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A Two-Stage MCDM Model for Exploring the Influential Relationships of Sustainable Sports Tourism Criteria in Taichung City

Author

Listed:
  • Jen-Jen Yang

    (Office of Physical Education General Education Center, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung 413310, Taiwan)

  • Yen-Ching Chuang

    (Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, 151, University Rd., Sanxia District, New Taipei City 23741, Taiwan)

  • Huai-Wei Lo

    (Department of Industrial Engineering and Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, Taiwan)

  • Ting-I Lee

    (Office of Physical Education General Education Center, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung 413310, Taiwan)

Abstract

Many countries advocate sports for all to cultivate people’s interest in sports. In cities, cross-industry alliances between sports and tourism are one of the common practices. The following two important issues need to be discussed, namely, what factors should be paid attention to in the development of sports tourism, and what are the mutual influential relationships among these factors. This study proposes a novel two-stage multi-criteria decision-making (MCDM) model to incorporate the concept of sustainable development into sports tourism. First, the Bayesian best–worst method (Bayesian BWM) is used to screen out important criteria. Bayesian BWM solves the problem of expert opinion integration of conventional BWM. It is based on the statistical probability to estimate the optimal group criteria weights. Secondly, the rough decision making trial and evaluation laboratory (rough DEMATEL) technique is used to map out complex influential relationships. The introduction of DEMATEL from the rough set theory has better practicality. In the calculation program, interval types are used to replace crisp values in order to retain more expert information. A city in central Taiwan was used to demonstrate the effectiveness of the model. The results show that the quality of urban security, government marketing, business sponsorship and mass transit planning are the most important criteria. In addition, in conjunction with local festivals is the most influential factor for the overall evaluation system.

Suggested Citation

  • Jen-Jen Yang & Yen-Ching Chuang & Huai-Wei Lo & Ting-I Lee, 2020. "A Two-Stage MCDM Model for Exploring the Influential Relationships of Sustainable Sports Tourism Criteria in Taichung City," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2319-:d:338767
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    References listed on IDEAS

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    Cited by:

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    2. Göçmen Polat, Elifcan & Yücesan, Melih & Gül, Muhammet, 2023. "A comparative framework for criticality assessment of strategic raw materials in Turkey," Resources Policy, Elsevier, vol. 82(C).
    3. Fei-Hsin Huang & Hann Nguyen, 2022. "Selecting Optimal Cultural Tourism for Indigenous Tribes by Fuzzy MCDM," Mathematics, MDPI, vol. 10(17), pages 1-12, August.
    4. Tavana, Madjid & Mina, Hassan & Santos-Arteaga, Francisco J., 2023. "A general Best-Worst method considering interdependency with application to innovation and technology assessment at NASA," Journal of Business Research, Elsevier, vol. 154(C).
    5. Antonio Granero-Gallegos, 2020. "New Developments in Physical Education and Sport," IJERPH, MDPI, vol. 17(24), pages 1-9, December.
    6. Moisés Barbosa Junior & Eliane Pinheiro & Carla Cristiane Sokulski & Diego Alexis Ramos Huarachi & Antonio Carlos de Francisco, 2022. "How to Identify Barriers to the Adoption of Sustainable Agriculture? A Study Based on a Multi-Criteria Model," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    7. Salvador Garcia-Ayllon & Eloy Hontoria & Nolberto Munier, 2021. "The Contribution of MCDM to SUMP: The Case of Spanish Cities during 2006–2021," IJERPH, MDPI, vol. 19(1), pages 1-21, December.

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