Tourism experience has great impact on the tourist satisfaction, and therefore, tourists pay more attention to the tourism experience utility of the tour. The present problem is how to plan the tour route to maximize tourism experience utility considering tourists' preference of attraction, time, and cost budgets. The utility function for the tourism experience, consisting of utilities of tourism activities and travel, was proposed. An optimization model for tour route planning was established with the objective function of the tourism experience utility. Then, the computational method to obtain the optimal solution was given, and the feasibility of the method was validated by an example of a tourism transportation network. Finally, sensitivity analyses were conducted by varying the parameters of the tourism experience utility. The results showed that the tourists' preference of attraction, degree of attention to travel time, and travel cost had great influence on the tour route planning. The tourists with high value of time tend to choose transportation mode with shorter travel times, and the tourism experience utility of the tourists with high value of time was higher than that of the tourists with low value of time.
In this study, a stochastic user equilibrium model on the modified random regret minimization is proposed by incorporating the asymmetric preference for gains and losses to describe its effects on the regret degree of travelers. Travelers are considered to be capable of perceiving the gains and losses of attributes separately when comparing between the alternatives. Compared to the stochastic user equilibrium model on the random regret minimization model, the potential difference of emotion experienced induced by the loss and gain in the equal size is jointly caused by the taste parameter and loss aversion of travelers in the proposed model. And travelers always tend to use the routes with the minimum perceived regret in the travel decision processes. In addition, the variational inequality problem of the stochastic user equilibrium model on the modified random regret minimization model is given, and the characteristics of its solution are discussed. A route-based solution algorithm is used to resolve the problem. Numerical results given by a three-route network show that the loss aversion produces a great impact on travelers' choice decisions and the model can more flexibly capture the choice behavior than the existing models.
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