Agent-Based Simulation of Long-Distance Travel
Strategies to Reduce CO2 Emissions from Passenger Aviation
Bibliographic Data
| ID | 22017958 |
|---|---|
| Authors | Alona Pukhova (0000-0003-3034-0033, Technical University of Munich), Ana Tsui Moreno (0000-0001-9003-4367, Technical University of Munich), Carlos Llorca (0000-0002-3760-193X, Technical University of Munich), Wei-Chieh Huang (0000-0003-1748-2993, Technical University of Munich), Rolf Moeckel (0000-0002-6874-0393, Technical University of Munich) |
| Year | 2021 |
| Volume | 6 |
| Issue | 2 |
| Pages | 271-284 |
| Publication date | 2021-06-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Planning (JOURNAL) |
| Journal identifiers | ISSN: 2183-7635 • E-ISSN: 2183-7635 |
| Publisher | Cogitatio (PUBLISHER • PT) |
| DOI | 10.17645/up.v6i2.4021 |
| OpenAlex | W3172597124 |
| Language | EN |
| Citations received | 2 |
| References cited | 37 |
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
Air transport · Air travel · Aviation · Business · Business as usual · Business travel · Economics · Geography · Greenhouse gas · Modal shift · Mode choice · Public transport · Tourism · Transport engineering · Travel behavior · Travel survey · Travel time · TRIPS architecture · Aviation Industry Analysis and Trends · Engineering · Environmental Science · Urban Transport and Accessibility · Vehicle emissions and performance
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |