Office of Physical Education General Education Center, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung 413310, Taiwan.
Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, 151, University Rd., Sanxia District, New Taipei City 23741, Taiwan.
Int J Environ Res Public Health. 2020 Mar 30;17(7):2319. doi: 10.3390/ijerph17072319.
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.
许多国家提倡全民体育，培养人们对体育的兴趣。在城市中，体育与旅游的跨行业联盟是一种常见的做法。以下是需要讨论的两个重要问题，即体育旅游发展应注意哪些因素，以及这些因素之间存在哪些相互影响关系。本研究提出了一种新颖的两阶段多准则决策（MCDM）模型，将可持续发展的概念纳入体育旅游中。首先，采用贝叶斯最佳最差法（Bayesian BWM）筛选出重要的标准。贝叶斯 BWM 解决了传统 BWM 中专家意见整合的问题。它基于统计概率来估计最优的群体标准权重。其次，采用粗糙决策试验和评价实验室（rough DEMATEL）技术来映射复杂的影响关系。粗糙集理论中的 DEMATEL 的引入具有更好的实用性。在计算程序中，使用区间类型代替了清晰值，以保留更多的专家信息。台湾中部的一个城市被用来验证模型的有效性。结果表明，城市安全质量、政府营销、商业赞助和大众交通规划是最重要的标准。此外，与当地节日相结合是对整体评价体系影响最大的因素。
