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.
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