Dynamic preference-based multi-modal trip planning of public transport and shared mobility

Yimeng Zhang, Oded Cats and Shadi Sharif Azadeh

Transportation Research Part E: Logistics and Transportation Review, 2025, vol. 202, issue C

Abstract: The shift from private vehicles to public and shared transport is crucial to reducing emissions and meeting climate targets. Consequently, there is an urgent need to develop a multi-modal transport trip planning approach that integrates public transport and shared mobility solutions, offering viable alternatives to private vehicle use. To this end, we propose a preference-based optimization framework for multi-modal trip planning with public transport, ride-pooling services, and shared micro-mobility fleets. We introduce a mixed-integer programming model that incorporates preferences into the objective function of the mathematical model. We present a meta-heuristic framework that incorporates a customized Adaptive Large Neighborhood Search algorithm and other tailored algorithms, to effectively manage dynamic requests through a rolling horizon approach. Numerical experiments are conducted using real transport network data in a suburban area of Rotterdam The Netherlands Model application results demonstrate that the proposed algorithm can efficiently obtain near-optimal solutions. Managerial insights are gained from comprehensive experiments that consider various passenger segments, costs of micro-mobility vehicles, and availability fluctuation of shared mobility.

Keywords: Shared mobility; Public transport; Micro-mobility; Preference-based optimization; Multi-modal trip planning (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.tre.2025.104286

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