|Submission Date||May 31, 2016|
|1.80 / 2.00||
Sustainable Development Advisor
Sustainable Development Office
Polytechnique's student and employee commute modal splits were calculated buy using data generated through the 10th Origin-Destination survey of the Agence Métropolitaine des Transports (AMT, Metropolitan Transport Authority) of Montreal. This survey was conducted from September 4th to December 21th, 2013. It surveyed 188700 persons, composing more than 78800 households of the Montreal region. This sample was generated randomly from the list of subscribers to a residential phone service. This Origin-Destination survey is used as a reference by various public bodies that need data on transportation habits in the Montreal region. Researchers from Polytechnique's Chaire Mobilité (Mobility research chair) consider that this survey was conducted using the best practices available in this field.
As they are partners of the AMT, researchers from Polytechnique's Chaire Mobilité have access to the data generated by the survey, which contains more than 800 respondents from the Polytechnique community (students and employees). The data entered in the STARS reporting tool were thus calculated from this sample. As it was randomly generated and comprises a number of respondents that represents more than 10% of the number of full-time occupants of Polytechnique (7330 full-time occupants in 2013-2014), this sample is considered highly representative of the population.
A description of the methodology and results of the Origin-Destination survey that generated our data is available at:
|Commute with only the driver in the vehicle (excluding motorcycles and scooters)||9.99|
|Walk, bicycle, or use other non-motorized means||10.48|
|Vanpool or carpool||13.08|
|Take a campus shuttle or public transportation||66.45|
|Use a motorcycle, scooter or moped||---|
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 and complete the Data Inquiry Form.