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Perceptually important points of mobility patterns to characterise bike sharing systems: The Dublin case

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  • Jiménez, Pilar
  • Nogal, María
  • Caulfield, Brian
  • Pilla, Francesco

Abstract

Since the first Bike Sharing System (BSS) was introduced in Amsterdam (1965), studies about BSSs have constantly increased. BSSs studies are typically focused on user's socio-economic characteristics, bike sharing patterns and purpose of use in the city. This paper increases the knowledge of bike station classification due to users' mobility patterns based on data mining tools. For this purpose stations will be identified by a code based on joining three ratios: the load factor or number of available bikes ratio, the cumulative trips ratio, and the turnover station ratio. The latter is the new ratio proposed in this paper, which measures the effectiveness degree of each station. The higher the rate, the more effective the station is. Data mining tools to work with these three ratios are used in the proposed algorithm. Specifically, the perceptually important points (PIP) process to represent and index each time series of each station, and a rule set to classify the stations, are used. The results could support planning and operations decisions for re-design and management of BSSs in relation to the spatial implications of the stations and the users' mobility patterns, due to the classification reveals imbalances in the distribution of bikes and lead to a better understanding of the system structure. The proposed method is applied to the Dublin Bikes Scheme with good performance results.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:54:y:2016:i:c:p:228-239
    DOI: 10.1016/j.jtrangeo.2016.06.010
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    1. 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.
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    Cited by:

    1. Wang, Mingshu & Zhou, Xiaolu, 2017. "Bike-sharing systems and congestion: Evidence from US cities," Journal of Transport Geography, Elsevier, vol. 65(C), pages 147-154.
    2. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    3. Maria Nogal & Pilar Jiménez, 2020. "Attractiveness of Bike-Sharing Stations from a Multi-Modal Perspective: The Role of Objective and Subjective Features," Sustainability, MDPI, vol. 12(21), pages 1-26, October.
    4. Dokuz, Yesim & Dokuz, Ahmet Sakir, 2023. "Time-persistent regions discovery of taxi trajectory big datasets based on regional spatio-temporal velocity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    5. Patricija Bajec & Danijela Tuljak-Suban & Eva Zalokar, 2021. "A Distance-Based AHP-DEA Super-Efficiency Approach for Selecting an Electric Bike Sharing System Provider: One Step Closer to Sustainability and a Win–Win Effect for All Target Groups," Sustainability, MDPI, vol. 13(2), pages 1-24, January.
    6. Caulfield, Brian & O'Mahony, Margaret & Brazil, William & Weldon, Peter, 2017. "Examining usage patterns of a bike-sharing scheme in a medium sized city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 152-161.
    7. Wang, Ruoxuan & Wu, Jianping & Qi, Geqi, 2022. "Exploring regional sustainable commuting patterns based on dockless bike-sharing data and POI data," Journal of Transport Geography, Elsevier, vol. 102(C).
    8. Muhammad Usama & Yongjun Shen & Onaira Zahoor, 2019. "Towards an Energy Efficient Solution for Bike-Sharing Rebalancing Problems: A Battery Electric Vehicle Scenario," Energies, MDPI, vol. 12(13), pages 1-21, June.
    9. Elżbieta Macioszek & Paulina Świerk & Agata Kurek, 2020. "The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    10. 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.
    11. Tomasz Bieliński & Agnieszka Kwapisz & Agnieszka Ważna, 2019. "Bike-Sharing Systems in Poland," Sustainability, MDPI, vol. 11(9), pages 1-14, April.
    12. Koglin, Till & Mukhtar-Landgren, Dalia, 2021. "Contested values in bike-sharing mobilities – A case study from Sweden," Journal of Transport Geography, Elsevier, vol. 92(C).
    13. Bacem Samet & Florent Couffin & Marc Zolghadri & Maher Barkallah & Mohamed Haddar, 2018. "Performance Analysis and Improvement of the Bike Sharing System Using Closed Queuing Networks with Blocking Mechanism," Sustainability, MDPI, vol. 10(12), pages 1-26, December.

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