Uber: a mobility maker?

Background of the study

In September 2015, 6t presented the results of the study on usage, users and the impact of Uber services. The objectives of this study were as follows:

  • to understand who the users of ridehailing services are;
  • to analyse the reasons for their using these services;
  • to assess the complementary nature of these services in relation to modes of transport other than private cars
  • to analyse to what extent these services have an influence on changes in mobility-related behaviour

The Uber service is a maker of mobility …

40% of users say that thanks to Uber, they make trips which they did not make before. Additionally, out of all trips made through Uber, 27% may not have been made without the option of using Uber.

 

Figure 1: Proportion of users who consider themselves to be making more trips since using chauffered services, according to whether or not they have a driving licence.

graph1

Source: 6t research, 2015, sample of 6476 respondents who have already used Uber.

This increase in mobility is even more pronounced for users who do not have a driving licence. 53% of this group believe that they now make more trips, and 36% state that they could not have made their last trip without this service.

Figure 2: Proportion of users who believe that they could have used a mode of transport other than Uber to make their last Uber trip, according to whether or not they have a driving licence.

graph2

Source: 6t research, 2015, sample of 6476 respondents who have already used Uber, who are resident in one of the urban areas studied, and who made their last trip with Uber within the urban area in which they are resident.

 

… which first of all fills a void in night-time transport options.

Out of all users who have stated that they make more trips since using Uber, 89 % state that they make all or some of these new trips at night-time and only 34% state that they make all or some of these trips during the day.

This trend is confirmed by users who believe that they could not have used another mode of transport during their last trip. These are users who made their last trip at night-time at the weekend (34%, against 20% of users who could have used another means of transport) or at night-time during the week (16% against 12% of users who could have used another mode of transport). There is, therefore, a complementary relationship between Uber and public transport, the former having become, for some users, the only way to travel around when the latter is not in service.

 

Figure 3: Proportion of users who believe that they could have used a mode of transport other than Uber to make their last Uber trip, according to the schedule of this last trip

graph3

Source: 6t research, 2015, sample of 6476 respondents who have already used Uber, who are resident in one of the urban areas studied, and who made their last trip with Uber within the urban area in which they are resident.

 

By contrast, the proportion of users who have made a trip in connection with the periphery is not higher among those who have specified that they could not have used another means of transport. From this perspective while Uber is widely used for trips in connection with the periphery (44% of trips at least originate from or arrive at an urban area periphery location) the service appears, rather, to compensate for an absence of alternatives from a more time-based than space-based point of view.

 

Figure 4: Proportion of users who believe that they could have used a mode of transport other than Uber for their last Uber trip, according to where the last trip originated from and arrived at.

graph4

Source: 6t research, 2015, sample of 6476 respondents who have already used Uber, who are resident in one of the urban areas studied, and who made their last trip with Uber within the urban area in which they are resident.

 

Finally, new trips are first and foremost made up of evenings out (for 86% of people who believe that they have made more trips since using Uber). By creating mobility which is mainly linked to nights out, Uber seems to be contributing to night-time economic activity.

 

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