Data Random Utility Maximisation Model Considering the Information Search Process

Description

This dataset and code enable the estimation of the outputs reported in the RUM-DFT model. It includes 20 simulated choice datasets representing the information search process and the RUM-DFT-ISP.R script to replicate the RUM-DFT-ISP values reported in the paper. Additionally, the dataset provides the complete Swiss Metro data and the corresponding code to replicate the outputs of the empirical case study. If you use this dataset or code in your research, we kindly request that you cite the corresponding paper. For any questions or additional information, please contact us at g.n.nova@tudelft.nl

Steps to reproduce

For reproducibility, users are advised to run the provided code without any modifications. This will ensure that the results match those reported in the paper. However, if users wish to modify the code or generate other datasets, those may generate similar but not identical results, allowing for further experimentation and exploration of the model’s behavior under varied conditions. For other variants of the models and extensive detailed of the model, you can check the GitHub repository https://github.com/gnova3/RUM_DFT/tree/main

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