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Shared Bicycles In A City: A Signal Processing And Data Analysis Perspective

Author

Listed:
  • PIERRE BORGNAT

    (CNRS, Laboratoire de Physique (UMR 5672 CNRS), École Normale Supérieure de Lyon, Université de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France)

  • PATRICE ABRY

    (CNRS, Laboratoire de Physique (UMR 5672 CNRS), École Normale Supérieure de Lyon, Université de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France)

  • PATRICK FLANDRIN

    (CNRS, Laboratoire de Physique (UMR 5672 CNRS), École Normale Supérieure de Lyon, Université de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France)

  • CÉLINE ROBARDET

    (Université de Lyon, INSA-Lyon, CNRS, LIRIS (UMR CNRS 5205), Batiment Blaise Pascal 69621 Villeurbanne Cedex, France)

  • JEAN-BAPTISTE ROUQUIER

    (LIP (UMR CNRS INRIA 5668) and IXXI, (Institut des Systèmes Complexes) of École Normale Supérieure de Lyon, Université de Lyon; 46 allée d'Italie, 69364 Lyon Cedex 07, France)

  • ERIC FLEURY

    (LIP (UMR CNRS INRIA 5668) and IXXI, (Institut des Systèmes Complexes) of École Normale Supérieure de Lyon, Université de Lyon; 46 allée d'Italie, 69364 Lyon Cedex 07, France)

Abstract

Community shared bicycle systems, such as the Vélo'v program launched in Lyon in May 2005, are public transportation programs that can be studied as a complex system composed of interconnected stations that exchange bicycles. They generate digital footprints that reveal the activity in the city over time and space, making possible a quantitative analysis of movements using bicycles in the city. A careful study relying on nonstationary statistical modeling and data mining allows us to first model the time evolution of the dynamics of movements with Vélo'v, that is mostly cyclostationary over the week with nonstationary evolutions over larger time-scales, and second to disentangle the spatial patterns to understand and visualize the flows of Vélo'v bicycles in the city. This study gives insights on the social behaviors of the users of this intermodal transportation system, the objective being to help in designing and planning policy in urban transportation.

Suggested Citation

  • Pierre Borgnat & Patrice Abry & Patrick Flandrin & Céline Robardet & Jean-Baptiste Rouquier & Eric Fleury, 2011. "Shared Bicycles In A City: A Signal Processing And Data Analysis Perspective," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 415-438.
    • Handle: RePEc:wsi:acsxxx:v:14:y:2011:i:03:n:s0219525911002950
    DOI: 10.1142/S0219525911002950
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    Citations

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    Cited by:

    1. Maas, Suzanne & Attard, Maria & Caruana, Mark Anthony, 2020. "Assessing spatial and social dimensions of shared bicycle use in a Southern European island context: The case of Las Palmas de Gran Canaria," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 81-97.
    2. Carlos M. Vallez & Mario Castro & David Contreras, 2021. "Challenges and Opportunities in Dock-Based Bike-Sharing Rebalancing: A Systematic Review," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
    3. Todd, James & O'Brien, Oliver & Cheshire, James, 2021. "A global comparison of bicycle sharing systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    4. Hyland, Michael & Hong, Zihan & Pinto, Helen Karla Ramalho de Farias & Chen, Ying, 2018. "Hybrid cluster-regression approach to model bikeshare station usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 71-89.
    5. Liu, Hung-Chi & Lin, Jen-Jia, 2019. "Associations of built environments with spatiotemporal patterns of public bicycle use," Journal of Transport Geography, Elsevier, vol. 74(C), pages 299-312.
    6. Song, Jie & Zhang, Liye & Qin, Zheng & Ramli, Muhamad Azfar, 2022. "Spatiotemporal evolving patterns of bike-share mobility networks and their associations with land-use conditions before and after the COVID-19 outbreak," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    7. Maas, Suzanne & Nikolaou, Paraskevas & Attard, Maria & Dimitriou, Loukas, 2021. "Examining spatio-temporal trip patterns of bicycle sharing systems in Southern European island cities," Research in Transportation Economics, Elsevier, vol. 86(C).
    8. Justine I Blanford & MGIS Geog 586 Students, 2020. "Pedal Power: Explorers and commuters of New York Citi Bikesharing scheme," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-15, June.
    9. Jiménez, Pilar & Nogal, María & Caulfield, Brian & Pilla, Francesco, 2016. "Perceptually important points of mobility patterns to characterise bike sharing systems: The Dublin case," Journal of Transport Geography, Elsevier, vol. 54(C), pages 228-239.
    10. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2019. "Utilizing multi-stage behavior change theory to model the process of bike share adoption," Transport Policy, Elsevier, vol. 77(C), pages 30-45.
    11. Yiwei Fan & Gang Wang & Xiaoling Lu & Gaobin Wang, 2019. "Distributed forecasting and ant colony optimization for the bike-sharing rebalancing problem with unserved demands," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-26, December.
    12. Albiński, Szymon & Fontaine, Pirmin & Minner, Stefan, 2018. "Performance analysis of a hybrid bike sharing system: A service-level-based approach under censored demand observations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 59-69.
    13. Liu, Hung-Chi & Lin, Jen-Jia, 2022. "Associations of built environments with spatiotemporal patterns of shared scooter use: A comparison with shared bike use," Transport Policy, Elsevier, vol. 126(C), pages 107-119.
    14. Corcoran, Jonathan & Li, Tiebei & Rohde, David & Charles-Edwards, Elin & Mateo-Babiano, Derlie, 2014. "Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events," Journal of Transport Geography, Elsevier, vol. 41(C), pages 292-305.
    15. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2018. "Community mobility MAUP-ing: A socio-spatial investigation of bikeshare demand in Chicago," Journal of Transport Geography, Elsevier, vol. 66(C), pages 80-90.
    16. Faghih-Imani, Ahmadreza & Eluru, Naveen & El-Geneidy, Ahmed M. & Rabbat, Michael & Haq, Usama, 2014. "How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal," Journal of Transport Geography, Elsevier, vol. 41(C), pages 306-314.
    17. Vogel, Marie & Hamon, Ronan & Lozenguez, Guillaume & Merchez, Luc & Abry, Patrice & Barnier, Julien & Borgnat, Pierre & Flandrin, Patrick & Mallon, Isabelle & Robardet, Céline, 2014. "From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset," Journal of Transport Geography, Elsevier, vol. 41(C), pages 280-291.
    18. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system," Journal of Transport Geography, Elsevier, vol. 54(C), pages 218-227.
    19. Zhang, Ying & Thomas, Tom & Brussel, Mark & van Maarseveen, Martin, 2017. "Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China," Journal of Transport Geography, Elsevier, vol. 58(C), pages 59-70.
    20. An, Ran & Zahnow, Renee & Pojani, Dorina & Corcoran, Jonathan, 2019. "Weather and cycling in New York: The case of Citibike," Journal of Transport Geography, Elsevier, vol. 77(C), pages 97-112.

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