Survey and Visual Indicators for Tourism Behavior in Macao

Youcheng Wang's 2026 study integrates survey data from 519 non-local visitors in Macao with street-level visual indicators. The multimodal analysis examines relationships among destination image, perceived value, perceived risk, satisfaction, attitude, and responsible tourism behavioral intention.

Use Cases

• Model the relationship between destination image, perceived value, and attitude toward responsible tourism behavioral intention using structural equation modeling.
• Analyze how street-level visual indicators like the Green View Index and Sky View Factor correlate with tourist satisfaction and perceived risk.
• Compare zone-level descriptive patterns between visually enclosed environments, measured by the Building Enclosure Index, and higher perceived risk scores.

Strengths

• Includes survey data from 519 non-local visitors.
• Integrates multiple street-level visual indicators derived from deep learning semantic segmentation.
• Released under a permissive CC BY 4.0 license.

Limitations

• The dataset is a 674.0 KB DOCX file, containing analysis results rather than raw tabular data for direct machine learning use.
• Sample data and column definitions are unavailable, limiting immediate analytical application.
• The study's findings are contextual and not designed for formal cross-zone causal inference.

Provenance

Source

Youcheng Wang via figshare

Collection Method

Multimodal design combining survey-based behavioral modeling and deep learning-based semantic segmentation of street view imagery.

Time Range

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Freshness

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Geography

Macao