| 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-16: Student Commute Modal Split
| Status | Score | Responsible Party |
|---|---|---|
|
1.54 / 2.00 |
Melanie
Valencia Sustainability Officer Innovation and Sustainability Office |
"---"
indicates that no data was submitted for this field
Total percentage of students (graduate and undergraduate) that use more sustainable commuting options as their primary means of transportation:
77
A brief description of the method(s) used to gather data about student 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 3636 students, 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 students 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). 77% use other methods for transport rather than driving alone (23% of the population).
Optional Fields
| Percentage (0-100) | |
| Commute with only the driver in the vehicle (excluding motorcycles and scooters) | 23 |
| Walk, bicycle, or use other non-motorized means | 8 |
| Vanpool or carpool | 26 |
| Take a campus shuttle or public transportation | 43 |
| Use a motorcycle, scooter or moped | 0 |
The website URL where information about the programs or initiatives is available:
Additional documentation to support the submission:
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Data source(s) and notes about the submission:
Here is the survey developed to understand the mobility of 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.