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Comparing the impact of future airline network change on emissions in India and the United States
Affiliation:1. Lancaster University Management School, United Kingdom;2. Isenberg School of Management, University of Massachusetts-Amherst, Amherst, MA 01003, USA;3. Sauder School of Business, Centre for Transportation Studies, University of British Columbia, Canada;4. School of Hospitality Management, The Pennsylvania State University, University Park, PA 16802, USA;1. INTEC (UNL-CONICET), Güemes 3450, Santa Fe, Argentina;2. Fac. de Ingeniería Química (UNL), Sgo del Estero 2829, 3000 Santa Fe, Argentina
Abstract:In this paper we use simulation to analyze how flight routing network structure may change in different world regions, and how this might impact future traffic growth and emissions. We compare models of the domestic Indian and US air transportation systems, representing developing and mature air transportation systems respectively. We explicitly model passenger and airline decision-making, capturing passenger demand effects and airline operational responses, including airline network change. The models are applied to simulate air transportation system growth for networks of 49 airports in each country from 2005 to 2050. In India, the percentage of connecting passengers simulated decreases significantly (from over 40% in 2005 to under 10% in 2050), indicating that a shift in network structure towards increased point-to-point routing can be expected. In contrast, very little network change is simulated for the US airport set modeled. The simulated impact of network change on system CO2 emissions is very small, although in the case of India it could enable a large increase in demand, and therefore a significant reduction in emissions per passenger (by nearly 25%). NOx emissions at major hub airports are also estimated, and could initially reduce relative to a case in which network change is not simulated (by nearly 25% in the case of Mumbai in 2025). This effect, however, is significantly reduced by 2050 because of frequency competition effects. We conclude that network effects are important when estimating CO2 emissions per passenger and local air quality effects at hub airports in developing air transportation systems.
Keywords:Airline flight network  Simulation  Network optimization  Game theory
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