Leveraging Advanced Mathematical Methods in Artificial Intelligence to Explore Heterogeneity and Asymmetry in Cross-Border Travel Satisfaction

Leveraging Advanced Mathematical Methods in Artificial Intelligence to Explore Heterogeneity and Asymmetry in Cross-Border Travel Satisfaction

The cross-border port serves as a crucial cross-border travel connecting mainland China with Hong Kong and Macau, directly impacting the overall satisfaction of cross-border travel. While previous studies on neighborhoods, communities, and other areas have thoroughly examined the heterogeneity and a...

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Bibliographic Details
Main Authors: Yan Xu, Huajie Yang, Zibin Ye, Xiaobo Ma, Lei Tong, Xinyi Yu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Mathematics
Subjects:
three-factor theory
advanced algorithms in machine learning
cross-border travel
k-means clustering
gradient boosting decision trees
nonlinear effect
Online Access:https://www.mdpi.com/2227-7390/13/11/1896
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