Research On The Optimal Strategy Of Long-distance Travel Based On Maximizing Passenger Utility

As the economy in our country constantly develops and the transportation infrastructure is constantly perfected,it has promoted the increasingly diversified development of the travel needs of passengers.What’s more,people have higher requirements for travel efficiency,cost,comfort and so on.Passengers face the choic of multiple modes such as single direct travel and combined travel in the medium and long-distance passenger transportation system where aviation and high-speed railway coexist.However,a certain amount of time and resources are needed to make the selection of the most suitable travel mode and route from the complex transportation network,so that the multi-objective collaboration can be realized.To solve the problems faced by the medium and long-distance passengers such as the difficulty in travel planning,the lack of personalization for the planning scheme and so on,the more targeted and precise travel plans are provided for passengers.The maximization of the passenger’s utility is taken as the goal of this thesis and the optimal strategy for passengers’ medium and longdistance travel is studied.The following is the main research work:Firstly,the deep analysis on the passenger’s choice behavior of medium and longdistance travel is conducted.The travel modes of passengers are divided into inter-city travel modes and intra-city transfer modes for analysis by starting from the perspective of passengers.In the meantime,the influencing factors of passengers’ travel choice behavior are systematically analyzed and refined through literature research and expert consultation,and the combination of qualitative and quantitative research method is adopted to extract 5 key influencing factors such as travel costs,travel time,travel comfort,travel convenience and travel reliability.The qualitative indicators such as comfort,convenience and reliability are quantified by time for the purpose of solving the problem of inconsistent dimensions of influencing factors.The measurement of comfort is made by the average fatigue recovery time of passengers,the measurement of convenience is made by the superposition of pre trip time,transfer traffic time,fixed process time and transfer waiting time,and the measurement of reliability is made by the average delay time of transportation mode.The passenger time value is adopted for the transformation of generalized cost,so the foundation is laid for the construction of travel utility model later.Secondly,the establishment of a medium and long-distance passenger air-rail composite supernetwork model is conducted.By referring to complex network theory and supernetwork theory,the cities where the high-speed railway station and airport are located are taken as nodes,the two nodes with direct flights or high-speed rail way are connected,the three networks of aviation sub-network,high-speed railway sub-network and transfer network are constructed.The medium and long-distance passenger network is formed by the aviation subnetwork and high-speed railway sub-network under the connection of the transfer network,which is defined as an air-rail composite supernetwork.By taking advantage of software such as Gephi,the air-rail composite supernetwork topology diagram is drawn,which is the network basis for the travel utility model solution later.Thirdly,the utility model of travel choice for medium and long-distance passengers is constructed and the solution algorithm is designed.On the basis of the quantified influencing factors,the introduction of the weight coefficients of the influencing factors is conducted.Through the linear weighting method,the multi-objective planning is transformed into a single-objective planning problem.The construction of the travel utility functions of timesensitive and price-sensitive passengers is conducted.The analytic hierarchy process is used to determine the weight coefficients.Based on the constructed air-rail composite supernetwork model,a path search algorithm for model solving is designed by adopting a deep traversal search algorithm and Dijkstra method.Finally,the example analysis is carried out by selecting two typical city pairs of "TianjinChengdu" and "Beijing-Guangzhou",so that the feasibility and effectiveness of the model and algorithm can be verified.According to the actual operation data of high-speed railway and civil aviation crawled by Python,the finding of solution for the model is made to obtain the optimal travel plan for time-sensitive and price-sensitive passengers under different travel modes,so the practical application value of this thesis can be proved.