Historic buildings are an important category of built heritage, but evidence on their coordination with tourism is often based on local cases. Of 143 candidate city-level units, 127 were retained after screening. This study examines 1176 historic-building records and their relationships with domestic and international tourism. The analysis combines spatial analysis, a coupling coordination degree (CCD) model, repeated nested cross-validation, province-grouped validation, and SHAP interpretation of held-out Random Forest predictions. Scale sensitivity is substantial: population-normalized CCD matches baseline classes in 35.4% of domestic and 48.8% of international cases, versus 76.4 and 83.5% under administrative-area normalization. Thirty-six cities (28.3%) shift high/low resource–tourism typology between markets. Predictive generalization is weak: across 100 outer folds, Random Forest yields R ² = 0.028 ± 0.228 domestically and 0.065 ± 0.223 internationally, with negative province-grouped R ². Held-out SHAP rankings are most stable for CLCD/DEM domestically and GDP/SHDI internationally, supporting cautious, non-causal interpretation.
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Fan et al. (2026) studied this question.
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