📸Special thanks to all 70 participants of the Final Conference of #MoTiV! Soon we will publish the whole event recorded and an eBook with recommendations and results of the project. #ValueTravelTime #VTT #Mobility #transport #DataScience #userexperience #EU

"Enjoyment is the element having the highest impact on total worthwhileness, urban planners must make the travel experience fun and relaxing!", said @HolgerECF at the #MoTiV Final Conference. #ValueTravelTime #mobility #data #userexperience 👇🎨Check out the Stockholm subway

🚶🚲🚗🚌🚄Check out the transport preferences of commuters based on their productivity, fitness and enjoyment values. The research scientist @CristianCantoro has introduced these results at the #MoTiv Final Conference 👇 #VTT #Mobility #userexperience #data #transport

"MoTiV reports about feelings, purpose of trip, how the users felt about worthwhileness of travel time (#VTT), what they were doing during the trip, their motivations... " explained @jprbernardino at the #MoTiV Final Conference.

"This model can help to understand differences across transport modes based on productivity, fitness and enjoyment. This is an opportunity for new empirical evidence on Value of Travel Time", said @ludovicoboratto at the #MoTiV Final Conference. #VTT #Mobility #transport #data

"Travel time is a multidimensional concept, not just money", @finnjosh stressed during the #MoTiV Final Conference. #VTT #Mobility #Transport #data

"The choice of mode of transport mainly depends on habits and car users are the most difficult to change behaviour. So it’s crucial to understand the emotions of these users and to work on their perceptions", said Cristina Pronello (POLITO) at the #MoTiVFinalConference

"In Flanders, most car drivers listen to radio, music & chatting to users while public transport users have a broader variety of activities, working reading etc. There is a difference between passive and active activities while people travel" point out @imre_keseru (@MOBI_VUB)

"#MoTiV collected data throughout 7 months in 8 European countries from more than 3,300 users. A dataset of a least 56,000 trips based on the user experience across different angles like transport mode, gender, generations and culture", says @p_ghadir at the #MoTiVFinalConference

#MoTiV creates added value for travellers beyond simple time efficiency. Learn more about how your #traveltime is valued in the latest @OpenAccessGov publication 📰 #VTT ow.ly/qZfL50xUOZ8