<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>To promote the integrated development of the sports and tourism industry, create new formats, and drive the development of five happiness industries as tourism, culture, sports, health, and elderly care, promote local industrial layout and high-quality development, the author proposes an optimization model for the integration of sports industry digitalization and tourism industry. Based on the coupling coordination theory and fusion theory, the author chooses city A as the research case, through the coupling analysis method, the integrated development level of the sports industry and the tourism industry in City A was discriminated, and the dynamic factors and hindering factors affecting the coupling were explored, and the reasons were analyzed. The results show that the index weights of the two system layers, namely, the sports and tourism industry system layers, are 0.5 and 0.5, respectively. The top five weighted indicators are The number of sports-related enterprises, the number of tourist attractions, the number of travel agencies, the number of sports professionals and the number of domestic tourists received; The results of the coupling coordination degree show that in terms of degree D, there is an obvious trend of long-term stable linear increase and then a small decline, from 2010 to 2019, the D value increased from 0.28 to 1. Conclusion: The model is suitable for the practical framework of the development trend of the sports tourism industry model.</p>
</abstract>

To promote the integrated development of the sports and tourism industry, create new formats, and drive the development of five happiness industries as tourism, culture, sports, health, and elderly care, promote local industrial layout and high-quality development, the author proposes an optimization model for the integration of sports industry digitalization and tourism industry. Based on the coupling coordination theory and fusion theory, the author chooses city A as the research case, through the coupling analysis method, the integrated development level of the sports industry and the tourism industry in City A was discriminated, and the dynamic factors and hindering factors affecting the coupling were explored, and the reasons were analyzed. The results show that the index weights of the two system layers, namely, the sports and tourism industry system layers, are 0.5 and 0.5, respectively. The top five weighted indicators are The number of sports-related enterprises, the number of tourist attractions, the number of travel agencies, the number of sports professionals and the number of domestic tourists received; The results of the coupling coordination degree show that in terms of degree D, there is an obvious trend of long-term stable linear increase and then a small decline, from 2010 to 2019, the D value increased from 0.28 to 1. Conclusion: The model is suitable for the practical framework of the development trend of the sports tourism industry model.

A Hierarchical Analysis Structure Model for the Integration and Optimization of Sports Industry Digitalization and Tourism Industry

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

To promote the integrated development of the sports and tourism industry, create new formats, and drive the development of five happiness industries as...

A Hierarchical Analysis Structure Model for the Integration and Optimization of Sports Industry Digitalization and Tourism Industry

Pubblicato online: 21 giu 2023

Pagine: 2513 - 2524

Ricevuto: 09 lug 2022

Accettato: 26 dic 2022

DOI: https://doi.org/10.2478/amns.2023.1.00432

Parole chiave
Sports industry, tourism industry, industrial integration, coupling analysis

© 2023 Jundi Pang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A Hierarchical Analysis Structure Model for the Integration and Optimization of Sports Industry Digitalization and Tourism Industry

Pubblicato online: 21 giu 2023

Pagine: 2513 - 2524

Ricevuto: 09 lug 2022

Accettato: 26 dic 2022

DOI: https://doi.org/10.2478/amns.2023.1.00432

Parole chiaveSports industry, tourism industry, industrial integration, coupling analysis

© 2023 Jundi Pang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Sports industry, tourism industry, industrial integration, coupling analysis