Evaluating the Behavioural Impact of Risk Exposure and Quality of Services Attributes on Preferences of Airline Customers: A Choice Behaviour Experiment

Luca D’Alonzo, M. Chiara Leva, Edgardo Bucciarelli, Nicola Mattoscio

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates how a flight profile based on attributes related to the quality of service and risk exposure may affect passengers’ willingness to pay different flight fares and how this behaviour may be studied, in turn, by socio-economic factors. To this purpose, three experimental sessions were designed and piloted with Irish undergraduates before being deployed with real passengers at the Dublin and Pescara International Airports. Specifically, the results of the first session aimed to identify the adequacy of the set of attributes in view of the two next sessions. The overall results show that students prefer to pay a lower fare traveling with a low-cost carrier rather than a full-service carrier as well as they are more sensitive to the chance that an accident occurring due to human error during the flight compared to other risk exposure attributes.

Original languageEnglish
Title of host publicationDecision Economics
Subtitle of host publicationMinds, Machines, and their Society
EditorsEdgardo Bucciarelli, Shu-Heng Chen, Juan M. Corchado, Javier Parra D.
PublisherSpringer Science and Business Media Deutschland GmbH
Pages80-91
Number of pages12
ISBN (Print)9783030755829
DOIs
Publication statusPublished - 2021
Event2nd International Conference on Decision Economics, DECON 2020 - Virtual, Online
Duration: 17 Jun 202019 Jun 2020

Publication series

NameStudies in Computational Intelligence
Volume990
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference2nd International Conference on Decision Economics, DECON 2020
CityVirtual, Online
Period17/06/2019/06/20

Keywords

  • Choice behaviour experiment
  • Flight risk exposure
  • Flight service quality
  • Logistic regression model
  • Sequential decision making

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