| Overall Rating | Gold |
|---|---|
| Overall Score | 78.11 |
| Liaison | Kristin Larson |
| Submission Date | Oct. 23, 2023 |
San Diego State University
OP-16: Commute Modal Split
| Status | Score | Responsible Party |
|---|---|---|
|
2.42 / 5.00 |
Risto
Beatty Decarbonization Program Manager Ackerstein Sustainability |
"---"
indicates that no data was submitted for this field
Total full-time equivalent student enrollment:
32,304
Full-time equivalent of employees:
4,103
Part 1. Student commute modal split
Yes
Total percentage of students that use more sustainable commuting options as their primary mode of transportation:
52
A brief description of the method(s) used to gather data about student commuting:
A comprehensive inventory of all faculty, staff, and student transportation habits was conducted using SIMAP for our 2023 revision of the Climate Action Plan. The data uploaded is from the 2022 Fiscal Year.
Part 2. Employee commute modal split
Yes
Total percentage of employees that use more sustainable commuting options as their primary mode of transportation:
19.50
A brief description of the method(s) used to gather data about employee commuting:
A comprehensive inventory of all faculty, staff, and student transportation habits was conducted using SIMAP for our 2023 revision of the Climate Action Plan. The data uploaded is from the 2022 Fiscal Year.
Optional Fields
| Percentage of students (0-100) | Percentage of employees (0-100) | |
| Single-occupancy vehicle | 49 | 82 |
| Zero-emissions vehicle | --- | 1.95 |
| Walk, cycle, or other non-motorized mode | 32 | 5 |
| Vanpool or carpool | 8 | 5 |
| Public transport or campus shuttle | 12 | 8 |
| Motorcycle, motorized scooter/bike, or moped | --- | --- |
| 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:
Many people drive zero-emissions vehicles, but our numbers are not accurate as it is a manual process for EV drivers to log in and indicate whether they have an EV vehicle or not. This data is based on the vehicles in the system.
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.