A regret-based route choice model with asymmetric preference in a stochastic network

Abstract

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.

A Reliability-Based Traffic Equilibrium Model with Boundedly Rational Travelers Considering Acceptable Arrival Thresholds

“…Their experiment results indicate that travelers pay more attention to travel time reliability compared to travel time [14]. Furthermore, prospect theory-based and regret theory-based route choice models with travel time reliability were also developed to describe travelers' route choice behavior and network performance [15][16][17][18][19][20][21].…”