| Overall Rating | Silver |
|---|---|
| Overall Score | 50.16 |
| Liaison | Dr. Jill Wicknick |
| Submission Date | Jan. 7, 2023 |
University of Montevallo
OP-16: Commute Modal Split
| Status | Score | Responsible Party |
|---|---|---|
|
0.51 / 5.00 |
Susan
Caplow Assistant Professor of Environmental Studies Behavioral and Social Sciences |
"---"
indicates that no data was submitted for this field
Total full-time equivalent student enrollment:
2,313
Full-time equivalent of employees:
504
Part 1. Student commute modal split
Yes
Total percentage of students that use more sustainable commuting options as their primary mode of transportation:
10.10
A brief description of the method(s) used to gather data about student commuting:
We conducted a campus survey in December of 2017 asking students and employees about their commuting habits.
Part 2. Employee commute modal split
Yes
Total percentage of employees that use more sustainable commuting options as their primary mode of transportation:
10.60
A brief description of the method(s) used to gather data about employee commuting:
We conducted a campus survey in December of 2017 asking students and employees about their commuting habits.
Optional Fields
| Percentage of students (0-100) | Percentage of employees (0-100) | |
| Single-occupancy vehicle | 89.90 | 88.60 |
| Zero-emissions vehicle | --- | --- |
| Walk, cycle, or other non-motorized mode | 8.40 | 6.50 |
| Vanpool or carpool | 1.70 | 3.30 |
| Public transport or campus shuttle | 0 | 0 |
| Motorcycle, motorized scooter/bike, or moped | 0 | 0.80 |
| Distance education / telecommute | --- | --- |
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:
This data is from a previous STARS submission (collected in 2017), but I am leaving it here because we have no reason to believe that the numbers have changed significantly since then. Because of COVID, we were not able to implement this survey during the last three years, but next time we plan to collect new data.
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.