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Analysing the Hidden Relationship between Long-Distance Transport and Information and Communication Technology Use through a Fuzzy Clustering Eco-Extended Apostle Model

Author

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  • Panayotis Christidis

    (Joint Research Centre, European Commission, 41092 Seville, Spain)

  • Juan Carlos Martín

    (Institute of Tourism and Sustainable Economic Development, University of Las Palmas de Gran Canaria, 35017 Las Palmas, Spain)

  • Concepción Román

    (Institute of Tourism and Sustainable Economic Development, University of Las Palmas de Gran Canaria, 35017 Las Palmas, Spain)

Abstract

The study analyses the hidden relationship between transport and ICT use for an extensive sample of 26,500 EU citizens. To that aim, a fuzzy clustering Eco-extended apostle model is applied to both latent variables: interurban transport trips and ICT use. The interurban long-distance trip (LDT) latent variable is measured by four different indicators (long- and medium-distance trips for work and leisure in the past twelve months), and the ICT use is based on a ten-item scale that provides information on different transport modes. The fuzzy Eco-extended apostle model is compared with the classical apostle model, translating the satisfaction and loyalty dimensions to our case. The fuzzy clustering model shows that most EU citizens are similar to the representative citizen who moved and used ICT at very low rates (56.5 and 50.4 per cent, respectively). The classical apostle model shows that the quadrants low LDT–high ICT and low LDT–low ICT are more represented by 38.5 and 35.2 per cent, respectively. However, the Eco-extended apostle model reinforces the results of the quadrant of low LDT–low ICT (40.22%) but softens those obtained in the quadrant of low LDT–high ICT (21.01%). Interesting insights of the effects of gender, age, education, and employment status are discussed.

Suggested Citation

  • Panayotis Christidis & Juan Carlos Martín & Concepción Román, 2024. "Analysing the Hidden Relationship between Long-Distance Transport and Information and Communication Technology Use through a Fuzzy Clustering Eco-Extended Apostle Model," Mathematics, MDPI, vol. 12(6), pages 1-21, March.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:6:p:791-:d:1353292
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    References listed on IDEAS

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    1. Aultman-Hall, Lisa, 2018. "Incorporating Long-Distance Travel into Transportation Planning in the United States," Institute of Transportation Studies, Working Paper Series qt0ft8b3b5, Institute of Transportation Studies, UC Davis.
    2. David Banister & Dominic Stead, 2004. "Impact of information and communications technology on transport," Transport Reviews, Taylor & Francis Journals, vol. 24(5), pages 611-632, January.
    3. Juan Martín & Gustavo Nombela, 2007. "Microeconomic impacts of investments in high speed trains in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(3), pages 715-733, September.
    4. Martin-Domingo, Luis & Martín, Juan Carlos, 2016. "Airport mobile internet an innovation," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 102-112.
    5. Shaila Jamal & Muhammad Ahsanul Habib, 2019. "Investigation of the use of smartphone applications for trip planning and travel outcomes," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(3), pages 227-243, April.
    6. D'Urso, Pierpaolo & Disegna, Marta & Massari, Riccardo & Osti, Linda, 2016. "Fuzzy segmentation of postmodern tourists," Tourism Management, Elsevier, vol. 55(C), pages 297-308.
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