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Data · dataset · 2025

Data Random Utility Maximisation Model Considering the Information Search Process

Listed in Teesside University Research Data Repository

This dataset and code enable the estimation of the outputs reported in the RUM-DFT model.

Description

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. Nova, G., Guevara, C. A., Hess, S., & Hancock, T. O. (2025). A random utility maximisation model considering the information search process.

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Transportation Research Part B: Methodological, 199, 103264. For any questions or additional information, please contact us at g.n.nova@tudelft.nl

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Where it is published

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