With the rapid progression of urbanization, cities are increasingly confronted with multifaceted challenges encompassing climate change, population expansion, and resource constraints. Consequently, fostering the development of resilient cities has emerged as a pivotal imperative within future territorial spatial planning. In this paper, we searched the Web of Science Core Collection database for data related to resilient cities in the perspective of territorial spatial planning from 2004 to 2022, and conducted a bibliometric analysis using the Bibliometrix R software package. The results show that: (1) From 2004 to 2022, the number of papers in the field of resilient cities research in the perspective of land spatial planning totaled 933, with a fluctuating upward trend of annual publications. The top three journals in terms of publication are Sustainability, Cities and Landscape and Urban Planning. (2) There are 2,651 researchers from 71 countries or regions contributing to the field,with the top three authors being SHARIFI A, BRUNETTA G, and BARTHEL S, but most of the authors (90.49%) have published only one paper. In addition, developed countries have strong research strength in this field. (3) The top ten keywords in the field of resilient cities research from the perspective of territorial spatial planning are Cities/City, Resilience, Management, Ecosystem services, Climate-change, Urban, Framework, Adaptation, Governance and Space. These keywords reflect the fact that topics related to resilience management and sustainable development of urban areas are hot topics in the field. Water, Health, Geography, Demand, Decision-Making and Built Environment are the research directions of resilient cities from the perspective of future territorial spatial planning.

Rapid urbanization facilitates socioeconomic development but also exacerbates land use/cover change (LUCC), significantly impacting ecological environments. Timely, objective, and quantitative assessments of ecological quality changes resulting from LUCC are essential for safeguarding the natural environment and managing land resources. However, limited research has explored the potential interrelationships between the spatio-temporal heterogeneity of LUCC and ecological quality during urbanization. This study focuses on the Xiong’an New Area, a region experiencing rapid urbanization, utilizing the remote sensing-based ecological index (RSEI) to monitor ecological quality dynamics from 2017 to 2023. To address the computational challenges associated with large-scale regions, a streamlined RSEI construction method was developed using Landsat imagery and implemented via Google Earth Engine (GEE). A geographically weighted regression (GWR) analysis, integrated with Sentinel-2 land use data, was employed to examine the influence of LUCC on ecological quality. The findings reveal the following: (1) Ecological quality in the Xiong’an New Area has exhibited an overall positive trajectory, with improvements elevating the ecological status to above moderate levels. (2) Urban expansion resulted in a 17% reduction in farmland, primarily converted into construction land, which expanded by approximately 12%. (3) Ecological protection policies have facilitated the conversion of farmland into wetlands and urban green areas, which emerged as the principal contributors to ecological quality enhancement. (4) A positive correlation was observed between changes in ecological land and ecological quality, while a negative correlation was identified between shifts in the construction land and farmland and ecological quality. This research provides valuable scientific insights into ecological conservation and land use management, thereby establishing a foundation for the development of rational land resource planning and sustainable ecological development strategies in the Xiong’an New Area.

Rapid urbanization has facilitated socioeconomic development but has also exacerbated land use/cover change (LUCC), significantly impacting ecological environments. Timely, objective, and quantitative assessments of ecological quality changes resulting from LUCC are essential for safeguarding the natural environment and managing land resources. However, limited research has explored the potential interrelationships between the spatio-temporal heterogeneity of LUCC and ecological quality during urbanization. This study focuses on Xiong’an New Area, a region experiencing rapid urbanization, utilizing the remote sensing-based ecological index (RSEI) to monitor ecological quality dynamics from 2017 to 2023. To address the computational challenges associated with large-scale regions, a streamlined RSEI construction method was developed using Landsat imagery and implemented via Google Earth Engine (GEE). A geographically weighted regression (GWR) analysis, integrated with Sentinel-2 land use data, was employed to examine the influence of LUCC on ecological quality. The findings reveal the following: (1) Ecological quality in Xiong’an New Area exhibited an overall positive trajectory, with improvements elevating the ecological status to above moderate levels. (2) Urban expansion resulted in a 17% reduction in farmland, primarily converted into construction land, which expanded by approximately 12%. (3) Ecological protection policies have facilitated the conversion of farmland into wetlands and urban green areas, which have emerged as the principal contributors to ecological quality enhancement. (4) A positive correlation was observed between changes in ecological land and ecological quality, while a negative correlation was identified between shifts in construction land and farmland and ecological quality. This research provides valuable scientific insights into ecological conservation and land use management, thereby establishing a foundation for the development of rational land resource planning and sustainable ecological development strategies in the Xiong’an New Area.

Current research on the relationship between land use change and habitat quality and the driving factors, interactions, and future changes under multi-scenarios remains limited, especially in the ecologically fragile Yellow River Basin (YRB). Using the 2000, 2010, and 2020 land use data, we coupled FLUS with the InVEST model to analyze the relationship between land use change and habitat quality and predict habitat quality under 4 development scenarios. The driving factors were quantitatively identified by their interactive effects by utilizing Geodetector. The results showed that: (1) Overall, habitat quality of the YRB was moderate with an improving trend but exhibited significant spatial heterogeneity. The spatial distribution of habitat quality aligned closely with land use patterns. Habitat degradation showed a spatial pattern of “central-high, peripheral-low; eastern-high, westernlow”. (2) Land use was the primary driver of habitat quality differentiation (q > 0.8), with population density and GDP gaining influence. Factor interactions, especially between land use and other variables, exceeded individual effects. (3) Under the ecological space priority scenario, habitat quality improves significantly, especially in fragile zones where policy interventions are effective. Conversely, the production space priority scenario risks habitat degradation, necessitating measures to mitigate ecological pressure caused by industrial mining and urban expansion.