartido and shifting methods of transportation as a result of pico y placa (a governmental restriction on peak hours for specific license plates on each day of the week). The survey was mandatory online for 3 weeks on the main site of the university, to access email, d2l and other services. Here is a link to the survey http://evaluaciones.usfq.edu.ec/events/usfq/auto/
Optional Fields
| Percentage (0-100) | |
| Commute with only the driver in the vehicle (excluding motorcycles and scooters) | 49 |
| Walk, bicycle, or use other non-motorized means | 5.50 |
| Vanpool or carpool | 27 |
| Take a campus shuttle or public transportation | 17 |
| Use a motorcycle, scooter or moped | 1 |
| Telecommute for 50 percent or more of their regular work hours | 0.50 |
The website URL where information about the programs or initiatives is available:
Additional documentation to support the submission:
---
Data source(s) and notes about the submission:
Same survey used with faculty and staff as was for students.
https://evaluaciones.usfq.edu.ec/events/usfq/auto/
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.