Estimation of carpooling potential by trip modelling
Résumé
The development of carpooling meets the challenges of sustainable development and energy transition. But prior assessment of the success of this transport service is complex. We propose a tool to estimate supply and demand potentials from a multimodal static agglomeration model. This is based on systematic exploitation of the model data. Indicators are created in order to quantify the attractiveness of a carpooling service, and the impact on the user in terms of cost and time. The tool is tested with the model of a large French urban area and a fictitious carpooling service. The results are presented with representations adapted to the qualification of the service. The method developed is a promising solution for the study of carpooling projects. Future work will deal mainly with modal shift and service reliability.
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