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January 1, 2026International Journal of Information QualityOpen Access

Spatio-Temporal Attention LSTM Model for Tourist Behaviour Prediction and Smart Tourism Route Optimisation

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Key Points

To develop a model that predicts tourist behavior and optimizes travel routes using spatio-temporal data.
Utilized spatio-temporal attention mechanisms
Implemented LSTM (Long Short-Term Memory) architecture
Analyzed tourist behavior data from various sources
Optimized routes based on predicted behavior patterns
Successfully predicted tourist routes with high accuracy
Optimized travel paths, reducing time by significant margins
Enhanced user experience in smart tourism applications

Implication

This model predicts tourist behavior and optimizes routes, suggesting improvements for smart tourism applications.

Abstract

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Cite This Study

Hongling Wang (2026) studied this question.

synapsesocial.com/papers/69e5c33703c2939914029140 https://doi.org/10.1504/ijiq.2026.10077816

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