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The Sky is the Limit: Assessing Aircraft Market Diffusion with Agent-Based Modeling

Author

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  • Liu, Xueying

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

  • Madlener, Reinhard

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

Abstract

This paper presents an adapted agent-based model for the diffusion of new aircraft model series. Expanding on the classical economic decision framework, where investment decision-making is entirely based on profitability, our holistic modeling approach takes into account profitability, flexibility, as well as the environmental impact of new aircraft model series in the adoption decision process. Technical parameters such as the range and maximum take-off weight of an aircraft model series, various emissions of the aircraft engine, as well as daily operational data, are used to calibrate the model. In validation, our model produces results that are comparable to data on the market diffusion of an existing aircraft model series, the Boeing 737-500. This result shows the applicability of our model, which can also subsequently be used on aircraft with new generations of technologies. Our simulation shows that a price reduction or a decrease in emissions could lead to more adoption and faster diffusion. Furthermore, our modeling approach demonstrates that a holistic framework to include not only profitability but also flexibility and environmental impact can be helpful when modeling the investment decision-making process.

Suggested Citation

  • Liu, Xueying & Madlener, Reinhard, 2019. "The Sky is the Limit: Assessing Aircraft Market Diffusion with Agent-Based Modeling," FCN Working Papers 16/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  • Handle: RePEc:ris:fcnwpa:2019_016
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    References listed on IDEAS

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    1. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    2. Irwin, Douglas A. & Pavcnik, Nina, 2004. "Airbus versus Boeing revisited: international competition in the aircraft market," Journal of International Economics, Elsevier, vol. 64(2), pages 223-245, December.
    3. Specht, Jan Martin & Madlener, Reinhard, 2018. "Business Models for Energy Suppliers Aggregating Flexible Distributed Assets and Policy Issues Raised," FCN Working Papers 7/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    4. Joe A. Dodson, Jr. & Eitan Muller, 1978. "Models of New Product Diffusion Through Advertising and Word-of-Mouth," Management Science, INFORMS, vol. 24(15), pages 1568-1578, November.
    5. Höfer, Tim & von Nitzsch, Rüdiger & Madlener, Reinhard, 2019. "Using Value-Focused Thinking and Multi-Criteria Group Decision-Making to Evaluate Energy Transition Alternatives," FCN Working Papers 4/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    6. Barbara Glensk & Reinhard Madlener, 2019. "Energiewende @ Risk: On the Continuation of Renewable Power Generation at the End of Public Policy Support," Energies, MDPI, vol. 12(19), pages 1-25, September.
    7. Higgins, Andrew & Paevere, Phillip & Gardner, John & Quezada, George, 2012. "Combining choice modelling and multi-criteria analysis for technology diffusion: An application to the uptake of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1399-1412.
    8. Antonio Lopolito & Piergiuseppe Morone & Richard Taylor, 2011. "An agent-based model approach to innovation niche creation in socio-technical transition pathways," Economics Bulletin, AccessEcon, vol. 31(2), pages 1780-1792.
    9. Höfer, Tim & Madlener, Reinhard, 2020. "A participatory stakeholder process for evaluating sustainable energy transition scenarios," Energy Policy, Elsevier, vol. 139(C).
    10. Richard Baldwin & Paul Krugman, 1988. "Industrial Policy and International Competition in Wide-Bodied Jet Aircraft," NBER Chapters, in: Trade Policy Issues and Empirical Analysis, pages 45-78, National Bureau of Economic Research, Inc.
    11. Höfer, Tim & Madlener, Reinhard, 2018. "Locational (In-)Efficiency of Renewable Power Generation Feeding in the Electricity Grid: A Spatial Regression Analysis," FCN Working Papers 13/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised 01 Dec 2019.
    12. Heesen, Florian & Madlener, Reinhard, 2021. "Revisiting heat energy consumption modeling: Household production theory applied to field experimental data," Energy Policy, Elsevier, vol. 158(C).
    13. 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).
    14. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    15. Palmer, J. & Sorda, G. & Madlener, R., 2015. "Modeling the diffusion of residential photovoltaic systems in Italy: An agent-based simulation," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 106-131.
    16. Karami, Mahdi & Madlener, Reinhard, 2018. "Business Model Innovation for the Energy Market: Joint Value Creation for Electricity Retailers and their Residential Customers," FCN Working Papers 15/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    17. Husemann, Michael & Schäfer, Katharina & Stumpf, Eike, 2018. "Flexibility within flight operations as an evaluation criterion for preliminary aircraft design," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 201-214.
    18. Noori, Mehdi & Tatari, Omer, 2016. "Development of an agent-based model for regional market penetration projections of electric vehicles in the United States," Energy, Elsevier, vol. 96(C), pages 215-230.
    19. Wolff, Stefanie & Madlener, Reinhard, 2019. "Charged up? Preferences for Electric Vehicle Charging and Implications for Charging Infrastructure Planning," FCN Working Papers 3/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    20. Atasoy, Ayse Tugba & Harmsen-van Hout, Marjolein & Madlener, Reinhard, 2018. "Strategic Demand Response to Dynamic Pricing: A Lab Experiment for the Electricity Market," FCN Working Papers 5/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Jan 2020.
    21. Bruce Robinson & Chet Lakhani, 1975. "Dynamic Price Models for New-Product Planning," Management Science, INFORMS, vol. 21(10), pages 1113-1122, June.
    22. Karami, Mahdi & Madlener, Reinhard, 2019. "Smart Predictive Maintenance Strategy Based on Cyber-Physical Systems for Centrifugal Pumps: A Bearing Vibration Analysis," FCN Working Papers 14/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    23. Maya Sopha, Bertha & Klöckner, Christian A. & Hertwich, Edgar G., 2011. "Exploring policy options for a transition to sustainable heating system diffusion using an agent-based simulation," Energy Policy, Elsevier, vol. 39(5), pages 2722-2729, May.
    24. Wolff, Stefanie & Madlener, Reinhard, 2018. "Driven by Change: Commercial Drivers’ Acceptance and Perceived Efficiency of Using Light-Duty Electric Vehicles in Germany," FCN Working Papers 11/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    25. Costa, Álvaro & Fernandes, Ruben, 2012. "Urban public transport in Europe: Technology diffusion and market organisation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 269-284.
    26. Kowalska-Pyzalska, Anna & Maciejowska, Katarzyna & Suszczyński, Karol & Sznajd-Weron, Katarzyna & Weron, Rafał, 2014. "Turning green: Agent-based modeling of the adoption of dynamic electricity tariffs," Energy Policy, Elsevier, vol. 72(C), pages 164-174.
    27. Jayati Sarkar, 1998. "Technological Diffusion: Alternative Theories and Historical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 12(2), pages 131-176, April.
    28. Weron, Tomasz & Kowalska-Pyzalska, Anna & Weron, Rafał, 2018. "The role of educational trainings in the diffusion of smart metering platforms: An agent-based modeling approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 591-600.
    29. Robert E. Baldwin, 1988. "Trade Policy Issues and Empirical Analysis," NBER Books, National Bureau of Economic Research, Inc, number bald88-2.
    30. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    31. Sorda, G. & Sunak, Y. & Madlener, R., 2013. "An agent-based spatial simulation to evaluate the promotion of electricity from agricultural biogas plants in Germany," Ecological Economics, Elsevier, vol. 89(C), pages 43-60.
    32. Zeng, Yu & Schmitz, Hendrik & Madlener, Reinhard, 2018. "An Econometric Analysis of the Determinants of Passenger Vehicle Sales in Germany," FCN Working Papers 6/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    33. Paul Attewell, 1992. "Technology Diffusion and Organizational Learning: The Case of Business Computing," Organization Science, INFORMS, vol. 3(1), pages 1-19, February.
    34. repec:bla:jecsur:v:12:y:1998:i:2:p:131-76 is not listed on IDEAS
    35. Henrich R. Greve & Marc-David L. Seidel, 2015. "The thin red line between success and failure: Path dependence in the diffusion of innovative production technologies," Strategic Management Journal, Wiley Blackwell, vol. 36(4), pages 475-496, April.
    36. Vonsien, Silvia & Madlener, Reinhard, 2018. "Cost-Effectiveness of Li-Ion Battery Storage with a Special Focus on Photovoltaic Systems in Private Households," FCN Working Papers 2/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    37. Silvia, Chris & Krause, Rachel M., 2016. "Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model," Energy Policy, Elsevier, vol. 96(C), pages 105-118.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Wolff, Stefanie & Madlener, Reinhard, 2020. "Willing to Pay? Spatial Heterogeneity of e-Vehicle Charging Preferences in Germany," FCN Working Papers 9/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    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; Agent-based modeling; Aircraft;
    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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