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Electric Mobility Emission Reduction Policies: A Multi-Objective Optimization Assessment Approach

Author

Listed:
  • Anastasia Soukhov

    (School of Earth, Environment and Society, McMaster University, Hamilton, ON L8S 4L8, Canada)

  • Ahmed Foda

    (Department of Civil Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
    Department of Mathematics and Engineering Physics, Mansoura University, Mansoura 35516, Egypt)

  • Moataz Mohamed

    (Department of Civil Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada)

Abstract

The passenger transportation sector is notoriously sticky to decarbonize because it is interlinked with urban form, individual choice, and economic growth. As the urgency to respond to climate change increases and the transport sector disproportionally increases its contributions to global GHG emissions, there is a need for a more meaningful and transparent application of tools to cost GHG emission reduction. This study presents a multi-objective integer optimization (MIO) model to support the costing and GHG reduction estimation of electric mobility road passenger transportation policies. The model considers both cost and GHG emission minimization under resource constraints and background changes in policy interventions within interval ranges for the province of Ontario’s (Canada) in year 2030. All Pareto optimal solutions are included but results that indicate the optimal policy allocation for two discrete targets are discussed in detail; one scenario where $3 billion spending over ten years is the target and another scenario where the target is 40% GHG reduction in year 2030 (relative to 2005 levels). The MIO approach offers an out-of-the-box solution to support the GHG-reducing decision-making process at all levels of government by implementing optimal policy combinations to achieve GHG emission reductions under a target GHG emission reduction target and/or budget.

Suggested Citation

  • Anastasia Soukhov & Ahmed Foda & Moataz Mohamed, 2022. "Electric Mobility Emission Reduction Policies: A Multi-Objective Optimization Assessment Approach," Energies, MDPI, vol. 15(19), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:6905-:d:920608
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    1. Foda, Ahmed & Abdelaty, Hatem & Mohamed, Moataz & El-Saadany, Ehab, 2023. "A generic cost-utility-emission optimization for electric bus transit infrastructure planning and charging scheduling," Energy, Elsevier, vol. 277(C).

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