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Semiparametric APC analysis of destination choice patterns: Using generalized additive models to quantify the impact of age, period, and cohort on travel distances

Author

Listed:
  • Maximilian Weigert

    (9183LMU Munich, Germany)

  • Alexander Bauer

    (9183LMU Munich, Germany)

  • Johanna Gernert

    (9183LMU Munich, Germany)

  • Marion Karl

    (1974University of Queensland, Australia)

  • Asmik Nalmpatian

    (9183LMU Munich, Germany)

  • Helmut Küchenhoff

    (9183LMU Munich, Germany)

  • Jürgen Schmude

    (9183LMU Munich, Germany)

Abstract

This study investigates how age, period, and birth cohorts are related to altering travel distances. We analyze a repeated cross-sectional survey of German pleasure travels for the period 1971–2018 using a holistic age–period–cohort (APC) analysis framework. Changes in travel distances are attributed to the life cycle (age effect), macro-level developments (period effect), and generational membership (cohort effect). We introduce ridgeline matrices and partial APC plots as innovative visualization techniques facilitating the intuitive interpretation of complex temporal structures. Generalized additive models are used to circumvent the identification problem by fitting a bivariate tensor product spline between age and period. The results indicate that participation in short-haul trips is mainly associated with age, while participation in long-distance travel predominantly changed over the period. Generational membership shows less association with destination choice concerning travel distance. The presented APC approach is promising to address further questions of interest in tourism research.

Suggested Citation

  • Maximilian Weigert & Alexander Bauer & Johanna Gernert & Marion Karl & Asmik Nalmpatian & Helmut Küchenhoff & Jürgen Schmude, 2022. "Semiparametric APC analysis of destination choice patterns: Using generalized additive models to quantify the impact of age, period, and cohort on travel distances," Tourism Economics, , vol. 28(5), pages 1377-1400, August.
    • Handle: RePEc:sae:toueco:v:28:y:2022:i:5:p:1377-1400
    DOI: 10.1177/1354816620987198
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    References listed on IDEAS

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    Cited by:

    1. Juan L Eugenio-Martin & Roberto Patuelli, 2022. "Panel data models in tourism research: Innovative applications and methods," Tourism Economics, , vol. 28(5), pages 1348-1354, August.

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