The Grand Canal serves as a vital water transportation route, a UNESCO World Cultural Heritage site, and an ecological corridor. It is currently undergoing coordinated transformation through infrastructure development, heritage preservation, and ecological restoration. However, existing research has primarily focused on either cultural heritage conservation or localized ecological issues, with limited attention to the spatial relationship between landscape patterns and ecological quality along the entire corridor. To address this gap, this study examines eight sections of the Grand Canal and develops a gradient analysis framework based on equidistant buffer zones. The framework integrates the Remote Sensing Ecological Index (RSEI) with landscape pattern indices to assess ecological responses across spatial gradients. A Multi-scale Geographically Weighted Regression (MGWR) model is applied to reveal the spatially heterogeneous effects of landscape patterns on ecological quality. From 2013 to 2023, landscape patterns showed a trend toward increasing agglomeration and regularity. This is indicated by a rise in the Aggregation Index (AI) from 91.24 to 91.38 and declines in both patch density (PD) from 8.45 to 8.20 and Landscape Shape Index (LSI) from 199.74 to 196.72. During the same period, ecological quality slightly declined, with RSEI decreasing from 0.66 to 0.57. The effects of PD and Shannon’s Diversity Index (SHDI) on ecological quality varied across canal sections. In highly urbanized areas such as the Tonghui River, these indices were positively correlated with ecological quality, whereas in less urbanized areas like the Huitong River, negative correlations were observed. Overall, the strength of these correlations tended to weaken with increasing buffer distance. This study provides a scientific foundation for the integrated development of ecological protection and spatial planning along the Grand Canal and offers theoretical insights for the refined management of other major inland waterways.

The COVID-19 pandemic represents a quintessential public health crisis, profoundly impacting the utilization patterns of urban green spaces through stringent quarantine and lockdown measures. However, existing research inadequately addresses specific concerns regarding future urban green spaces and tends to oversimplify population divisions. This study delves into the needs and preferences of Shanghai residents affected by the pandemic and quarantine measures, focusing on various aspects such as specific types of green spaces, facilities, landscape elements, and landscape and spatial types. Multifactorial population clustering was also performed. This study delineates the following conclusions: (1) It is imperative to afford residents access to green spaces at least once a week, even during quarantine periods. (2) Residents exhibited a preference for accessible green spaces equipped with essential amenities, favoring unobstructed vistas and plant-centric ecological landscapes during the pandemic. Additionally, there is a notable preference for private green spaces among residents. (3) Post-pandemic, the “affluent” group displays a heightened overall demand for green spaces, the “middle-class” group shows a conspicuous inclination towards specific green space landscape elements, while the “low-income” group consistently exhibits a low preference for green spaces during and after the pandemic. This study underscores the necessity of developing human-centric green spaces to promote equity and resilience in the face of future emergencies, rooted in residents’ preferences amidst public health crises.