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How Can Rail Use for Leisure and Tourism Be Promoted? Using Leisure and Mobility Orientations to Segment Swiss Railway Customers

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  • Lisa Dang

    (Institute for Tourism and Mobility ITM—Mobility Competence Centre, Lucerne University of Applied Sciences and Arts, Rösslimatte 48, 6002 Lucerne, Switzerland)

  • Widar von Arx

    (Institute for Tourism and Mobility ITM—Mobility Competence Centre, Lucerne University of Applied Sciences and Arts, Rösslimatte 48, 6002 Lucerne, Switzerland)

Abstract

This study aims to explore how customer segments are characterised by leisure and mobility orientations. By means of a survey, Swiss rail customers’ socioeconomic and trip profiles as well as attitudes towards taking the rail in their leisure time were collected. Respondents were free to take part in the survey by telephone or online, resulting in 1235 full interviews. A principal component analysis followed by segmentation through cluster analysis was conducted to derive their socio-economic and trip profiles and collect data on their attitudes towards using rail in their leisure time. Five railway customer segments were established, each demonstrating typical leisure orientations and specific attitudes towards the use of rail in leisure time and on tourist trips. This paper contributes to understanding the salient preferences of each segment and provides transport companies with clear indications for developing market-oriented offerings.

Suggested Citation

  • Lisa Dang & Widar von Arx, 2021. "How Can Rail Use for Leisure and Tourism Be Promoted? Using Leisure and Mobility Orientations to Segment Swiss Railway Customers," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5813-:d:559709
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    1. Bamberg, Sebastian & Fujii, Satoshi & Friman, Margareta & Gärling, Tommy, 2011. "Behaviour theory and soft transport policy measures," Transport Policy, Elsevier, vol. 18(1), pages 228-235, January.
    2. Chin, Kwai-Sang & Yang, Qiang & Chan, Catherine Y.P. & Tsui, Kwok L. & Li, Yan-lai, 2019. "Identifying passengers’ needs in cabin interiors of high-speed rails in China using quality function deployment for improving passenger satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 326-342.
    3. Åse Jevinger & Jan A. Persson, 2019. "Exploring the potential of using real-time traveler data in public transport disturbance management," Public Transport, Springer, vol. 11(2), pages 413-441, August.
    4. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Martin Lanzendorf, 2004. "The Same Procedure as Last Weekend: Routines and Leisure Mobility," Advances in Spatial Science, in: Michel Beuthe & Veli Himanen & Aura Reggiani & Luca Zamparini (ed.), Transport Developments and Innovations in an Evolving World, chapter 7, pages 123-145, Springer.
    7. Ma, Zhenliang & Koutsopoulos, Haris N. & Liu, Tianyou & Basu, Abhishek Arunasis, 2020. "Behavioral response to promotion-based public transport demand management: Longitudinal analysis and implications for optimal promotion design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 356-372.
    8. Becker, Henrik & Balac, Milos & Ciari, Francesco & Axhausen, Kay W., 2020. "Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 228-243.
    9. Timo Ohnmacht & Konrad Götz & Helmut Schad, 2009. "Leisure mobility styles in Swiss conurbations: construction and empirical analysis," Transportation, Springer, vol. 36(2), pages 243-265, March.
    10. Lin, Hong-Zhi & Lo, Hing-Po & Chen, Xiao-Jian, 2009. "Lifestyle classifications with and without activity-travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(6), pages 626-638, July.
    11. Miriam Magdolen & Sascha von Behren & Lukas Burger & Bastian Chlond, 2021. "Mobility Styles and Car Ownership—Potentials for a Sustainable Urban Transport," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    12. Michel Beuthe & Veli Himanen & Aura Reggiani & Luca Zamparini (ed.), 2004. "Transport Developments and Innovations in an Evolving World," Advances in Spatial Science, Springer, number 978-3-540-24827-9.
    13. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
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    Cited by:

    1. Giovanni Peira & Agata Lo Giudice & Stefania Miraglia, 2022. "Railway and Tourism: A Systematic Literature Review," Tourism and Hospitality, MDPI, vol. 3(1), pages 1-11, January.

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