With the rapid development of self-service tourism,the travel demand of selfservice tourists has become an important part of urban travel demand.The travel behavior of tourists based on the trip chain are affected by the internal and external control information such as tourist attractions flow control schemes.And then Tourists have adjustment behavior and trip chain are reconstructed.The reconstruction characteristics of the trip chain and the trip chain after reconstruction reflect the characteristics and laws of tourists’ travel behavior,and the effects of various demand management strategies.It is necessary to study the characteristics of tourists’ travel behavior based on the mechanism of tourists’ choice behavior and trip chain reconstruction.The research results have a certain significance for understanding the travel characteristics of tourists ang regulating travel demand.This paper selected urban self-service tourists for the study,and the travel notes was the data source.The characteristic indexes of tourist trip chain and trip chain reconstruction were sorted out.The decision-making process and mechanism of tourist trip chain choice behavior and reconstruction were analyzed,and the effect of various influencing factors on tourist’ trip chain choice behavior and trip chain reconstruction were proposed.Based on the effect theory and the utility theory,the models were established to verify the relationship between various influencing factors and the reconstruction of trip chain,and explore the influence of various factors such as the companionship type and travel time on the characteristics of tourists’ trip chain choice behavior.Based on the design and investigation of travel notes data acquisition scheme,the social and economic attributes,tourism attributes,travel attributes,information demand attributes characteristics of trip chain and characteristics of trip chain reconstruction of tourists were obtained.The structural equation model was built to study the effect of regulatory information on time and space reconstruction and structure reconstruction of tourist trip chain.The results show that tourism attributes,travel attributes and internal and external regulatory information have a direct impact on the reconstruction of trip chain.The path coefficients with the space-time reconstruction are-0.21,0.06,0.34 and 1.12 respectively,and the path coefficients with the structure reconstruction are-0.01,-0.05,0.30 and 1.04 respectively.Both internal and external regulatory information path coefficients are positive,which indicate that the more travel regulation information tourists receive,the more likely they have trip chain reconstruction behavior.Different travel regulation information has a different influencing degree on the characteristics of the trip chain.The influencing degree of travel regulation information on the time and space characteristics of the trip chain(0.34 and 1.12)is greater than the structure characteristics of the trip chain(0.30 and 1.04),and the influencing degree of external regulation information(1.12 and 1.04)on the characteristics of the trip chain is greater than internal regulation information(0.34 and 0.30).Meanwhile,the tourist trip chain complexity and travel mode choice behavior model based on the Nested Logit model was built.The results show that the factors such as the trip days,the companionship type,the times of sightseeing,departure sites,travel time have an effect on tourist’s choice behavior.The more children the tourists carry,the more likely they are to use cars as the major travel mode.With the expansion of accommodation from the central area of Beijing(Second Ring Road)to the outer edge,tourists are more likely to choose a complex chain.The results of elasticity analysis show that the longer the travel time is,the lower the probability of choosing public transport travel is.When the total travel time is divided into seven time periods with 60 minutes as the time interval,for every 1% increase in travel time,the probability of public transport being selected as a major mode decreases by2.82%、5.15%、6.79%、6.71%、7.32%、9.15%、24.14% respectively.The results of the study have a significance to understand and grasp the travel behavior of tourists,improve the tourist experience. |