In the realm of sustainable city development, evaluating the spatial vitality of urban green spaces (UGS) has become increasingly pivotal for assessing public space quality. This study delves into the spatial heterogeneity of park vitality across diverse urban landscapes at a city scale, addressing limitations inherent in conventional approaches to understanding the dynamics of park vitality. Leveraging geotagged check-in data from 65 parks in the study case of Changsha City, a quantitative analysis was undertaken to assess spatial vitality. The investigation incorporated data concerning internal and external factors influencing park vitality, employing the Multi-scale Geographically Weighted Regression (MGWR) model to dissect nuanced spatial heterogeneity. The research uncovers notable spatial discrepancies in factors influencing park vitality across diverse urban areas, emphasizing the reliance on adjacent residential communities and internal commercial amenities provision. These dependencies correspond with economic development differences among urban locales, revealing distinct geographic trends. This study has a novel perspective and methodology for investigating urban park vitality, providing significant insights for urban green space planning and management. It emphasizes the necessity of acknowledging spatial diversity in urban park planning and design by incorporating the distinct socio-economic characteristics of each urban zone, which is crucial for both urban planners and policymakers.

Land is the carrier of human economic activities, and its utilization has a profound impact on CO₂ emissions. With the advancement of urbanization, mixed land use has become a universal feature of cities. Analyzing the impact of mixed land use on CO₂ emissions is one of the prominent premises for coordinating urban development and the ecological environment. Using information entropy of land use structure (IELUS) to reflect its mixing degree, it was found that the relationship between IELUS and CO₂ emissions presents a positive U-shaped curve. Additionally, when IELUS is less than 0.351, they are negatively correlated, and vice versa. This means that cities can appropriately shift toward a higher degree of a mixed land use pattern to alleviate their environmental pressure. Further research shows that the spatial spillover effect will dilute the impact of mixed land use on CO₂ emissions. Meanwhile, improving production efficiency and increasing public transport travel are significant ways in a mixed land use model to reduce CO₂ emissions. Overall, this study provides a reference for the rational allocation of low-carbon land use systems.

As the challenges of globalization and climate change intensify, the importance of urban resilience in city planning is becoming increasingly evident. To adapt to this trend, innovations and improvements are essential in traditional urban land-use patterns to better fulfill the requirements of resilient urban development. In this context, this study constructs an urban resilience evaluation index system from four perspectives: social resilience, engineering resilience, ecological resilience, and security resilience to evaluate the urban resilience of Changsha City. A thorough assessment of the resilience mechanisms in Changsha’s urban layout was conducted, employing the SD-FLUS model. A resilient urban scenario is also established to restrict the conversion of high-resilience land into other land types and to predict urban land-use structures under a resilience-oriented directive. The findings indicate that areas with high ecological and safety resilience in Changsha are primarily located in the western Weishan mountain system, along with eastern mountain systems like Jiuling, Lianyun, and Mufu, forming the “green veins”. The central areas are characterized by “blue veins”, mainly represented by rivers such as the Xiangjiang, Weishui, Longwanggang, Jinjiang, Liuyang, and Laodao. Within the central urban area, high-resilience regions are primarily distributed along a framework consisting of “one ring (the city’s three-ring line), two mains (Xiangjiang and Liuyang rivers), one heart (urban green core), and six wedges”, specifying various green corridors. Under the resilience-oriented scenario, the model predicts that by 2025, the total built-up area in Changsha will be 1416.79 km². Areas with high social and engineering resilience are mainly concentrated in the central urban areas of Changsha, as well as Ningxiang and Liuyang, aligning closely with the objectives of Changsha’s latest round of national spatial planning. The built-up area layout should complement Changsha’s topography and water systems, expanding in a wedge-like manner. Overall, Changsha’s planning has successfully integrated social, engineering, ecological, and safety resilience, enhancing its adaptability and long-term sustainability. This research proposes a land-use simulation method guided by the concept of urban resilience, providing valuable insights for resilience-oriented city planning in Changsha and other cities facing similar challenges.