4.8 Article

Greenhouse Gas Emission Mitigation Pathways for Urban Passenger Land Transport under Ambitious Climate Targets

Journal

ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 55, Issue 12, Pages 8236-8246

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.0c06671

Keywords

life cycle assessment; climate change; city; passenger transport; electric vehicle; public transit; active mobility

Funding

  1. NUS [R-302-000-236-114]
  2. UofT Faculty of Applied Science and Engineering Dean's Strategic Fund
  3. UofT's International Doctoral Cluster of the Office of the Vice-President International

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The CURTAIL model outlines mitigation pathways for urban passenger land transport to meet ambitious climate targets, emphasizing the need for strong commitments from the transport and electricity sectors. Focusing on multiple mitigation strategies is essential to achieve the 1.5 degrees C global warming target.
Urban passenger land transport is an important source of greenhouse gas (GHG) emissions globally, but it is challenging to mitigate these emissions as this sector interacts with many other economic sectors. We develop the Climate change constrained Urban passenger Transport Integrated Life cycle assessment (CURTAIL) model to outline mitigation pathways of urban passenger land transport that are consistent with ambitious climate targets. CURTAIL uses the transport activity of exogenously defined modal shares to simulate the associated annual vehicle stocks, sales, and life cycle GHG emissions. It estimates GHG emission budgets that are consistent with global warming below 2 and 1.5 degrees C above preindustrial levels and seeks mitigation strategies to remain within the budgets. We apply it to a case study of Singapore, a city-state. Meeting a 1.5 degrees C target requires strong commitments in the transport and electricity sectors, such as reducing the motorized passenger activity, accelerating the deployment of public transit and of electrification, and decarbonizing the power generation system. Focusing on one mitigation technology or one mode of transport alone will not be sufficient to meet the target. Our novel model could be applied to any city to provide insights relevant to the design of urban climate change mitigation targets and policies.

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