The movement of goods through freight transportation accounts for approximately 6% of total Greenhouse Gas (GHG) emissions worldwide and 10% of Canada’s emissions, yet the freight sector is rarely targeted by GHG abatement research and policy. To address this gap, I use a technology adoption model (CIMS-Freight) to explore the effectiveness of policies in achieving GHG reductions in land freight (trucking and rail), and to determine scenarios that achieve Canada’s ambitious GHG reduction targets (i.e. 80% by 2050 relative to 2005 levels). To account for uncertainty in model parameters, I incorporate a Monte Carlo Analysis in which I run 1000 iterations of each simulation. My modeling results indicate that current policies (i.e. fuel efficiency standards as well as the federally proposed carbon price and low-carbon fuel standard) will not achieve 2030 and 2050 GHG reduction targets – where freight emissions will continue to rise, albeit at a lower rate than a “no policy” scenario. I also simulate the effectiveness of several individual policies: fuel efficiency standards, a carbon tax, low-carbon fuel standard (LCFS), a zero-emissions vehicle (ZEV) mandate for truck and purchase subsidy. Even at their most stringent levels, no individual policy has a high probability (at least 67% of Monte Carlo iterations) of achieving 2030 or 2050 GHG reduction targets. Finally, I find that several policy combinations can have a high probability of achieving 2050 goals, in particular a stringent ZEV mandate for trucks complemented by a stringent LCFS. While other effective policies and policy combinations are possible, it is clear that Canada’s present and proposed policies are not nearly stringent enough to reach its ambitious emissions reductions targets.
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