Architectural heritage exhibits complex multiscale organization, yet building-scale comparison remains difficult. This study develops a reproducible multifractal framework to quantify and compare 30 iconic historic buildings. For each case, two standardized 2D views are analyzed—a floor plan and a vertical drawing—each represented at two levels, prototype and refined. Multifractal spectra are estimated by box counting, summarized through spectral descriptors, and examined by hierarchical clustering. Across the dataset, generalized dimensions satisfy D ₀ > D ₁ > D ₂ , while refined representations show higher q–D ( q ) levels and right-shifted α–f ( α ) distributions, indicating greater space filling and stronger geometric integration. In both plan and vertical representations, clustering yields three interpretable families and nested subtype structures, with silhouette analysis serving as auxiliary validation of these comparative groupings. Overall, multifractal spectra provide a consistent basis for documenting, comparing, and digitally archiving the multiscale morphological organization encoded in standardized architectural drawings.

Urban vitality varies systematically within the day, yet its time-specific associations with stable built-environment conditions remain insufficiently understood at fine spatial scales. This study examines two-hourly urban vitality in central Zhengzhou, China, using Baidu Heatmap-derived activity intensity and multi-source built-environment data at the parcel scale. Twelve two-hourly MGWR models form the primary analysis, identifying temporal changes in the direction, magnitude, and spatial distribution of local associations. A daily mean MGWR model with the same independent variables serves as an aggregate benchmark. Results show that: (1) vitality exhibited a clear daily pulse while retaining a persistent center–corridor–node structure, with Global Moran’s I ranging from 0.508 to 0.562; (2) the two-hourly MGWR models explained 69.1–81.8% of spatial variation, compared with 39.2–66.1% for OLS, while the daily mean MGWR achieved an R² of 0.791; and (3) relative to the benchmark, the two-hourly coefficient distributions revealed variable-specific association windows, directional transitions, and changing local dispersion across transportation, land-use, and facility variables. These findings establish the added interpretive value of two-hourly analysis, support time-sensitive management, and provide diagnostic evidence on how observed daily activity patterns are distributed in relation to stable urban configurations.