Constructing an ecological security pattern (ESP) is an important means to describe, manage, and control ecological security. However, there are few related studies on functional analyses and evaluations of landscape elements, and the distribution of identified elements cannot fully reflect reality. To accurately depict ecological security and strengthen the role of landscape planning for policy formulation, we used the spatial distribution patterns of ecosystem services to adjust the ecosystem service value to accurately identify the distribution of ecological sources. The gravity model and Centrality Mapper tool are used to build an “importance–connectivity” index that evaluates the importance of ecological corridors in linking the sources and the contribution to maintaining the overall connectivity of ecological networks. The results show that (1) spatial heterogeneity exists in seven kinds of ecosystem services in Sichuan Province, China, and the high-level areas are concentrated in the central region. Moreover, (2) a total of 179 ecological sources and 445 ecological corridors with woodland and grassland as the main land use types are identified, and (3) a total of 153, 49, 78, and 165 corridors are divided into high importance–high connectivity, low importance–high connectivity, high importance–low connectivity, and low importance–low connectivity ecological corridors, respectively. The study provides a new framework for the construction of an ESP and for the priority evaluation of ecological corridors. To achieve balance between economic development and environmental protection, priority should be given to the protection of high-priority corridors when maintaining ecological security.

Quantitative assessment of urban vibrancy is crucial to understanding urban development and promoting sustainability, especially for rapidly developing areas and regions that have experienced post-disaster reconstruction. Taking Dujiangyan City, the hardest-hit area of the earthquake, as an example, this paper quantifies the urban economic, social, and cultural vibrancy after reconstruction by the use of multi-source data, and conducts a geographic visualization analysis. The purpose is to establish an evaluation framework for the relationship between the urban built environment elements and vibrancy in different dimensions, to evaluate the benefits of post-disaster restoration and reconstruction. The results show that the urban vibrancy reflected by classified big data can not be completely matched due to the difference in the data generation and collection process. The Criteria Importance Though Inter-criteria Correlation and entropy (CRITIC-entropy) method is used to construct a comprehensive model is a better representation of the urban vibrancy spatial characteristics. On a global scale, comprehensive vibrancy demonstrates high continuity and a bi-center structure. In the old town, the distribution of various urban vibrancies show diffusion characteristics, while those in the new district demonstrated a high degree of aggregation, and the comprehensive vibrancy is less sensitive to land-use mixture and more sensitive to residential land.