A Two-Stage MCDM Model for Exploring the Influential Relationships of Sustainable Sports Tourism Criteria in Taichung City
| Autor: | Yen-Ching Chuang, Ting-I Lee, Jen-Jen Yang, Huai-Wei Lo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Health Toxicology and Mutagenesis media_common.quotation_subject Decision Making Taiwan lcsh:Medicine 010501 environmental sciences 01 natural sciences Article rough DEMATEL 0502 economics and business sustainable sports tourism Quality (business) Bayesian BWM Cities MCDM 0105 earth and related environmental sciences media_common Sustainable development Government Frequentist probability Travel Management science 05 social sciences lcsh:R Public Health Environmental and Occupational Health Bayes Theorem Sustainable Development Multiple-criteria decision analysis sports for all Rough set 050212 sport leisure & tourism Tourism Sports tourism Sports |
| Zdroj: | International Journal of Environmental Research and Public Health Volume 17 Issue 7 International Journal of Environmental Research and Public Health, Vol 17, Iss 2319, p 2319 (2020) |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph17072319 |
| Popis: | Many countries advocate sports for all to cultivate people&rsquo 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&ndash 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. |
| Databáze: | OpenAIRE |
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