A bi-level programming model of parking pricing is established to explore the optimal pricing mechanism of parking facilities in monopolized market. The upper model aims at optimal occupancy and maximum benefit; and the lower model is a boundedly rational nested logit model. The model assumes the travelers are bounded rational, namely they will choose randomly if the expected cost difference between two alternatives is within the indifference band. The validity of the model is verified based on sample analysis of a communication corridor. The proposed model is solved by genetic algorithm. The results indicate that the pricing strategies are different when the operator considers the bounded rationality of travelers and when they do not. Moreover, the value of the indifference threshold will affect the optimal pricing. In addition, the pricing strategy considering the parking occupancy can make the utilization of parking resources more reasonable.