Modeling And Personalized Generation Of Combined Travel Scheme Selection Under The Background Of Air Rail Integration

With the continuous expansion of urban scale,urban transportation supply has changed from a single road transportation network to a multi-mode comprehensive transportation network of "aviation network,road network and rail network".Providing safe,fast and punctual travel plans has become an important task under the background of "transportation power".As a comprehensive transportation mode integrating the advantages of multi-mode transportation,air rail link has become a new hotspot in the development of transportation in the new era.However,the air rail link is still in its infancy in China.It is urgent to master the rules of passenger travel choice,respect passenger heterogeneity,improve transportation efficiency,optimize passenger link travel experience and promote the development of air rail integration.This thesis analyzes the travel choice behavior of air rail connecting passengers in the air rail transfer stage.Firstly,clarify the relevant factors of air rail joint travel choice,sort out the definition of influencing factors and the prediction and judgment of travel choice behavior for personal attributes,travel attributes and joint attributes.Secondly,through the D-Efficient selection experimental design method,the SP questionnaire is designed.The questionnaire is mainly composed of historical travel data,simulated scenario selection and personal attribute information.Then,based on mixed logit and cumulative prospect theory,an air rail combined travel choice model considering bounded rational decision-making and personal preference is constructed.The business travel module and leisure tourism module are set according to different travel purposes to form a comparative analysis;Finally,with the goal of utility maximization,the k-short circuit algorithm and A* algorithm are used to generate the full chain air rail combined travel scheme.In addition,targeted optimization suggestions are provided for all links of the whole chain air rail link travel to boost the development of personalized travel of link passengers.The results show that it is reasonable and necessary to include urban travel in the research scope of air rail connection.Urban travel is an important branch line connecting the airport,high-speed railway station and the origin and destination.In particular,urban travel time is an important factor affecting the choice of connection.In addition,according to the comparison between business travel scenarios and leisure tourism scenarios,it can be found that in business travel scenarios,travelers pay less attention to subsidies and travel costs than travel time,punctuality rate,transfer times,transfer waiting time and transfer walking distance;In the leisure scene,expenses and subsidies are important factors affecting travelers’ travel choices,but there is no demand for travel time and transfer times.In addition,considering the heterogeneity between passengers and the bounded rationality of travel choice,it can be found that even in the same travel scenario,different passengers have significantly different preferences for cost and time.High income and middle-aged passengers are obviously more willing to pursue the service experience of travel,while low-income groups emphasize the cost of travel.For personalized scheme generation,the recommended travel schemes for business scenes and leisure scenes are different in the same travel network.Different types of passengers have different satisfaction with travel schemes because of their different personal attributes and preferences.Therefore,by calculating the recommendation rate of different travel schemes for passengers’ reference,they can meet the personalized travel needs of passengers.