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The pulse of the cycling city: visualising Madrid bike share system GPS routes and cycling flow

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  • Gustavo Romanillos
  • Borja Moya-Gómez
  • Martin Zaltz-Austwick
  • Patxi J. Lamíquiz-Daudén

Abstract

With the aim of shifting towards a more sustainable urban transport model, cycling mobility is being promoted in many cities and, in consequence, Bike Share Systems have been the focus of attention in an increasing number of studies over the past years. However, we know very little about the impact of these BSS in cities beyond the station level. What paths do cyclists follow? What are the most important urban arteries in terms of cycling flow? These are important questions to be addressed in order to implement policies and infrastructure where they are really needed. The main goal of this study is to visualise the cycling flow derived from Madrid BSS activity, obtained by processing over 250,000 GPS routes, and to provide an analysis of how this flow is distributed across the urban street network at different moments. We explore the diverse levels of use over the course of the day, and during the weekdays, weekends or holidays, as well as the different cycling patterns of frequent and occasional users.

Suggested Citation

  • Gustavo Romanillos & Borja Moya-Gómez & Martin Zaltz-Austwick & Patxi J. Lamíquiz-Daudén, 2018. "The pulse of the cycling city: visualising Madrid bike share system GPS routes and cycling flow," Journal of Maps, Taylor & Francis Journals, vol. 14(1), pages 34-43, January.
    • Handle: RePEc:taf:tjomxx:v:14:y:2018:i:1:p:34-43
    DOI: 10.1080/17445647.2018.1438932
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    Cited by:

    1. Mehzabin Tuli, Farzana & Mitra, Suman & Crews, Mariah B., 2021. "Factors influencing the usage of shared E-scooters in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 164-185.
    2. Wang, Jueyu & Lindsey, Greg, 2019. "Do new bike share stations increase member use: A quasi-experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 1-11.
    3. Daniela Arias-Molinares & Juan Carlos García-Palomares & Gustavo Romanillos & Javier Gutiérrez, 2023. "Uncovering spatiotemporal micromobility patterns through the lens of space–time cubes and GIS tools," Journal of Geographical Systems, Springer, vol. 25(3), pages 403-427, July.
    4. Lv, Huitao & Li, Haojie & Chen, Yanlu & Feng, Tao, 2023. "An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning," Journal of Transport Geography, Elsevier, vol. 113(C).
    5. Schimohr, Katja & Scheiner, Joachim, 2021. "Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption," Journal of Transport Geography, Elsevier, vol. 92(C).
    6. Ding, Hongliang & Lu, Yuhuan & Sze, N.N. & Li, Haojie, 2022. "Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 150-163.
    7. Ugo N. Castañon & Paulo J. G. Ribeiro, 2021. "Bikeability and Emerging Phenomena in Cycling: Exploratory Analysis and Review," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    8. Builes-Jaramillo, Alejandro & Lotero, Laura, 2022. "Spatial-temporal network analysis of the public bicycle sharing system in Medellín, Colombia," Journal of Transport Geography, Elsevier, vol. 105(C).
    9. Kim, Minjun & Cho, Gi-Hyoug, 2021. "Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns," Journal of Transport Geography, Elsevier, vol. 93(C).
    10. Gutiérrez, Antonio, 2022. "Movilidad urbana y datos de alta frecuencia [Urban mobility and high frequency data]," MPRA Paper 114854, University Library of Munich, Germany.
    11. Willberg, Elias S & Tenkanen, Henrikki & Poom, Age & Salonen, Maria & Toivonen, Tuuli, 2021. "Comparing spatial data sources for cycling studies – a review," SocArXiv ruy3j, Center for Open Science.

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