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<p>In the era of smart tourism, its emergence not only provides crucial technical support to meet the needs of tourists but also prompts the reform and improvement of the development mode of the tourism and culture industries. This study begins by examining the current state of smart tourism and the development of the tourism and culture industries. It then conducts a thorough analysis of the mechanisms driving these developments and establishes an industry analysis model based on the RMP theory. The study then employs fractional regression to identify the factors that influence the development of the smart tourism and culture industry. It then constructs a model for smart tourism and culture development, which includes government and industry support, economic and cultural support, digital information technology support, personnel support, talent cultivation, cultural participation, and social participation. Finally, it analyzes the impact of this model’s application using the RMP analysis model. This paper’s development model sees annual increases in tourism and culture industry indexes, rising from 105.85 to 145.79, with an average growth ratio of 17.35%. The overall satisfaction rating for the product experience stands at 4.152, suggesting that under the development mode of the smart tourism and culture industry in this paper, both the market economy and the product experience exhibit excellent phenotypes. This paper supports the construction of a smart tourism cultural industry development model using digital technology and provides references for the tourism cultural industry model.</p>
</abstract>

In the era of smart tourism, its emergence not only provides crucial technical support to meet the needs of tourists but also prompts the reform and improvement of the development mode of the tourism and culture industries. This study begins by examining the current state of smart tourism and the development of the tourism and culture industries. It then conducts a thorough analysis of the mechanisms driving these developments and establishes an industry analysis model based on the RMP theory. The study then employs fractional regression to identify the factors that influence the development of the smart tourism and culture industry. It then constructs a model for smart tourism and culture development, which includes government and industry support, economic and cultural support, digital information technology support, personnel support, talent cultivation, cultural participation, and social participation. Finally, it analyzes the impact of this model’s application using the RMP analysis model. This paper’s development model sees annual increases in tourism and culture industry indexes, rising from 105.85 to 145.79, with an average growth ratio of 17.35%. The overall satisfaction rating for the product experience stands at 4.152, suggesting that under the development mode of the smart tourism and culture industry in this paper, both the market economy and the product experience exhibit excellent phenotypes. This paper supports the construction of a smart tourism cultural industry development model using digital technology and provides references for the tourism cultural industry model.

Innovative Development Mode of Tourism and Culture Industry in the Era of Smart Tourism

Applied Mathematics and Nonlinear Sciences

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

In the era of smart tourism, its emergence not only provides crucial technical support to meet the needs of tourists but also prompts the reform and...

Innovative Development Mode of Tourism and Culture Industry in the Era of Smart Tourism

Data publikacji: 05 sie 2024

Zakres stron: -

Otrzymano: 13 kwi 2024

Przyjęty: 30 cze 2024

DOI: https://doi.org/10.2478/amns-2024-2141

Słowa kluczowe
Smart tourism, RMP theory, Fractional rank regression, Tourism culture industry

© 2024 Pingping Zhang, published by Sciendo

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

Innovative Development Mode of Tourism and Culture Industry in the Era of Smart Tourism

Data publikacji: 05 sie 2024

Zakres stron: -

Otrzymano: 13 kwi 2024

Przyjęty: 30 cze 2024

DOI: https://doi.org/10.2478/amns-2024-2141

Słowa kluczoweSmart tourism, RMP theory, Fractional rank regression, Tourism culture industry

© 2024 Pingping Zhang, published by Sciendo

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

Słowa kluczowe
Smart tourism, RMP theory, Fractional rank regression, Tourism culture industry