Overall Rating Silver - expired
Overall Score 53.65
Liaison Melissa Cadwell
Submission Date June 15, 2018
Executive Letter Download

STARS v2.1

Syracuse University
OP-17: Employee Commute Modal Split

Status Score Responsible Party
Complete 0.72 / 2.00 Melissa Cadwell
Sustainability Coordinator
Energy Systems & Sustainability Management
"---" 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:
36

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:

Calculating Faculty Travel Mileage

1) Base Faculty/Staff data
• Filter Faculty/Staff that have the same EMPLID and Same City (removing duplicates)
• Calculate distance from “home” to campus
• Join (left join) Parking Pass data provided by Parking Services

2) Separate Faculty/Staff we KNOW ARE driving
• Filter to Faculty/Staff that have “Parking Pass”
• If a Faculty/Staff member doesn’t have a distance from home to campus, or if that distance is greater than 100 miles, assign them a Commuting Distance of 7
o We’re assuming Faculty/Staff are not commuting >100 miles multiple times a week
• Establish a Commuting number for each Faculty/Staff member
o Faculty and Full Time – 4
o Faculty and Part Time – 2
o Staff and Full Time – 5
o Staff and Part Time – 3
• Calculate One Way Miles Per Week by multiplying Commuting Distance by Commuting Number

3) Sort Faculty/Staff whose commuting method we’re unsure of
• Filter to Faculty/Staff that have “Parking Pass”
• Regardless of Distance from campus, sort Faculty/Staff into these buckets
o 36% Walk to work
o 32% take the bus to work
o 34% Drive to work
• Based on the above, calculate a new Commuting Distance for them as follows
o Walk – 1mile
o Bus – 3miles
o Driving – 8 Miles
• Establish a Commuting number for each Faculty/Staff member
o Faculty and Full Time – 4
o Faculty and Part Time – 2
o Staff and Full Time – 5
o Staff and Part Time – 3
• Calculate One Way Miles Per Week by multiplying Commuting Distance by Commuting Number

4) Combine the “Driving” and “Non Driving” Faculty/Staff data frames
• If the employee is faculty assume they commute for 32 weeks a year
o If the employee is staff, they commute for 52 weeks a year
• Calculate “One Way Yearly Commute” by multiplying one way weekly miles by Fac/Staff Weeks
o Driving – 8,120,796
o Bus – 232,740
o Walking – 89,032

5) Calculate Holiday commuting for Faculty/Staff
• Use original unduplicated Faculty/Staff data frame
• Filter to all faculty/staff who commute more than 100 miles (this number can be changed)
• Calculate “To School” miles as miles (distance from home)
• Calculate Thanksgiving miles as 2 x miles (distance from home)
• Calculate Christmas miles as 2 x miles (distance from home)
• Calculate Spring break miles as 2 x miles (distance from home)
• Calculate “From School” miles as miles (distance from home)
o 3,146,824 miles traveled for Holidays and Breaks

6) Calculate all staff miles
• Join (left join) Commuting and Holiday Travel data frames
• Calculate total miles per year per faculty/staff member
o Total Miles Traveled – 11,390,944


The percentage of the institution's employees that use each of the following modes as their primary means of transportation to and from campus::
Percentage (0-100)
Commute with only the driver in the vehicle (excluding motorcycles and scooters) 33
Walk, bicycle, or use other non-motorized means 35
Vanpool or carpool 1
Take a campus shuttle or public transportation 31
Use a motorcycle, scooter or moped 0
Telecommute for 50 percent or more of their regular work hours 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:
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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.