Ride-pooling efficiency in large, medium-sized and small towns - Simulation assessment in the Munich metropolitan region

Felix Zwick, Nico Kuehnel, Rolf Moeckel, Kay W. Axhausen

Research output: Contribution to journalConference articlepeer-review

11 Scopus citations

Abstract

This study introduces an autonomous ride-pooling service to six communities with varying population sizes and trip densities in the Munich Metropolitan Region. We analyze a) a laissez-faire scenario without additional policies, defining the modal shift through an incremental mode choice model and b) a draconian scenario in which each within-city car trip is replaced by ridepooling. Results indicate a logarithmic increase in system efficiency with increasing trip densities. While the results confirm the potential of ride-pooling systems to reduce private car fleets drastically, a reduction of traveled km is identified for scenarios with more than 1,000 requests per km2 per day.

Keywords

  • New mobility
  • On-demand mobility
  • Pooling efficiency
  • Population density
  • Ride-sharing
  • Shared autonomous vehicles

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