Mobility Patterns in Shared, Autonomous, and Connected Urban Transport

  • Nicole Ronald
  • Zahra Navidi
  • Yaoli Wang
  • Michael Rigby
  • Shubham Jain
  • Ronny Kutadinata
  • Russell Thompson
  • Stephan Winter
Chapter
First Online:
Part of the Lecture Notes in Mobility book series (LNMOB)

Abstract

A number of recent technological breakthroughs promise disrupting urban mobility as we know it. But anticipating such disruption requires valid predictions: disruption implies that predictions cannot simply be extrapolations from a current state. Predictions have to consider the social, economic, and spatial context of mobility. This paper studies mechanisms to support evidence-based transport planning in disrupting times. It presents various approaches, mostly based on simulation, to estimate the potential or real impact of the introduction of new paradigms on urban mobility, such as ad hoc shared forms of transportation, autonomously driving electrical vehicles, or IT platforms coordinating and integrating modes of transportation.

Keywords

Mobility on demand Demand-responsive transport Ride sharing Mobility as a service Simulated mobility 
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Notes

Acknowledgements

The authors acknowledge support through the Australian Research Council (LP120200130).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nicole Ronald
    • 1
  • Zahra Navidi
    • 2
  • Yaoli Wang
    • 2
  • Michael Rigby
    • 2
  • Shubham Jain
    • 2
  • Ronny Kutadinata
    • 2
  • Russell Thompson
    • 2
  • Stephan Winter
    • 2
  1. 1.Department of Computer Science and Software EngineeringSwinburne University of TechnologyHawthornAustralia
  2. 2.Department of Infrastructure EngineeringThe University of MelbourneParkvilleAustralia

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