Exploration of Strategies for Enhancing the Quality of Urban Space Based on Multi-Source Data Fusion

• Published in: Buildings (Basel) Vol. 15; no. 8; p. 1258
• Main Authors: Yang, Silin, Xiang, Luyao, Yan, Yu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2025
• Subjects: Accessibility; Big Data; Cities; Data integration; Data processing; facility accessibility; facility correlation; Hypotheses; Innovations; Interdisciplinary subjects; Machine learning; multi-source data fusion; Optimization; Public spaces; Quality of life; quality of urban space; Research methodology; resident satisfaction; Sustainable development; Sustainable urban development; Technological change; Traffic congestion; Transportation systems; Urban areas; Urban development; Urban planning; Urbanization
• ISSN: 2075-5309; 2075-5309
• DOI: 10.3390/buildings15081258

This article, via empirical studies, investigates the influences of facility accessibility, facility correlation, and resident satisfaction on urban spatial quality. It is discovered that these three elements are positively correlated with urban spatial quality. Excellent facility accessibility and rational layout can elevate urban spatial quality, and resident satisfaction reflects the outcome of environmental optimization. On this basis, this article puts forward strategies of intensifying infrastructure construction, using multi-source data to optimize the transportation system, implementing humanistic care and promoting community interaction, promoting digital and intelligent management of the city, and paying attention to the cultural aesthetics of the city, with the aim of offering theoretical support and practical guidance for enhancing urban spatial quality, facilitating sustainable urban development and the improvement of residents’ quality of life.