2021/04/12 by Cristian Consonni, Consonni, Cristian, Silvia Basile +13
Computer Science · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Human-Computer Interaction (cs.HC) #Innovative Human-Technology Interaction #Transportation Planning and Optimization
paper · pdf · doi:10.48550/arxiv.2104.05809
openalex publication_date 2021/04/12 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Mobility and transport, by their nature, involve crowds and require the\ncoordination of multiple stakeholders - such as policy-makers, planners,\ntransport operators, and the travelers themselves. However, traditional\napproaches have been focused on time savings, proposing to users solutions that\ninclude the shortest or fastest paths. We argue that this approach towards\ntravel time value is not centered on a traveler's perspective. To date, very\nfew works have mined data from crowds of travelers to test the efficacy and\nefficiency of novel mobility paradigms. In this paper, we build upon a\ndifferent paradigm of worthwhile time in which travelers can use their travel\ntime for other activities; we present a new dataset, which contains data about\ntravelers and their journeys, collected from a dedicated mobile application.\nEach trip contains multi-faceted information: from the transport mode, through\nits evaluation, to the positive and negative experience factors. To showcase\nthis new dataset's potential, we also present a use case, which compares\ncorresponding trip legs with different transport modes, studying experience\nfactors that negatively impact users using cycling and public transport as\nalternatives to cars. We conclude by discussing other application domains and\nresearch opportunities enabled by the dataset.\n