Demand and influencing factors of Ice-Snow sports tourism products using heterogeneous network

Ping Zhang; Juntao Sun; Ping Zhang; Juntao Sun

doi:10.3934/math.2023693

AIMS Mathematics

2023, Volume 8, Issue 6: 13647-13662. doi: 10.3934/math.2023693

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Research article Special Issues

Demand and influencing factors of Ice-Snow sports tourism products using heterogeneous network

Ping Zhang ¹,
Juntao Sun ^{2
,
,}

1.
School of Physical Education, Qiqihar University, Heilongjiang, China
2.
Department of Physical Education, Qiqihar Medical University, Heilongjiang, China

Received: 10 January 2023 Revised: 15 March 2023 Accepted: 26 March 2023 Published: 10 April 2023
MSC : 05C82, 03D32, 05C85, 05A05, 62P25

Heterogeneous networks are complex directed graphs that incorporate multiple types of vertices and edges, enabling the representation of diverse structural and semantic information, and facilitating the abstraction of real-world phenomena. In the context of modern-day societal demands and pressures, individuals seek emotional solace and physical well-being. Notably, China has witnessed a surge in winter sports tourism, with outdoor activities such as skiing gaining increased attention. However, research in this field is sporadic and lacks a comprehensive analysis of the distinctive features of snow and ice sports tourism. Hence, this paper proposes to investigate the demand for ice and snow sports tourism products and its underlying factors using a heterogeneous network model. Drawing upon relevant theories and content, the study analyzes the primary drivers of the development of ice and snow sports tourism. Furthermore, based on the evaluation of ice and snow sports attractions across five major cities, the research synthesizes various product requirements that affect both existing and potential consumers of ice and snow sports tourism. The ultimate aim is to provide practical insights to guide the development and design of ice and snow sports tourism products and ensure the sustainable development of tourism destinations. The final experimental results reveal that the three most crucial aspects of ice and snow sports tourism products are entertainment, stimulation, and safety, with respective effective rates of 64.0%, 62.1%, and 58.9%.
- heterogeneous network,
- network selection algorithm,
- Ice-Snow sports,
- demand for tourism products
Citation: Ping Zhang, Juntao Sun. Demand and influencing factors of Ice-Snow sports tourism products using heterogeneous network[J]. AIMS Mathematics, 2023, 8(6): 13647-13662. doi: 10.3934/math.2023693

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Abstract

Heterogeneous networks are complex directed graphs that incorporate multiple types of vertices and edges, enabling the representation of diverse structural and semantic information, and facilitating the abstraction of real-world phenomena. In the context of modern-day societal demands and pressures, individuals seek emotional solace and physical well-being. Notably, China has witnessed a surge in winter sports tourism, with outdoor activities such as skiing gaining increased attention. However, research in this field is sporadic and lacks a comprehensive analysis of the distinctive features of snow and ice sports tourism. Hence, this paper proposes to investigate the demand for ice and snow sports tourism products and its underlying factors using a heterogeneous network model. Drawing upon relevant theories and content, the study analyzes the primary drivers of the development of ice and snow sports tourism. Furthermore, based on the evaluation of ice and snow sports attractions across five major cities, the research synthesizes various product requirements that affect both existing and potential consumers of ice and snow sports tourism. The ultimate aim is to provide practical insights to guide the development and design of ice and snow sports tourism products and ensure the sustainable development of tourism destinations. The final experimental results reveal that the three most crucial aspects of ice and snow sports tourism products are entertainment, stimulation, and safety, with respective effective rates of 64.0%, 62.1%, and 58.9%.

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