Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation
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 th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Cogitatio
2021-06-01
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| Series: | Urban Planning |
| Subjects: | |
| Online Access: | https://www.cogitatiopress.com/urbanplanning/article/view/4021 |
| _version_ | 1818588143773810688 |
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| author | Alona Pukhova Ana Tsui Moreno Carlos Llorca Wei-Chieh Huang Rolf Moeckel |
| author_facet | Alona Pukhova Ana Tsui Moreno Carlos Llorca Wei-Chieh Huang Rolf Moeckel |
| author_sort | Alona Pukhova |
| collection | DOAJ |
| description | 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 CO2 emissions. The agent-based long-distance travel demand model is composed of trip generation, destination choice, mode choice and CO2 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 CO2 emissions. Potential strategies and policies to reduce air travel demand and its CO2 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 CO2 emissions from transport by 7.5%. |
| first_indexed | 2024-12-16T09:20:04Z |
| format | Article |
| id | doaj.art-cd2001a12d174022b8e22dc6212a249d |
| institution | Directory Open Access Journal |
| issn | 2183-7635 |
| language | English |
| last_indexed | 2024-12-16T09:20:04Z |
| publishDate | 2021-06-01 |
| publisher | Cogitatio |
| record_format | Article |
| series | Urban Planning |
| spelling | doaj.art-cd2001a12d174022b8e22dc6212a249d2022-12-21T22:36:48ZengCogitatioUrban Planning2183-76352021-06-016210.17645/up.v6i2.40212021Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger AviationAlona Pukhova0Ana Tsui Moreno1Carlos Llorca2Wei-Chieh Huang3Rolf Moeckel4Department of Civil, Geo and Environmental Engineering, Technical University of Munich, GermanyDepartment of Civil, Geo and Environmental Engineering, Technical University of Munich, GermanyDepartment of Civil, Geo and Environmental Engineering, Technical University of Munich, GermanyDepartment of Civil, Geo and Environmental Engineering, Technical University of Munich, GermanyDepartment of Civil, Geo and Environmental Engineering, Technical University of Munich, GermanyEvery 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 CO2 emissions. The agent-based long-distance travel demand model is composed of trip generation, destination choice, mode choice and CO2 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 CO2 emissions. Potential strategies and policies to reduce air travel demand and its CO2 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 CO2 emissions from transport by 7.5%.https://www.cogitatiopress.com/urbanplanning/article/view/4021aviation emissionslong distance travelmode choice modellingtransport emissionstransport modelling |
| spellingShingle | Alona Pukhova Ana Tsui Moreno Carlos Llorca Wei-Chieh Huang Rolf Moeckel Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation Urban Planning aviation emissions long distance travel mode choice modelling transport emissions transport modelling |
| title | Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation |
| title_full | Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation |
| title_fullStr | Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation |
| title_full_unstemmed | Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation |
| title_short | Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation |
| title_sort | agent based simulation of long distance travel strategies to reduce co2 emissions from passenger aviation |
| topic | aviation emissions long distance travel mode choice modelling transport emissions transport modelling |
| url | https://www.cogitatiopress.com/urbanplanning/article/view/4021 |
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