The Study Of Dynamic Pricing For Reservation-Based Parking System

In recent years,the ration of car using has gradually increased.With limited parking resources and inflexible parking prices,parking problems in big cities have become increasingly serious.With the arrival of the Internet era and the improvement of city intelligence,parking reservation has become one of the most effective ways to solve the parking problem.Most of the existing parking lots use the Service form of first-come,first-served and charge the fixed-fee.This constant business mode is very difficult to cope with the future of parking management,and also limits the benefits of parking operators.In order to optimize the management of parking resources and increase the benefits of parking,it is necessary to study the pricing problems under the parking reservation system.Therefore,this paper will study the dynamic pricing strategy of profitable parking lot reservation system based on the concept of revenue management,and the traveler's sensitivity to parking reservation prices in each advanced period,so as to determine the appropriate price for the reservation-based parking lots.This study first analyzes the research status of parking pricing,parking reservation,revenue management and dynamic pricing both at home and abroad.Collecting and analyzing the current status of parking reservation mode and the status of parking fees,the study analyzes existing problems and establishes the model of parking reservation mode.Secondly,this paper analyzes the influence mechanism of parking fees in the parking reservation system on the choice behavior of the travelers.Considering the heterogeneity of the travelers,this paper classifies the traveler,and gives the perceived utilities of different types of travelers on different travel modes based on the prospect theory.Then,a selection probability model is constructed for different travel modes based on perceived utility.According to the traveler's arrival rate of each scheduled time period and the selection probability of car transportation,the allocated quantity of parking reservation is calculated.Using the parking reservation prices in each parking service time period in each reserved period used as decision variables,given the periodic objective functions,constraints,and boundary conditions,a parking reservation dynamic pricing model is constructed based on the dynamic programming theory.The study uses the neural network-based AC algorithm to solve the model and get the optimal dynamic reservation price in each reserved period,in order to achieve the goal of maximum profit for parking operators.Finally,taking the Guangzhou downtown area as an example to conduct a case study of the parking reservation dynamic pricing model,the study analyzes the pricing strategies obtained by the model and discusses the impact of different traveler proportions on the model,verifies the practicality and feasibility of the construction model.It provides theoretical support for the application of dynamic pricing strategies for parking reservations and provides reference for parking operators to formulate pricing strategies.