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Willingness to pay for safety improvements in passenger air travel

Author

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  • Molin, Eric
  • Blangé, Joey
  • Cats, Oded
  • Chorus, Caspar

Abstract

The risk of being involved in an airplane accident is largely ignored in air passengers’ choice models. The reason presumably is that it is hard to operationalize, because objective safety indicators often involve extremely low probabilities that are hard to grasp and interpret by passengers. In this paper, we propose an operationalization that is based on the perception of safety, which is easy to understand and resonates that perceptions often influence decisions stronger than objective variables. We conceptualize that passengers form a safety perception score of a particular flight based on their perception of airline and route attributes and that this score in turn is traded-off against other flight attributes, such as ticket costs, to arrive at a flight choice. In line with this conceptualization, two stated preference experiments are conducted. In a first experiment, combinations of airline and route attributes are evaluated in terms of safety that is captured on a rating scale. In a second experiment, safety perception is treated as an attribute and traded-off against other flight attributes to arrive at a flight choice. The paper presents the results of a regression and a Panel Mixed Logit model estimated from responses obtained from a convenience sample of 161 air passengers recruited in the Netherlands. The results of both models are then combined to calculate the willingness to pay values for improvements made to a range of airline and route attributes, taking into account socio-demographic variables and psychological traits. As expected, the results indicate that the willingness to pay for improving safety decreases with higher initial safety levels.

Suggested Citation

  • Molin, Eric & Blangé, Joey & Cats, Oded & Chorus, Caspar, 2017. "Willingness to pay for safety improvements in passenger air travel," Journal of Air Transport Management, Elsevier, vol. 62(C), pages 165-175.
  • Handle: RePEc:eee:jaitra:v:62:y:2017:i:c:p:165-175
    DOI: 10.1016/j.jairtraman.2017.04.002
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    Citations

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    Cited by:

    1. Ahmed, Sheikh Shahriar & Fountas, Grigorios & Eker, Ugur & Still, Stephen E. & Anastasopoulos, Panagiotis Ch, 2021. "An exploratory empirical analysis of willingness to hire and pay for flying taxis and shared flying car services," Journal of Air Transport Management, Elsevier, vol. 90(C).
    2. Battisti, Enrico & Giachino, Chiara & Iaia, Lea & Stylianou, Ioanna & Papatheodorou, Andreas, 2022. "Air transport and mood in younger generations: The role of travel significance and COVID-19," Journal of Air Transport Management, Elsevier, vol. 103(C).
    3. Akyildirim, Erdinc & Corbet, Shaen & O'Connell, John F. & Sensoy, Ahmet, 2021. "The influence of aviation disasters on engine manufacturers: An analysis of financial and reputational contagion risks," International Review of Financial Analysis, Elsevier, vol. 74(C).
    4. Babić, Danica & Begović, Boris & Levajković, Tijana, 2023. "Probabilistic model for the impact of fear of flying on airline network structures," Journal of Air Transport Management, Elsevier, vol. 109(C).
    5. Chen, Tiantian & Fu, Xiaowen & Hensher, David A. & Li, Zhi-Chun & Sze, N.N., 2022. "The effect of online meeting and health screening on business travel: A stated preference case study in Hong Kong," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    6. Stotz, Tamara & Bearth, Angela & Ghelfi, Signe Maria & Siegrist, Michael, 2022. "The perceived costs and benefits that drive the acceptability of risk-based security screenings at airports," Journal of Air Transport Management, Elsevier, vol. 100(C).
    7. Panagiotis G. Tzouras & Lambros Mitropoulos & Katerina Koliou & Eirini Stavropoulou & Christos Karolemeas & Eleni Antoniou & Antonis Karaloulis & Konstantinos Mitropoulos & Eleni I. Vlahogianni & Kons, 2023. "Describing Micro-Mobility First/Last-Mile Routing Behavior in Urban Road Networks through a Novel Modeling Approach," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    8. Molin, Eric & Kroesen, Maarten, 2022. "Train travel in corona time: Safety perceptions of and support for policy measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 196-209.
    9. Sanmay Shelat & Thijs van de Wiel & Eric Molin & J W C van Lint & Oded Cats, 2022. "Analysing the impact of COVID-19 risk perceptions on route choice behaviour in train networks," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-19, March.
    10. Chang, Yu-Hern & Yeh, Chung-Hsing & Wu, Pei-Syuan, 2018. "Evaluating airline crisis management performance: The cases of flights GE222 and GE235 crash accidents," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 62-72.

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