## 5 Conclusions  
Understanding the long-term changes in green visibility and equity within communities during rapid urbanization is an emerging issue in China. This study innovatively utilized the \"Time Machine\" feature to access historical street view images, combined with deep learning to detect changes in green visibility. By employing Gini coefficients and location entropy as evaluation metrics, we focused on the spatio-temporal differentiation of the equity of residents' green perceptions. We conducted an empirical study in the central urban area of Wuhan. The results indicate that from 2014 to 2021, the overall green visibility in Wuhan increased by 4.18%. High-visibility residential clusters were typically distributed along rivers and lakes, while low-visibility clusters were often concentrated around major urban roads. The Gini coefficient for Wuhan's central urban area consistently indicated inequality, with only a slow decrease over time. The JA District had the highest level of equity, while the HS District had the lowest. The spatial distribution of the LQ was related to the population and visibility distribution of the same year. Although the disparity in the distribution of green visibility resources is gradually narrowing, there remains a spatial mismatch between population growth and green space expansion. Based on the analysis of equity changes, corresponding greening improvement strategies were proposed, aimed at balancing the impact of residential differentiation on the distribution of green resources within urban spaces.  
This study highlights the disparities and lack of greenery caused by residential spatial differentiation in Wuhan's central urban areas and provides an action plan to improve green equity: (1) integrating the green visibility equity evaluation framework to guide fair planning and optimize benefit distribution; (2) reducing hardscapes and elevating roads in densely populated areas to facilitate the planting and maintenance of tall canopy trees; (3) ensuring equal green space allocation in low-income and high-income communities to curb house price surges and narrow road widths, and to promote open-block layouts. The use of time-series street view images in this study advances spatio-temporal research on visibility equity, enabling more effective planning and management of street-level urban green spaces. This approach offers actionable insights and serves as a model for rapidly urbanizing Chinese cities facing similar green space equity challenges, contributing to sustainable urban development.  
Conceptualization, X.G. and C.L.; methodology, C.L.; software, C.L. and Y.T.; validation, C.L. and S.B.; formal analysis, C.L. and S.B.; investigation, C.L. and Y.T.; resources, S.B.; data curation, C.L. and Y.T.; writing--original draft preparation, C.L.; writing--review and editing, X.G. and S.B.; visualization, C.L. and Y.T.; supervision, X.G. and S.B.; project administration, X.G. and S.B.; funding acquisition, X.G. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the National Natural Science Foundation of China (51908063) and Philosophy and Social Science Foundation of Hubei Province (21Q049).  
Not applicable.  
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.  
The authors declare no conflicts of interest.