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Understanding Taxi Travel Demand Patterns Through Floating Car Data

  • Agostino NuzzoloEmail author
  • Antonio Comi
  • Enrica Papa
  • Antonio Polimeni
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 879)

Abstract

This paper analyses the current structure of taxi service use in Rome, processing taxi Floating Car Data (FCD). The methodology used to pass from the original data to data useful for the demand analyses is described. Further, the patterns of within-day and day-to-day service demand are reported, considering the origin, the destination and other characteristics of the trips (e.g. travel time). The analyses reported in the paper can help the definition of space-temporal characteristics of future Shared Autonomous Electrical Vehicles (SAEVs) demand in mobility scenarios.

Keywords

Taxi demand Travel demand Floating car data 

Notes

Acknowledgments

The authors want to thank Luis Moreira-Matias for the help in data retrieval and Claudia Proietti for the support in data elaboration.

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Enterprise EngineeringUniversity of Rome Tor VergataRomeItaly
  2. 2.University of WestminsterLondonUK

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