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Understanding Taxi Travel Demand Patterns Through Floating Car Data

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Data Analytics: Paving the Way to Sustainable Urban Mobility (CSUM 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 879))

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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.

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References

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Acknowledgments

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

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Authors and Affiliations

  1. Department of Enterprise Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133, Rome, Italy

    Agostino Nuzzolo, Antonio Comi & Antonio Polimeni

  2. University of Westminster, London, UK

    Enrica Papa

Authors
  1. Agostino Nuzzolo
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  2. Antonio Comi
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  3. Enrica Papa
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  4. Antonio Polimeni
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Corresponding author

Correspondence to Agostino Nuzzolo .

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Editors and Affiliations

  1. Department of Civil Engineering, Traffic, Transportation and Logistics Laboratory (TTLog), University of Thessaly, Volos, Greece

    Eftihia G. Nathanail

  2. Department of Civil Engineering, Traffic, Transportation and Logistics Laboratory (TTLog), University of Thessaly, Volos, Greece

    Ioannis D. Karakikes

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Nuzzolo, A., Comi, A., Papa, E., Polimeni, A. (2019). Understanding Taxi Travel Demand Patterns Through Floating Car Data. In: Nathanail, E., Karakikes, I. (eds) Data Analytics: Paving the Way to Sustainable Urban Mobility. CSUM 2018. Advances in Intelligent Systems and Computing, vol 879. Springer, Cham. https://doi.org/10.1007/978-3-030-02305-8_54

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  • DOI: https://doi.org/10.1007/978-3-030-02305-8_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02304-1

  • Online ISBN: 978-3-030-02305-8

  • eBook Packages: EngineeringEngineering (R0)

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