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- W2955453114 abstract "Shared mobility services have been hailed as a game changer in transportation and a promising solution to reduce congestion and improve urban mobility. However, only a few studies have attempted to determine if significant demand for such services really exists. This article marks a first attempt toward this objective by employing ridesourcing trip data to identify twin travelers. Using the DiDi Chuxing dataset, a general methodology is defined to assess the similarity between trips and to cluster comparable travelers. The study reveals, among other things, that at least 18% of trips can be paired without introducing significant delays." @default.
- W2955453114 created "2019-07-12" @default.
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- W2955453114 date "2019-06-25" @default.
- W2955453114 modified "2023-10-09" @default.
- W2955453114 title "Identifying Twin Travelers Using Ridesourcing Trip Data" @default.
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- W2955453114 doi "https://doi.org/10.32866/9223" @default.
- W2955453114 hasPublicationYear "2019" @default.
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