With the growing awareness of green transportation, electric scooter sharing is emerging as a prominent complement to public transit systems in urban areas worldwide. However, the battery requirements of e-scooters complicate the challenges of operational management for scooter-sharing systems. In addition to relocation issues, operators face the simultaneous tasks of collecting depleted e-scooters, recharging them, and redistributing fully charged ones. This paper presents a discrete event simulation model to support decision-makers in evaluating the impact of various rebalancing strategies before their implementation. A sophisticated model comprising six modules has been developed to comprehensively capture the nuanced dynamics inherent in e- scooter sharing systems and the intricate interactions among system components. The modules encompass infrastructure, trip generation, station management, state of charge dynamics, rebalancing, and financial assessment, which together provide a holistic view of the system’s intricacies. The proposed model has been successfully applied to the electric scooter sharing system in Mashhad, Iran, and the system’s performance has been evaluated across different scenarios through extensive numerical experiments. The study’s findings underscore the pivotal role of rebalancing strategies in influencing system performance metrics including user satisfaction, operational efficiency, and financial outcomes

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