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User characteristics and spatial correlates of ride-pooling demand – Evidence from Berlin and Munich

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  • Gödde, Jan
  • Ruhrort, Lisa
  • Allert, Viktoria
  • Scheiner, Joachim

Abstract

As ride-hailing services – such as Uber and Lyft – dominate the market for digitized on-demand mobility solutions, these cab-like services face strict regulations in Germany. Here, ride-pooling services have begun to establish themselves in multiple cities. Instead of transporting passengers individually, ride-pooling services try to bundle journeys with similar routes in real time. Since the launch of commercial ride-pooling services in Germany in 2016, CleverShuttle has been one of the most prominent providers. To get a better understanding of ride-pooling users and their travel behavior in an urban environment, this article shows empirical data from a survey of CleverShuttle users as well as a spatial analysis of CleverShuttle trips made during the year 2019 for the cities of Berlin and Munich. We perform spatial regressions to identify spatial correlates of ride-pooling demand. The analysis of both survey and trip data leads to complementary results. Ride-pooling users in Berlin and Munich tend to be young and low-income, with leisure activities in the evening being their primary purpose of travel, followed by commuting. An intermodal use of ride-pooling with rail transport can be assumed for long-distance travel with origins or destinations outside the city's boundaries, rather than for trips within the city centre. The results also suggest that ride-pooling offers a mobility solution complementary to public transport in times when public transport is inconvenient or not available.

Suggested Citation

  • Gödde, Jan & Ruhrort, Lisa & Allert, Viktoria & Scheiner, Joachim, 2023. "User characteristics and spatial correlates of ride-pooling demand – Evidence from Berlin and Munich," Journal of Transport Geography, Elsevier, vol. 109(C).
    • Handle: RePEc:eee:jotrge:v:109:y:2023:i:c:s0966692323000686
    DOI: 10.1016/j.jtrangeo.2023.103596
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    References listed on IDEAS

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