| Overall Rating | Silver - expired |
|---|---|
| Overall Score | 50.94 |
| Liaison | Corey Peterson |
| Submission Date | July 15, 2020 |
University of Tasmania
OP-16: Commute Modal Split
| Status | Score | Responsible Party |
|---|---|---|
|
3.41 / 5.00 |
Sustainability
Team UTAS Infrastructure Services and Development |
"---"
indicates that no data was submitted for this field
Total full-time equivalent student enrollment:
16,720.95
Full-time equivalent of employees:
2,892.40
Part 1. Student commute modal split
Yes
Total percentage of students that use more sustainable commuting options as their primary mode of transportation:
71.20
A brief description of the method(s) used to gather data about student commuting:
The University of Tasmania Travel Behaviour Survey (TBS) is a biennial online survey open for 2 weeks in March/April. Data in this STARS report is taken from the 2017 survey. Students are asked to reflect on their travel behaviour from the previous week for commuting, inter-campus travel, parking, transport services and infrastructure used (including virtual transport). Demographic questions are also asked to provide further participant context.
Participation and statistical confidence for the 2017 TBS is as follows:
- Responses (sample size): 1976
- Confidence level: 95%
- Margin of error (+/- percentage points): +/- 2.1
Participation and statistical confidence for the 2017 TBS is as follows:
- Responses (sample size): 1976
- Confidence level: 95%
- Margin of error (+/- percentage points): +/- 2.1
Part 2. Employee commute modal split
Yes
Total percentage of employees that use more sustainable commuting options as their primary mode of transportation:
50.40
A brief description of the method(s) used to gather data about employee commuting:
The University of Tasmania Travel Behaviour Survey (TBS) is a biennial online survey open for 2 weeks in March/April. Data in this report is taken from the 2017 survey. Staff members are asked to reflect on their travel behaviour from the previous week for commuting, inter-campus travel, parking, transport services and infrastructure used (including virtual transport). Demographic questions are also asked to provide further participant context.
Participation and statistical confidence for the 2017 TBS is as follows:
- Responses (sample size): 695
- Confidence level: 90%
- Margin of error (+/- percentage points): +/- 2.9
Participation and statistical confidence for the 2017 TBS is as follows:
- Responses (sample size): 695
- Confidence level: 90%
- Margin of error (+/- percentage points): +/- 2.9
Optional Fields
| Percentage of students (0-100) | Percentage of employees (0-100) | |
| Single-occupancy vehicle | 28.70 | 49.30 |
| Zero-emissions vehicle | 0.10 | 0 |
| Walk, cycle, or other non-motorized mode | 30.20 | 16.10 |
| Vanpool or carpool | 10.90 | 19.20 |
| Public transport or campus shuttle | 21.40 | 6.10 |
| Motorcycle, motorized scooter/bike, or moped | 0.80 | 1.50 |
| Distance education / telecommute | 7.20 | 7.60 |
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:
As explained in description of method(s)
Note that data is for 'Monday' and 'Home to work' travel only. This is the data that has been used in Travel Behaviour Survey reports and it's considered representative as more in depth data analysis of initial surveys showed little variation
Note that data is for 'Monday' and 'Home to work' travel only. This is the data that has been used in Travel Behaviour Survey reports and it's considered representative as more in depth data analysis of initial surveys showed little variation
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.