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ECOSense and Sniffer Bike: European Bike Sensor Applications and Its Potential to Support the Decision-Making Process in Cycling Promotion

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Digital Transformation for Sustainability

Abstract

Different bicycle sensor approaches in Europe have improved the existing bicycle database. The question is how and to what degree the results of these projects can be compared. The basis for this discussion are the projects ECOSense (Germany) and Sniffer Bike (Netherlands). ECOSense targeted the question of how to detect the state of the bicycle infrastructure, Sniffer Bike is aiming at providing new knowledge about critical air qualities that endangers cyclists’ health. The paper provides discussion and evaluation of applied methodologies within the projects (e.g., sensor systems, citizen involvement). Results of the degree of citizen involvement and related data analysis parts will be presented. It will be discussed to what extent these findings are compatible and comparable. Data comparison parameters (e.g., number, durations, distances of bike trips, weather influence) and further related Key Performance Indicators (KPIs) are identified and presented. Limits of compatibility and comparability of the collected data are discussed. The conclusion shows strategies how stabilize the presented German and Dutch applications beyond the lifetime of the related research projects. Recommendations for future cross border data measurements to increase data quality and comparability are deduced.

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Notes

  1. 1.

    https://www.govdata.de/.

  2. 2.

    www.mcloud.de.

  3. 3.

    www.cylingdatahub.eu.

  4. 4.

    https://smart-zwolle.opendata.arcgis.com/.

  5. 5.

    https://www.dataplatform.nl.

  6. 6.

    https://ndw.nu/.

  7. 7.

    data.overheid.nl.

  8. 8.

    https://www.bikecitizens.net.

  9. 9.

    https://www.regiozwollemobiel.nl/fietsmaatjes/.

  10. 10.

    http://www.ikfiets.nl.

  11. 11.

    https://fietstelweek.nl/.

  12. 12.

    https://ecosense.mein-dienstrad.de/.

  13. 13.

    https://civity.nl/en/products-solutions/sniffer-bike/.

  14. 14.

    https://www.mcloud.de/web/guest/suche/-/results/suche/relevance/ecosense/0.

  15. 15.

    https://www.strava.com/.

  16. 16.

    https://dataplatform.nl/#/data/9cc4de28-6d03-4b59-8c66-085b3e8b3956.

  17. 17.

    https://www.nsl-monitoring.nl/.

  18. 18.

    https://northsearegion.eu/bits.

  19. 19.

    https://www.sensirion.com/en/environmental-sensors/particulate-matter-sensors-pm25/.

  20. 20.

    https://dashboard.dataplatform.nl/sodaq/v2/groene_fietsroutes.html.

  21. 21.

    It is intended to reorganize the event in Utrecht in 2022. Utrecht will be then the first city in the world that has hosted all three major cycling races (beyond the Giro d’Italia 2010 and the Torur de France in 2010). The trip at the Vuelta a España should be a ride about 24 km, starting from Jaarbeurs trade and conference venues crossing through working class districts, the suburbs, the shopping center, and the University. The cyclists will enter the Province at Rhenen and are crossing the Heuvelrug National Park. See Hitman and Hanenbergh, pp. 74 and 124.

  22. 22.

    https://senshagen-zwolle.opendata.arcgis.com/.

  23. 23.

    https://upride.io/.

  24. 24.

    www.infrasense.de.

  25. 25.

    https://seesense.cc/.

  26. 26.

    https://www.bmvi.de/DE/Themen/Digitales/mFund/Ueberblick/ueberblick.html.

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Acknowledgements

The newly generated bicycle data sets were preprocessed and refined by the University of Oldenburg, Department of Business Informatics, as part of the research projects ECOSense and BITS (Bicycles and Intelligent Transport Systems). The ECOSense project (project number VB18F1030) was funded by the Federal Ministry of Transport and Digital Infrastructure (BMDV) of Germany as part of the funding program Modernity Fund (“mFUND”)Footnote 26 with a funding amount of 97.272€ and includes the three project partners mein-dienstrad.de (baron mobility service GmbH, lead partner), CoSynth GmbH & Co. KG and the University of Oldenburg—Department of Business Informatics, Very Large Business Applications (VLBA) under the lead of Professor Dr.-Ing. habil. Jorge Marx Gómez.

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Correspondence to Johannes Schering .

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Schering, J. et al. (2022). ECOSense and Sniffer Bike: European Bike Sensor Applications and Its Potential to Support the Decision-Making Process in Cycling Promotion. In: Marx Gómez, J., Lorini, M.R. (eds) Digital Transformation for Sustainability. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-031-15420-1_8

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