On the similarities between random regret minimization and mother logit: The case of recursive route choice models

• Main Authors: MAI, Tien, BASTIN, Fabian, FREJINGER, Emma
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Route choice modeling; Recursive logit; Random regret minimization; Mother logit; Maximum likelihood estimation; Cross-validation; Artificial Intelligence and Robotics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5286; https://ink.library.smu.edu.sg/context/sis_research/article/6289/viewcontent/1_s2.0_S1755534515300385_main.pdf
• Institution: Singapore Management University

This paper focuses on the comparison of the random regret minimization (RRM) and mother logit models for analyzing the choice between alternatives having deterministic attributes. The mother logit model allows utilities of a given alternative to depend on attributes of other alternatives. It was des...