Research On The Equilibrium Combination Model Of Urban Tourism Passenger Transport Connection Network

The choice of tourist destination after entering the city limits is often accompanied by the choice of passenger transportation mode,and vice versa.From the perspective of tourism behavior,the two promote and restrict each other,and are inseparable at the same time.Existing research usually separates tourist passenger transportation mode selection behavior and destination selection behavior,which is easy to cause problems such as inaccurate forecasting of tourist passenger demand,unreasonable interpretation of laws,and unscientific policy formulation.This paper integrates the destination selection and passenger transportation mode selection of urban tourism travel within a framework,systematically analyzes the problem of urban tourist passenger transport connection,and proposes a combination model of combined destination selection and traffic assignment(CDSTA),in order to further enrich and improve the theoretical system and application scope of the balanced combination model of transportation network,and provide a theoretical basis and scientific basis for the planning and layout of urban tourist passenger transport connection transportation and tourism supporting service facilities.Firstly,this paper studies the construction method and modeling idea of urban tourist passenger transport connection network,which provides support for the research of subsequent chapters.Starting from the analysis of the whole process of tourism travel behavior,summarize the demand characteristics and supply characteristics of tourist passenger transport connection in the city,constructs the urban tourist passenger transport connection network based on the multi-level network,give the representation method of the network and the judgment conditions of the effective route,and discusses the similarities,differences and improvements in the construction method,network carrier,network traffic and traffic impedance of the multi-destination multi-mode transportation network(MMTN)constructed in this paper compared with the conventional transportation network(RN,TN,MTN).Based on this,this paper discusses the theoretical research ideas of the equilibrium combination model of urban tourist passenger transport connection network,clarifies that the study of combined destination selection and traffic assignment(CDSTA)is carried out,and analyzes the similarities and differences and improvements between CDSTA model and conventional combination model.Secondly,in order to reflect that tourists’ choice of tourist destinations and passenger transportation modes are synchronous and mutually influencing,this paper adopts the idea of CDTA and CMSTA traffic combination model to establish a static combination model of combined destination selection and traffic assignment(CDSTA).In the case of separability and asymmetry,this paper gives the generalized cost function of the transport arc and the tourist passenger demand function with variable tourist destination,and based on the variable destination,constructs a model of multinomial logit-combined destination selection and traffic assignment(MNL-CDSTA).Considering the asymmetric situation and dividing tourist destinations into hotel classes and scenic spots,this paper establishes a double-layer tree-like nest structure for tourism destination selection,and studies variational inequality model of nested logit-combined destination selection and traffic assignment model(NL-CDSTA).The static combination model reflects the interactive influence relationship between the distribution of tourist passenger transport and the distribution of transportation modes,and reveals the balanced distribution law of dynamic transfer between tourist passenger transport connection modes in the city.It can solve the problem of predicting the total demand for tourism connection transportation in the city with multiple categories,destinations,and modes simultaneously selected.Thirdly,based on the NL-CDSTA model,this paper considers the game relationship between the supply side(government,passenger transport enterprises)and the demand side(tourists)under the crowded conditions of peak tourism period,and constructs a twotier planning model.The upper model optimizes the decision-making needs of the government and the decision-making needs of passenger transport enterprises as multiple objectives,takes the optimal adjustment value of the reception capacity of tourist destinations and the optimal adjustment value of the capacity of passenger transportation mode as the decision-making variables,and introduces the penalty function to define the decision-making goal as the saturation equilibrium of each tourist destination and the saturation equilibrium of each for-profit passenger transportation mode.Based on the NLCDSTA model,the lower model considers the service capacity limitations of tourist destinations and passenger transport enterprises under congestion,and calculates the demand for tourist passenger transport and passenger traffic flow in the equilibrium state under the service capacity constraints given by the upper target,and feeds back to the upper model.A hybrid algorithm solution model based on the nested multiplier method of clone selection algorithm improved by simulated annealing is designed,and the numerical calculation results basically reach the expected balance goal,which can guide the congestion emergency management plan service of tourist destinations during peak tourism periods,and provide theoretical basis for the planning and decision-making of tourism facility supply and transportation services.Finally,in order to reflect the temporal variability of urban tourist passenger transport in one day,based on the NL-CDSTA model,this paper studies combined dynamic destination selection and traffic assignment(CDDSTA).This paper introduces the planned delay time window to analyze the generalized travel cost with time,describes the dynamic decision-making process of tourists’ choice by hierarchical selection structure analysis,and gives a dynamic combinatorial equilibrium condition and equivalent variational inequality model,which also considers the choice of departure time,the classification selection of tourist destination and the choice of transportation mode within one day.Based on the idea of Gauss-Seidel decomposition algorithm,the solution algorithm of the model is designed.The numerical calculation results show that the planned delay penalty of the time window plays a decisive role in the travel behavior of tourists,and the research results also analyze the dynamic accumulation of transfer nodes in the urban tourist passenger transport connection network,and the numerical results can guide the management service capacity of the transfer nodes or the dynamic configuration scheme of each passenger transportation mode within one day,providing theoretical support for traffic demand regulation..