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Accounting for Intra-Household joint Travel in Agent-Based Transport Simulations

Author

Listed:
  • Javaudin Lucas

    (IP Paris - Institut Polytechnique de Paris, TSP - RST - Département Réseaux et Services de Télécommunications - TSP - Télécom SudParis - IMT - Institut Mines-Télécom [Paris] - IP Paris - Institut Polytechnique de Paris, NeSS-SAMOVAR - Network Systems and Services - SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux - TSP - Télécom SudParis - IMT - Institut Mines-Télécom [Paris] - IP Paris - Institut Polytechnique de Paris, LVMT - Laboratoire Ville, Mobilité, Transport - Université Gustave Eiffel - ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris)

  • Andrea Araldo

    (IP Paris - Institut Polytechnique de Paris, TSP - RST - Département Réseaux et Services de Télécommunications - TSP - Télécom SudParis - IMT - Institut Mines-Télécom [Paris] - IP Paris - Institut Polytechnique de Paris, NeSS-SAMOVAR - Network Systems and Services - SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux - TSP - Télécom SudParis - IMT - Institut Mines-Télécom [Paris] - IP Paris - Institut Polytechnique de Paris)

  • Coulombel Nicolas

    (LVMT - Laboratoire Ville, Mobilité, Transport - Université Gustave Eiffel - ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris)

Abstract

Intra-household joint home-based tours - trips in which household members depart together, engage in shared activities, and return together - represent a significant share of daily travel, yet are systematically ignored in transport simulations. Conflating joint and solo tours within a single mode choice framework introduces bias in preference parameter estimates. This paper proposes a three-step methodology to integrate joint tours in agent-based transport models: a Random Forest classifier to identify joint tours, a Multinomial Logit model estimating mode choice specific to joint tours, and a Penalized Logistic Regression for driver/passenger assignment. Applied to the Paris region using household travel survey data, the methodology successfully replicates observed joint tour shares and mode distributions in a synthetic population. The proposed framework enables more reliable evaluation of policies whose impacts differ between joint and solo travel, such as HOV lanes or family transit fare discounts.

Suggested Citation

  • Javaudin Lucas & Andrea Araldo & Coulombel Nicolas, 2026. "Accounting for Intra-Household joint Travel in Agent-Based Transport Simulations," Working Papers hal-05721741, HAL.
    • Handle: RePEc:hal:wpaper:hal-05721741
    DOI: 10.48550/arXiv.2608.18657
    Note: View the original document on HAL open archive server: https://hal.science/hal-05721741v1
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