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arXiv · 2608.18657

Accounting for intra-household joint travel in agent-based transport simulations

Javaudin Lucas·Araldo Andrea·Coulombel Nicolas
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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.

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Javaudin Lucas, Araldo Andrea, Coulombel Nicolas. 2026-08-19. Accounting for intra-household joint travel in agent-based transport simulations. https://arxiv.org/abs/2608.18657

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