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Gipuzkoa Choice Modeling

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Iñigo Azcarate

Iñigo Azcarate

by Sarah Beckmann

July 24, 2026

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The project aims to reduce CO₂ emissions related to mobility. It focuses on supporting local governments in making informed decisions about sustainable transport policies, using a machine learning model based on Random Forest to predict how different interventions affect transport mode choice and emissions.

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Mode Choice Modeling for Sustainable Regional Commuting Using Machine Learning: A Case Study in Gipuzkoa, Spain

I. A. Urrutia, N. C. Sanchez, D. Antonelli, L. Alonso and K. Larson, "Mode Choice Modeling for Sustainable Regional Commuting Using Machine Learning: A Case Study in Gipuzkoa, Spain," 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), Edmonton, AB, Canada, 2024, pp. 2125-2130, doi: 10.1109/ITSC58415.2024.10919588.
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Mode Choice Modeling for Sustainable Regional Commuting Using Machine Learning: A Case Study in Gipuzkoa, Spain

I. A. Urrutia, N. C. Sanchez, D. Antonelli, L. Alonso and K. Larson, "Mode Choice Modeling for Sustainable Regional Commuting Using Machine Learning: A Case Study in Gipuzkoa, Spain," 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), Edmonton, AB, Canada, 2024, pp. 2125-2130, doi: 10.1109/ITSC58415.2024.10919588.
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