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Pairwise Voting to Rank Touristic Destinations Based on Preference Valuation

Author

Listed:
  • Francisco E. Cabrera

    (Chair of Metrics and Management of Intangibles, Department of Languages and Computer Sciences, University of Málaga, 29071 Málaga, Spain)

  • Manuel Amaya

    (Department of Languages and Computer Sciences, University of Málaga, 29071 Málaga, Spain)

  • Gustavo Fabián Vaccaro Witt

    (Chair of Metrics and Management of Intangibles, Institute of Biomedical Research of Málaga (IBIMA), Department of Languages and Computer Sciences, University of Málaga, 29071 Málaga, Spain)

  • José Ignacio Peláez

    (Chair of Metrics and Management of Intangibles, Institute of Biomedical Research of Málaga (IBIMA), Department of Languages and Computer Sciences, University of Málaga, 29071 Málaga, Spain)

Abstract

This paper presents a novel approach for ranking tourist destinations based on the eigenvector method for pairwise voting (EMPV). The proposed approach relies solely on pairwise comparisons instead of direct-vote polling. The EMPV method was tested over a real-world case application to rank various tourist destinations in the Costa del Sol region, Spain, and its outcome was compared against a polling approach using a Likert-type scale. Results show that the EMPV and the Likert-based approach provided different rankings of preferred tourist destinations. Furthermore, both the EMPV and the Likert-based approaches shared the same preference patterns per ranking position, thus confirming that the reported predilection of the tourist is independent of the measurement approach. Finally, results show that the ranking produced by the EMPV methodology was highly related to the real number of visitors of the Costa del Sol tourist destinations, surpassing the Likert-based approach in both ordering and value similarities.

Suggested Citation

  • Francisco E. Cabrera & Manuel Amaya & Gustavo Fabián Vaccaro Witt & José Ignacio Peláez, 2019. "Pairwise Voting to Rank Touristic Destinations Based on Preference Valuation," Sustainability, MDPI, vol. 11(21), pages 1-13, October.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5873-:d:279352
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    References listed on IDEAS

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    1. Pan, Bing, 2015. "The power of search engine ranking for tourist destinations," Tourism Management, Elsevier, vol. 47(C), pages 79-87.
    2. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    3. Luis G. Vargas, 2016. "Voting with Intensity of Preferences," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 839-859, July.
    4. Wang, Ying & Jung, Kyung-Ae & Yeo, Gi-Tae & Chou, Chien-Chang, 2014. "Selecting a cruise port of call location using the fuzzy-AHP method: A case study in East Asia," Tourism Management, Elsevier, vol. 42(C), pages 262-270.
    5. Héctor Moreno-Mendoza & Agustín Santana-Talavera & Carmelo J. León, 2019. "Stakeholders of Cultural Heritage as Responsible Institutional Tourism Product Management Agents," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    6. Itziar Barinaga-Rementeria & Artitzar Erauskin-Tolosa & Pedro José Lozano & Itxaro Latasa, 2019. "Individual and Social Preferences in Participatory Multi-Criteria Evaluation," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    7. Wade D. Cook & Moshe Kress, 1990. "A Data Envelopment Model for Aggregating Preference Rankings," Management Science, INFORMS, vol. 36(11), pages 1302-1310, November.
    8. Wang, Xia & Li, Xiang (Robert) & Zhen, Feng & Zhang, JinHe, 2016. "How smart is your tourist attraction?: Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach," Tourism Management, Elsevier, vol. 54(C), pages 309-320.
    9. Mendola, Daria & Volo, Serena, 2017. "Building composite indicators in tourism studies: Measurements and applications in tourism destination competitiveness," Tourism Management, Elsevier, vol. 59(C), pages 541-553.
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