Optimal Parking Location And Parking Fee In A Commute Corridor With Park And Ride Facilities

Park and ride is an effective measure of travel demand management that can effectively alleviate urban road traffic congestion. This thesis investigated parking location and parking fee optimization problems in a commute corridor with park and ride facilities in a linear monocentric city, which is connected by a railway and a highway. The research work of this thesis can provide scientific insight and theoretical basis for the planning and management of park and ride system. In concrete terms, the main contents of the thesis are summarized as follows:Firstly, this thesis proposed a parking fee optimization problem in a commute corridor with park and ride facilities, and developed a bi-level programming model to formulate the problem. The upper level problem aims to minimize the total travel cost by optimizing the parking fee in the corridor from the viewpoint of traffic managers. Meanwhile, the lower level problem depicts travelers’ route choice behavior based on stochastic user equilibrium theory under different parking fee schemes. Based on the sensitivity analysis method, Frank-Wolfe and BFGS algorithms were proposed to solve the proposed bi-level programming model to optimize the parking fee of the park and ride facilities. The proposed method can provide foundation of quantitative analysis for traffic management department. Numerical examples were presented to illustrate the model application and to show the effectiveness of the solution method.Then, another bi-level programming model was proposed to optimize parking location and parking fee in a commute corridor with park and ride facilities on the basis of previous study. Different operation modes were considered for determining the optimal parking location and parking fee schemes. The upper level problem of the proposed model aims to minimize the total travel cost of government or maximize the enterprise profit for target optimization park-and-ride location and cost. Meanwhile, the lower level problem depicts travelers’ route choice behavior based on stochastic user equilibrium theory under different parking location and parking fee schemes.. Based on the sensitivity analysis method, branch and bound algorithms were proposed to solve the proposed bi-level programming model. Numerical examples were provided to illustrate the model application and to show the effectiveness of the solution method. This study can provide decision-making tool for scientifically planning park and ride facilities system from a cost-benefit perspective.