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<p>With the development of the trend of cultural and tourism integration, intangible cultural heritage has become an important part of the development of experiential tourism. This paper combines information visualization technology to construct a framework for the design of non-heritage information visualization. By constructing a relevant spatio-temporal retrieval function to reduce the redundancy of non-heritage spatial data storage, combined with the base state correction model, the change process of non-heritage spatial features is retraced. GRU is applied as a unit of temporal feature correlation analysis to model the serial data of the degree of participation in non-heritage tourism revitalization. Two gating controls, the reset gate and the update gate, are used to regulate the flow of NRM information. The relationship between participation level in NRH tourism revitalization and experience was focused on in the information visualization design. The results show that the p-value of tourism experience and tourism revitalization is 0.521**, which is the most significant among all p-values, indicating that tourism experience has the closest relationship with tourism revitalization, and there is a significant positive correlation between both. Among the different groups of tourists, most of the experience scores of group C tourists are concentrated in the range of (80,90), while the advanced level of participation brings visual enjoyment to tourists while conveying the cultural spirit and emotional experience.</p>
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With the development of the trend of cultural and tourism integration, intangible cultural heritage has become an important part of the development of experiential tourism. This paper combines information visualization technology to construct a framework for the design of non-heritage information visualization. By constructing a relevant spatio-temporal retrieval function to reduce the redundancy of non-heritage spatial data storage, combined with the base state correction model, the change process of non-heritage spatial features is retraced. GRU is applied as a unit of temporal feature correlation analysis to model the serial data of the degree of participation in non-heritage tourism revitalization. Two gating controls, the reset gate and the update gate, are used to regulate the flow of NRM information. The relationship between participation level in NRH tourism revitalization and experience was focused on in the information visualization design. The results show that the p-value of tourism experience and tourism revitalization is 0.521**, which is the most significant among all p-values, indicating that tourism experience has the closest relationship with tourism revitalization, and there is a significant positive correlation between both. Among the different groups of tourists, most of the experience scores of group C tourists are concentrated in the range of (80,90), while the advanced level of participation brings visual enjoyment to tourists while conveying the cultural spirit and emotional experience.

Research on the Relationship between the Participation Degree and Experience of China’s Intangible cultural heritage Tourism Activation in the Information Age

Applied Mathematics and Nonlinear Sciences

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

With the development of the trend of cultural and tourism integration, intangible cultural heritage has become an important part of the development of...

Research on the Relationship between the Participation Degree and Experience of China’s Intangible cultural heritage Tourism Activation in the Information Age

Published Online: Dec 13, 2023

Page range: -

Received: Feb 09, 2023

Accepted: Jun 23, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01474

Keywords
Moment retrieval function, Information visualization, Non-heritage spatial features, GRU, Non-heritage tourism

© 2023 Fengjun Zhao, published by Sciendo

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

Research on the Relationship between the Participation Degree and Experience of China’s Intangible cultural heritage Tourism Activation in the Information Age

Published Online: Dec 13, 2023

Page range: -

Received: Feb 09, 2023

Accepted: Jun 23, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01474

KeywordsMoment retrieval function, Information visualization, Non-heritage spatial features, GRU, Non-heritage tourism

© 2023 Fengjun Zhao, published by Sciendo

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

Keywords
Moment retrieval function, Information visualization, Non-heritage spatial features, GRU, Non-heritage tourism