Landscape ecological security assessment aims to make a comprehensive evaluation of regional landscape ecological security through the construction of regional ecological security evaluation indicator system. According to the theory of landscape ecology, spatial principal component analysis (SPCA) and GIS techniques, we obtained the distribution of landscape ecological security pattern of Ganzhou District, Gansu province, China. We obtained the ecological sources, corridors, and nodes according to the minimum cumulative resistance (MCR) model to optimize the structure and function of ecological function network. The following results were found: the comprehensive landscape ecological security situation of the research area was on the average. The spatial distribution pattern of landscape ecological security level indicated that the low level of safety were mainly distributed in the Gobi and desert areas in the north, accounting for 19.9% of the study area, while the high safety level was mainly distributed in the northwest and southeast of the Heihe River basin, accounting for 24.8% of the study area. With points, lines, and surfaces being interlaced, a regional ecological network was constructed, which was consisted of six ecological corridors, 14 ecological nodes, a large ecological source area and a plurality of small source areas, and could effectively improve landscape ecological security level of the study area.

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