Assessment of Influence Mechanisms of Built Environment on Street Vitality Using Multisource Spatial Data: A Case Study in Qingdao, China

Street vitality is a significant indicator of city’s capacity for sustainable development. Significant progress has been made on the basis measurements single street vitality, but few studies have used multisource data to measure in comprehensive way. In this study, order explore multidimensional characteristics streets, streets were taken as analysis unit, and Technique Order Preference by Similarity an Ideal Solution (TOPSIS) evaluation model with combined weights was identify spatial pattern from social, economic, cultural dimensions using such Baidu heat map, Meituan store rating, facilities points interest main urban area Qingdao City, China. Using Multiscale Geographically Weighted Regression (MGWR) model, correlations differences between built environment components examined, reveal influence mechanism creation each street. The study found that City exhibits differentiation features “weak east–west, strong central, multicenter, cluster type”. Furthermore, although commercial public services are essential enhancing attracting crowds, very high degree functional mix not resulted vitality. Lastly, heterogeneity factors necessitates considering positioning development street, tailoring local conditions policies, street’s status needs, complementing strengths, promoting coordinated development, releasing Therefore, it its influencing mechanisms improve people’s quality life promote