In one-way carsharing users are allowed to return cars to locations different from those where they were picked up. but directional imbalances in their requests result in the accumulation of unnecessary cars in some areas, whereas other areas face car shortages. To correct tins situation, we investigate the introduction of a new relocation service by a staff equipped with foldable motorcycles: They are driven to move to unused cars and are put inside cars, which are driven by the staff where they are requested. Although the relocation staff size can be determined by a state-of-The-Art model, it tends to overestimate the manpower maximizing the overall system profitability in a first-in first served policy. Tins paper presents an optimization model correcting this drawback. Tins model can be used to investigate how different manpower levels change the percentage of satisfied user bookings and determine the most profitable staff size configuration
