Implications of de-carbonization policies using an innovative urban transport simulator

Urban transportation is responsible for most GHG and half of NOX emissions, causing health morbidity. New innovative tools are required to accurately calculate emissions and, at the same time, analyze the far-reaching impacts of urban transportation emissions in large-scale areas. To address this gap, the authors combined SimMobility's agent-based demand simulator with Aimsun-Next's dynamic traffic assignment model and developed a new mesoscopic emission model. In this study, the authors demonstrate the use of the authors' improved simulation framework by investigating the effects of carbon-related transportation policies in the Tel-Aviv metropolitan area. The authors examined the change in demand, fuel consumption, various emissions levels, as well as analyzing environmental equity impacts. The authors' results show that limiting car ownership at the household level is more effective in restraining emissions than the examined geographical congestion charging policy. While reducing car ownership, carbon dioxide emissions and child exposure to PM2.5 are reduced by 11% and 19%, respectively.


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  • Accession Number: 01885322
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 20 2023 10:09AM