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The sky is the limit: Assessing aircraft market diffusion with agent-based modeling

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  • Liu, Xueying
  • Madlener, Reinhard

Abstract

This paper presents an agent-based model for the diffusion of new aircraft models. Expanding on the classical economic decision framework, where investment decision-making is entirely based on profitability, our more holistic modeling approach takes into account profitability, flexibility, as well as the environmental impact of new aircraft models in the adoption decision process. Technical parameters, such as the range and passenger number per aircraft model considered, various types of pollutant emissions of the aircraft engine, as well as daily operational data, are used as covariates in the model. In validation for the most common mid-range passenger aircraft models of Airbus and Boeing, our agent-based model produces results that are comparable to observed real-world data on the market diffusion of existing mainstream aircraft models. This result shows the applicability and usefulness of our model, which can subsequently also be applied for studying the diffusion of aircraft models embodying new generations of components. Our simulation shows that a price reduction or a decrease in pollutant emissions of new aircraft models can be expected to lead to more adoption and faster diffusion. Furthermore, our modeling approach demonstrates that a holistic and systematic framework that includes not only profitability (in terms of payback time) but also flexibility (in terms of optimal range and amount of passengers) and environmental impact (in terms of deviation from regulatory standards) can be helpful for modeling the investment decision-making process of airlines.

Suggested Citation

  • Liu, Xueying & Madlener, Reinhard, 2021. "The sky is the limit: Assessing aircraft market diffusion with agent-based modeling," Journal of Air Transport Management, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:jaitra:v:96:y:2021:i:c:s0969699721000879
    DOI: 10.1016/j.jairtraman.2021.102104
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    Cited by:

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    2. Hellwig, Robert & Atasoy, Ayse Tugba & Madlener, Reinhard, 2020. "The Impact of Social Preferences and Information on the Willingness to Pay for Fairtrade Products," FCN Working Papers 6/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    3. Walter, Antonia & Held, Maximilian & Pareschi, Giacomo & Pengg, Hermann & Madlener, Reinhard, 2020. "Decarbonizing the European Automobile Fleet: Impacts of 1.5 °C-compliant Climate Policies in Germany and Norway," FCN Working Papers 18/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    4. Liu, Xueying & Madlener, Reinhard, 2019. "Get Ready for Take-Off: A Two-Stage Model of Aircraft Market Diffusion," FCN Working Papers 15/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

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    More about this item

    Keywords

    Transportation economics; Technological diffusion; Passenger aircraft models; Environmental benefit;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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