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Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation

Author

Listed:
  • Alona Pukhova

    (Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Germany)

  • Ana Tsui Moreno

    (Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Germany)

  • Carlos Llorca

    (Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Germany)

  • Wei-Chieh Huang

    (Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Germany)

  • Rolf Moeckel

    (Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Germany)

Abstract

Every sector needs to minimize GHG emissions to limit climate change. Emissions from transport, however, have remained mostly unchanged over the past thirty years. In particular, air travel for short-haul flights is a significant contributor to transport emissions. This article identifies factors that influence the demand for domestic air travel. An agent-based model was implemented for domestic travel in Germany to test policies that could be implemented to reduce air travel and CO 2 emissions. The agent-based long-distance travel demand model is composed of trip generation, destination choice, mode choice and CO 2 emission modules. The travel demand model was estimated and calibrated with the German Household Travel Survey, including socio-demographic characteristics and area type. Long-distance trips were differentiated by trip type (daytrip, overnight trip), trip purpose (business, leisure, private) and mode (auto, air, long-distance rail and long-distance bus). Emission factors by mode were used to calculate CO 2 emissions. Potential strategies and policies to reduce air travel demand and its CO 2 emissions are tested using this model. An increase in airfares reduced the number of air trips and reduced transport emissions. Even stronger effects were found with a policy that restricts air travel to trips that are longer than a certain threshold distance. While such policies might be difficult to implement politically, restricting air travel has the potential to reduce total CO 2 emissions from transport by 7.5%.

Suggested Citation

  • Alona Pukhova & Ana Tsui Moreno & Carlos Llorca & Wei-Chieh Huang & Rolf Moeckel, 2021. "Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation," Urban Planning, Cogitatio Press, vol. 6(2), pages 271-284.
    • Handle: RePEc:cog:urbpla:v6:y:2021:i:2:p:271-284
    DOI: 10.17645/up.v6i2.4021
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    References listed on IDEAS

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