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Analysis of Passenger Demand for Electric Air Transportation in Sweden
Linköping University, Department of Science and Technology.
2024 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The air transport industry is constantly looking for solutions to reduce its significant contribution to global warming. Electrification of aircraft is a result of such attempts and presents a promising solution that could revolutionize the future of air transportation. While the technical development of all-electric aircraft is ongoing it is also crucial to understand the customer acceptance of this new mode. In this context, this study aims to investigate the factors that influence traveller choices and perceptions towards all-electric air transportation and to construct a small-scale demand model incorporating those factors, to predict the passenger demand for selected airport pairs in Sweden. The methodology consists of a comprehensive literature review, expert workshop, stated preference survey, and model development and analysis. Binary logit models were developed to understand the passenger choices for both leisure and business travellers, based on the primary data collected by the survey. The model results demonstrated that ticket price, travel time, environmental concerns when choosing a transport mode, and safety concerns regarding new modes have an impact on the choice of electric aircraft with high statistical significance for both traveller groups. A scenario analysis using the developed models revealed the market dynamics that could be more favourable for implementing EA operations. The results obtained by this study can be utilized by industry stakeholders such as airlines, airport operators, policymakers, and manufacturers to assist in their decision-making process.

Place, publisher, year, edition, pages
2024.
Keywords [en]
All-electric Aircraft, Factors of Demand, Demand Modeling, Binary Logit Model, Passenger Choice
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-208775ISRN: LiU-ITN-TEK-A--24/046--SEOAI: oai:DiVA.org:liu-208775DiVA, id: diva2:1908011
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Available from: 2024-10-24 Created: 2024-10-24 Last updated: 2024-10-24Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf