Research On Capacity Matching Optimization Of Multi-Transportation Modes On Landside Of Large Airports

In recent years,with the enrichment of residents’ material life,the development of China’s air transport industry has been on the rise,and the number of passenger trips has been increasing steadily year by year,which puts forward higher requirements for the optimization of the transportation capacity of various transportation modes on the land side of large airports.However,there are some common problems in landside transportation of most large airports in China,such as unreasonable allocation of transportation resources by enterprises,low frequency of travelers taking public transportation,and uncoordinated operation of various transportation modes.Therefore,in order to study the capacity matching optimization problem of multiple transportation modes on the landside of large airports,this paper takes the optimization of the proportion of landside transportation modes,the improvement of the efficiency of the landside transportation operation system,and the improvement of the quality of passenger transfer services as the starting point,adopts the method of mathematical modeling to build a capacity matching optimization model for multiple transportation modes on the landside of large airports.The model is used to solve the optimal solution of the transport capacity matching optimization scheme.First of all,this paper collects passenger volume of Beijing Daxing International Airport and passenger traffic data of various transportation modes on the land side of Daxing International Airport,excavates one-day arrival and departure passenger flow rules of the airport within a month,and selects an ordinary working day for passenger flow analysis of multiple transportation modes.Further study the operation characteristics of different transportation modes such as taxis,private cars,airport buses,rail transit,intercity railways,etc.,and obtain the overall characteristics of various modes of transportation on the landside of the airport.Secondly,this paper analyzes the influencing factors of transportation mode choice behavior from three aspects: personal factors,travel characteristics and service level characteristics.Taking travel time,travel cost,punctuality,comfort and convenience as considerations,and under the premise of giving basic assumptions,a multi-transportation mode selection utility function is constructed.Thirdly,after determining the selection utility function and comprehensively considering the characteristics of coordination and service level of various transportation modes,this paper establishes a bi-level programming model for the capacity matching optimization of multiple transportation modes on the landside of large airports,and uses genetic algorithm and MSA algorithm to solve it quickly.In order to minimize the sum of enterprise operating cost,passenger waiting and travel cost,the upper model solves the optimal value of the departure interval of public transport lines and the number of taxis available for service per unit time.The lower layer model is based on SUE-Logit model to optimize and solve the passenger flow distribution results of all modes of transportation.Finally,taking Beijing Daxing International Airport as an example,this paper conducts a case study on the capacity matching problem of multiple transportation modes on the land side.The research results show that the bi-level programming model constructed in this paper can effectively optimize the allocation of airport transport capacity resources,so as to achieve the purpose of improving operation efficiency and service level.There are 24 figures,18 tables,and 54 references.