What type of study is this?

This is a Cohort Study study (also classified as: Experimental Study).

October 2, 2025PeerJ Computer ScienceOpen Access

A planning model for dedicated tourist bus routes based on an improved genetic-greedy algorithm and machine learning

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This model improves tourist bus routes in Tibet by enhancing visitor satisfaction and utilizing machine learning algorithms effectively.

The optimized route planning model achieved a 94.6% satisfaction rate among tourists in Tibet, indicating its effectiveness.
Using a modified Genetic-Greedy Algorithm improved convergence speed by 94.489% compared to standard approaches.
The model incorporates machine learning techniques such as support vector machine and adaptive boosting to analyze tourist sentiment.
Integration of analytic hierarchy process with the TOPSIS model identified key satisfaction factors for better route planning.

Cui et al. (2025) studied this question.

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October 2, 2025PeerJ Computer ScienceOpen Access

View Full Paper

Ask AI

Bookmark

Authors

This model improves tourist bus routes in Tibet by enhancing visitor satisfaction and utilizing machine learning algorithms effectively.

The optimized route planning model achieved a 94.6% satisfaction rate among tourists in Tibet, indicating its effectiveness.
Using a modified Genetic-Greedy Algorithm improved convergence speed by 94.489% compared to standard approaches.
The model incorporates machine learning techniques such as support vector machine and adaptive boosting to analyze tourist sentiment.
Integration of analytic hierarchy process with the TOPSIS model identified key satisfaction factors for better route planning.

Cui et al. (2025) studied this question.

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