Cities need greenhouse gas (GHG) emissions inventories to monitor the evolution of their emissions and progress toward reduction targets. Existing inventories for the City of Montréal, published annually, provide a single yearly emissions value without spatial-temporal resolution, limiting the identification of parameters that influence emissions. The Carbon Map project, led by the Canada Research Chair in Measuring the Impact of Human Activities on Climate Change, addresses this issue by aiming to inventory the City of Montréal’s emissions at high spatial-temporal resolution across all activity sectors. Available online in the form of a digital map, its goal is to serve both as an awareness-raising tool for the public and a decision-support tool. The purpose of this master’s thesis is to provide a method for quantifying road transport GHG emissions at a high spatial-temporal resolution for the Carbon Map. The study focuses on the borough of Saint-Laurent. The methodology combines a traffic model, traffic adjustment factors, vehicle fleet composition, fuel consumption data, and emission factors. This method makes it possible to quantify road transport GHG emissions at the road segment level and to track their evolution throughout the year with hourly and daily temporal resolution. The analysis highlights the importance of developing adjustment factors specific to road types, vehicle types, and time variables such as hour, day, and month. Further research is needed to include parameters such as vehicle speed in emission calculations.
| Date | 17 Jul 2025 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Annie Levasseur (Supervisor) & Catherine Morency (Co-supervisor) |
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Eck, A. (Author),
Levasseur (Supervisor) & Morency (Co-supervisor),
17 Jul 2025Student thesis: Master's thesis › Master in Engineering: Environmental Engineering