A Paper titled “Network-Level Traffic and Safety Effects of Automated Vehicle Market Penetration Under Take-Over Events: A Microsimulation Study” authored by Marios Sekadakis, Dimitrios Nikolaou and George Yannis has been published in Future Transportation. This Paper investigates the network-level traffic and safety effects of increasing Market Penetration Rate (MPR) of SAE Level 2 and Level 3 automated vehicles under take-over conditions. Traffic performance was assessed through five network-level indicators (speed, delay, lane-changing frequency, travel time, and density). Safety was evaluated through 674 conflict events extracted via the Surrogate Safety Assessment Model (SSAM), using Time-to-Collision (TTC) as the primary indicator. MPR is the dominant feature of both dimensions. The findings show that Spearman correlations between MPR and the traffic indicators are very strong for speed, lane changes, travel time, and density, while delay time yields a weaker correlation reflecting its non-monotonic response. Furthermore, traffic costs of mixed-traffic automation appear at partial penetration, while network-level safety benefits remain limited and non-linear.