A paper titled Safety effects of take-over requests on vehicle conflicts in realistic mixed traffic simulation authored by Marios Sekadakis, Maria Oikonomou and George Yannis has been published in Accident Analysis & Prevention. This Paper investigates how take-over-related dynamics in Automated Driving (AD) influence safety interactions in mixed traffic using a spatial Generalized Additive Model (GAM) applied to a calibrated microsimulation of a real highway corridor in central Greece. Methodologically, this study combines microsimulation, SSAM-based surrogate safety analysis, and multivariate spatial GAM modeling to quantify TOR effects on AD-Human Driven Vehicle (HDV) interactions at the network level. The findings suggest that higher automation shares and speed limits were associated with longer Time-to-Collision (TTC) , reflecting smoother and more stable interactions, whereas take-over events consistently reduced TTC regardless of Time Budget (TB), confirming elevated short-term risk during control transitions. Furthermore, automation benefits scale with market share but are constrained by transition management and roadway geometry, emphasizing the importance of spatially aware, take-over-sensitive safety strategies in mixed traffic.