An exploratory study on spatial quality based on multisource street data

Addressing the limitations in current urban street space research, particularly the lack of microscale quantification and practical translation of multi-source data, this study develops a quantitative evaluation model grounded in multidimensional criteria. The research establishes conceptual definitions for street-side spatial quality and its associated multidimensional framework. The core quantification model integrates multifaceted characteristics across functional (spatial functional diversity index), environmental (visible green ratio), and social (walking space ratio) dimensions, with calibration through multi-source data. An empirical investigation was conducted on the northern segment of Longkun Road in Haikou City, employing systematic data collection techniques. Significant disparities are observed across interfaces, with peaks in spatial functional diversity and the visible green ratio contrasting sharply with troughs in pedestrian space allocation. This pattern highlights a structural imbalance between commercial-ecological development and pedestrian-oriented space provision. These findings provide a solid foundation for spatial optimization strategies, effectively bridging the gap between academic research and practical planning implementation.