• Medientyp: E-Artikel
  • Titel: Evaluation and Analysis of Influencing Factors of National Traditional Sports Tourism on National Cultural Ecology Based on Big Data Discrete Differential Algorithm
  • Beteiligte: Li, Yunong; Liu, Shaohua
  • Erschienen: Hindawi Limited, 2022
  • Erschienen in: Wireless Communications and Mobile Computing
  • Sprache: Englisch
  • DOI: 10.1155/2022/3588970
  • ISSN: 1530-8677; 1530-8669
  • Schlagwörter: Electrical and Electronic Engineering ; Computer Networks and Communications ; Information Systems
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  • Beschreibung: <jats:p>The development of sports tourism is an important way of national cultural development, and its development will inevitably have a certain impact on national cultural ecology. Based on the characteristics of national cultural ecology, this paper adopts the big data discrete differential algorithm to evaluate and analyze the influencing factors of sports tourism development on national cultural ecology. The experimental results show that the discrete differential algorithm based on support vector machine can transform and optimize the solution objectives and solve them effectively. Through data analysis, it can be seen that the development of sports tourism can improve the economic development of ethnic areas, promote the development of regional facilities and environment, and increase cultural exchanges between different ethnic groups. At the same time, the development of sports tourism has strengthened the development of local national cultural behavior level and spiritual form level and made people reexamine and understand their own national culture. However, in the development of sports tourism, the material form of national cultural ecology has been impacted by the opening of the environment. If the local awareness of the protection of national cultural ecology is not improved, the material form of national culture may be irreversibly damaged.</jats:p>
  • Zugangsstatus: Freier Zugang