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Article Dans Une Revue Transport Findings Année : 2019

Identifying Twin Travelers Using Ridesourcing Trip Data

Résumé

Shared mobility services are announced as a game changer in transportation and a promising solution to reduce congestion and improve performance of urban mobility. However, only few studies aim at identifying if it really exists a significant demand for such services. This paper propose a first attempt toward this objective by finding twin travelers into ridesourcing trips data. Using the Didi Chuxing's dataset, a general methodology is defined to assess the similarity between trips and to cluster analogous travelers. The study reveals, among others, that at least 18% of the trips can be paired with introducing tolerable delays.
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Dates et versions

hal-02292962 , version 1 (20-09-2019)

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Nicolas Chiabaut, Cyril Veve. Identifying Twin Travelers Using Ridesourcing Trip Data. Transport Findings, 2019, 7p. ⟨10.32866/9223⟩. ⟨hal-02292962⟩
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