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Free-floating vehicle sharing platforms offer flexible and sustainable means of transportation and have thus proliferated swiftly in many cities around the globe. The operations management of these platforms prevalently relies on sophisticated information systems along with detailed demand models. Despite the emergence of such platforms and the first apparent tendencies towards multimodality, virtually no comprehensive and comparative demand models exist for the prevailing modes. Using econometric modeling, we empirically examine the effect of a rich set of factors on demand for free-floating shared cars, scooters, electric kick scooters, and bikes using a unique real-world geo-tagged rental dataset. Our analyses indicate that demand for all transportation modes considered is widely determined by factors pertaining to trip comfort, trip purpose, and user characteristics. We also provide evidence that said platforms are a key component to enable sustainable intermodal mobility as we observe demand peaks for shared vehicles close to public transportation facilities.



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