Holiday travel behavior analysis and empirical study with Integrated Travel Reservation Information usage

摘要

The efficient travel demand management is more important than traffic congestion control. Currently, tour reservation system (TRS) based on demand response has become a significant part of travel demand management. The Integrated Travel Reservation Information (ITRI) released by TRS plays an important role in the decision-making process of tourist's holiday travel destination and departure time choice behaviors, which is seldom investigated. To fill this gap, this paper explored the feedback mechanism among the ITRI usage, tourism utility of various alternatives and tourist decision-making behavior based on the Engel-Kollat-Blackwell (EKB) consumer purchase decision-making model. To quantify the impact of ITRI on travel behavior, a revealed preference and stated preference survey were designed and carried out in China. The data show about 80% of tourists are concerned about the information of tickets sold ratio. Nested Logit (NL) model for the joint choice of destination and departure time was established, which accounted for the impact of TRS and ITRI on the utility of alternatives. The NL model results reveal that tourist's age, education level, number of visits, ITRI content, ITRI query method and the tickets sold ratio have significant effects on destination and departure time choice. Especially, sensitivity analysis results reveal that when the tickets sold ratio reaches 65%, 75%, 85% and 95% respectively, every 1% growth of tickets sold ratio is accompanied by 2.858%, 2.877%, 3.015% and 3.362% increase in the probabilities of traveling during non-holiday periods. Therefore, tourists are encouraged to travel during non-holiday periods by tickets sold information release, which can achieve the rational allocation of tourism resources and enable to make maximum use of tourism resources. Further, the results can provide a basic data for development of the tourism demand management and equilibrium of the tourist's spatial and temporal distribution.