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Mobility and transport, by their nature, involve crowds and require thecoordination of multiple stakeholders - such as policy-makers, planners,transport operators, and the travelers themselves. However, traditionalapproaches have been focused on time savings, proposing to users solutions thatinclude the shortest or fastest paths. We argue that this approach towardstravel time value is not centered on a traveler's perspective. To date, veryfew works have mined data from crowds of travelers to test the efficacy andefficiency of novel mobility paradigms. In this paper, we build upon adifferent paradigm of worthwhile time in which travelers can use their traveltime for other activities; we present a new dataset, which contains data abouttravelers and their journeys, collected from a dedicated mobile application.Each trip contains multi-faceted information: from the transport mode, throughits evaluation, to the positive and negative experience factors. To showcasethis new dataset's potential, we also present a use case, which comparescorresponding trip legs with different transport modes, studying experiencefactors that negatively impact users using cycling and public transport asalternatives to cars. We conclude by discussing other application domains andresearch opportunities enabled by the dataset.

What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing