Willingness to use night trains for long-distance travel

Martijn Heufke Kantelaar, Eric Molin, Oded Cats*, Barth Donners, Bert van Wee

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)
90 Downloads (Pure)

Abstract

After several decades of decline, night train services have gained momentum in recent years. However, the willingness to use night trains as an alternative to airplane travel has so far received only limited research attention. This paper addresses this knowledge gap by presenting the results of a two-stage stated preferences survey comprising of a comfort rating experiment and a mode choice experiment, an approach that is based on Hierarchical Information Integration (HII) theory. Data are collected in 2019 from 804 travellers in the Netherlands. From these data, first, a multiple regression model is estimated which indicates which basic comfort variables influence perceived comfort. Second, a Panel Mixed Logit choice model is estimated which indicates how perceived comfort is traded-off against travel time and travel cost. We found that the level of comfort is an important determinant for traveling by night train, and in particular the number of persons a compartment is shared with, hence the ‘privacy’ aspect is important. The results can be used by rail operators to optimize the use of night train which may contribute to the substitution of air by rail travel for long-distance journeys in Europe and therefore contribute to a more sustainable transport system. Our study is also relevant for policy makers and employers because of the insights provided in these substitution factors, and because of the importance of this substitution for environmental and financial reasons.
Original languageEnglish
Pages (from-to)339-349
Number of pages11
JournalTravel Behaviour and Society
Volume29
DOIs
Publication statusPublished - Oct 2022

Keywords

  • Hierarchical Information Integration
  • Long-distance mode choice
  • Night train
  • Panel Mixed Logit model
  • Perceived comfort

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