Optimization of the wellness path in China's cultural and recreational tourism industry: A data-driven framework for health-focused travel plans

Abstract

Background

China encounters difficulties in balancing economic development and cultural protection in the tourism sector, especially as urbanization and commercialization influence heritage integrity. This research concentrates on improving wellness-oriented travel itineraries in China's cultural and recreational tourism field.

Objectives

The main objective is to create a big data-driven framework that offers tangible, optimized itineraries to improve tourist fulfillment and assist sustainable tourism development.

Methods

The analysis of tourist data, customer desires, and travel habits employs a mixture of collaborative filtering methods, topic models, and vector space models. The research describes the development of cultural and innovative tourism, and it uses big data analytics to create improved wellness-focused travel paths.

Results

The suggested big data-driven framework enhances travel path optimization by tailoring itineraries to tourist patterns and desires. Comparative performance evaluation shows that the novel technique outperforms previous methods with a recall of 98 %, an F1 score of 98.5 %, an accuracy of 98 %, and a precision of 97 %. These findings support the technique's efficacy in improving wellness tourism services.

Conclusion

This research tackles major obstacles in China's cultural tourism industry by implementing a tangible big data-driven itinerary optimization framework. The findings demonstrate that combining wellness-focused itineraries with cultural and creative components improves tourist fulfillment and guarantees long-term development. This method offers tourism planners useful knowledge for balancing cultural preservation and economic advancement.