K - 22
06.01.2021 at 12:15, Lecture room 204
Ride-on-demand services such as Uber and Lyft started as a cheaper alternative to taxis, a more comfortable alternative to public transport, and as a more practical alternative to cars. Significant promises and plans were made but 10 years after entering the market most of them have not been realized yet. An increasing number of studies show that such forms of transport have only contributed to increased congestion in cities (especially in America). What convinces people to use these services and who are their (potential) users? With the help of a 'stated preference' survey and the 'latent class choice model', we investigated how different population segments perceive ride-on-demand services and under which conditions they would use them.