The increase of ride-hailing vehicles' presence on roads has significantly reshaped transportation network dynamics. In the absence of regulations, there is a potential for a decline in service quality and overall network efficiency due to ride-hailing operations. This study employs simulation to investigate the efficiency of a specific regulation penalizing rides without passengers, aiming to mitigate the negative effects of ride-hailing services. Various simulation scenarios are developed, integrating the proposed regulation, and evaluated using the MnMs (multimodal network modeling and simulation) framework from the LICIT-Eco7 research laboratory (Gustave Eiffel University, France). Results indicate that the regulation positively impacts service quality by reducing user waiting times but increasing the cancellation rate. Notably, system performance is significantly enhanced by decreasing idle kilometers traveled by vehicles. Furthermore, we show that the regulation's effectiveness is influenced by factors such as the proportion of a company's fleet size and the level of demand.