  Mobility and transport, by their nature, involve crowds and require the
coordination of multiple stakeholders - such as policy-makers, planners,
transport operators, and the travelers themselves. However, traditional
approaches have been focused on time savings, proposing to users solutions that
include the shortest or fastest paths. We argue that this approach towards
travel time value is not centered on a traveler's perspective. To date, very
few works have mined data from crowds of travelers to test the efficacy and
efficiency of novel mobility paradigms. In this paper, we build upon a
different paradigm of worthwhile time in which travelers can use their travel
time for other activities; we present a new dataset, which contains data about
travelers and their journeys, collected from a dedicated mobile application.
Each trip contains multi-faceted information: from the transport mode, through
its evaluation, to the positive and negative experience factors. To showcase
this new dataset's potential, we also present a use case, which compares
corresponding trip legs with different transport modes, studying experience
factors that negatively impact users using cycling and public transport as
alternatives to cars. We conclude by discussing other application domains and
research opportunities enabled by the dataset.
