Dataset Open Access

MoTiV: a Dataset of European User Mobility for Behavioral-Data

Cristian Consonni; Silvia Basile; Matteo Manca; Ludico Boratto; Ghadir Pourhashem; Tatiana Kovacikova; André Freitas; Yannick Cornet

Mobility is a system involving several stakeholders. Therefore, it is relevant to characterize mobility behavior and preferences in a detailed way, to enable nuanced decisions. Current paradigms rely mostly on time saving, proposing to users solutions that include the shortest path. Even though the value of travel time can be extended beyond travel duration, no dataset to characterize mobility and value of travel time from different perspectives exists. This creates a gap between novel mobility paradigms and the characterization of user mobility. To enable the mining of user mobility under these new paradigms, in this paper, we present the MoTiV (Mobility and Time Value) dataset, which contains data about travelers and their journeys, collected from a mobile application, called Woorti. Each trip contains multi-faceted information: from the transport mode, through its evaluation, to the positive/negative experience factors. We also present a use case, which compares corresponding legs with different transport modes, studying experience factors that negatively impact users. We conclude by discussing other application domains and research opportunities enabled by the dataset.

A paper about the dataset is going to appear at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021). If you use this dataset for an academic publication, please cite the following paper: ``` Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, and Yannick Cornet. "What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing". To appear in the 15th International AAAI Conference on Web and Social Media (ICWSM 2021). 2021. ```
Files (119.8 MB)
Name Size
activities.csv
md5:ff46ce8721988db1d3fd1d351123b71c
1.0 MB Download
experience_factors.csv
md5:a0b98b1d736ef1c40a02a9a51c19a20e
14.6 MB Download
legs.csv
md5:9c4a23c6566948a662c516f7fd1ff2ab
26.5 MB Download
legs_coordinates.csv
md5:8a1ed26db9fb12eb6b27d3457abdf4d0
12.6 MB Download
mots.csv
md5:18c13af9742d2fc0980363a34c969dfa
497 Bytes Download
purposes.csv
md5:e29c22ce441a4d73460c185b2cc80c8b
1.7 MB Download
trips.csv
md5:c11f0724a0cf026d04138132b3edb19b
15.1 MB Download
user_details.csv
md5:0bf802b1bd46b305963216c3b114e65a
321.7 kB Download
user_generic_worthwhileness_values.csv
md5:fd6be39575f950ad49117d298827c5ef
126.5 kB Download
user_specific_worthwhileness_values.csv
md5:ba2c2222511d2a14a3d66c21572328d3
617.3 kB Download
weather_legs.csv
md5:8882b3996fcd312153c27e3dc178f31c
33.6 MB Download
weather_raw.csv
md5:f55d891d9be0492c8049045a2e616d6c
6.2 MB Download
worthwhileness_elements_from_trips.csv
md5:26ea4844b3dd6dac90eeaec52d3d9998
7.4 MB Download
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