Evaluation of Space Vitality of Urban Commercial Street Based on Machine Learning in Digital Economy

With the rise of the digital economy, the evaluation of spatial vitality of urban commercial streets is no longer limited to traditional economic indicators, but has expanded to multiple dimensions such as social interaction, cultural diversity, and environmental comfort. This article uses machine learning algorithms to construct a comprehensive evaluation model for the spatial vitality of urban commercial streets, aiming to provide a quantitative and systematic evaluation tool for urban planners and decision-makers. Research has shown that economic vitality, social vitality, cultural vitality, environmental vitality, and transportation vitality are key dimensions that affect the spatial vitality of commercial streets. Among them, market prosperity in economic vitality, activity satisfaction in social vitality, creative industry innovation in cultural vitality, environmental comfort in environmental vitality, and public transportation accessibility in transportation vitality are the most important indicators. The research results of this article not only provide practical guidance for enhancing the vitality of urban commercial streets, but also provide theoretical support for the sustainable development of cities.