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TAToo – A Tracking for Planning Tool Applied to Cycling and Walking 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

Tracking cyclists and walkers may open a new window of opportunities for urban planning and policy and become a relevant part of cycling and walking planning and policy processes in the near future. Within the development of the project “TRACE – Walking and cycling tracking services”, parallel to different apps and initiatives that promote behaviour change, a new tool was developed in order to improve planning and decision-making processes: TAToo – Tracking Analysis Tool. This tool aims to transform the available tracking data of cycling and walking trips into relevant data, by map-matching the GPS trajectories with the network and calculating a set of key performance indicators (KPI) for nodes, links, areas and origin-destination pairs. Volume, number of trips, average speed, level of service and congestion are some of those KPI. TAToo may use both cities’ maps or export one from the open-source platform OpenStreetMap, and is also ready to deal with cities’ own zoning systems. This paper presents a description of TAToo development and usage, its potential of application to help cities or transport authorities to support their decisions related to the cycling and walking infrastructures, and presents examples of different analyses possible with the results from the tool.

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Notes

  1. 1.

    TRACE – Walking and cycling tracking services, Horizon 2020 under grant agreement number 635266. http://h2020-trace.eu/.

  2. 2.

    http://app.cycleprint.eu/.

  3. 3.

    http://www.briders.nl/.

  4. 4.

    https://www.strava.com.

  5. 5.

    https://moves-app.com/.

  6. 6.

    https://www.naviki.org/.

  7. 7.

    http://civitas.eu/tool-inventory/tatoo-tracking-planning-tool.

  8. 8.

    http://h2020-flow.eu/.

  9. 9.

    http://www.tis.pt.

  10. 10.

    http://www.inesc-id.pt.

  11. 11.

    http://www.ptvgroup.com/it/.

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Acknowledgments

The authors acknowledge the European Commission for its support and partial funding and the partners of the research project: H2020–635266 TRACE.

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Authors and Affiliations

  1. TIS – Consultores em Transportes, Inovação e Sistemas, Lisbon, Portugal

    André Ramos & João Bernardino

Authors
  1. André Ramos
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  2. João Bernardino
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Corresponding author

Correspondence to André Ramos .

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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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Ramos, A., Bernardino, J. (2019). TAToo – A Tracking for Planning Tool Applied to Cycling and Walking 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_8

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  • DOI: https://doi.org/10.1007/978-3-030-02305-8_8

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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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