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Evaluating the Efficiency of Bike-Sharing Stations with Data Envelopment Analysis

Author

Listed:
  • Leonardo Caggiani

    (Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, Via Edoardo Orabona 4, 70125 Bari, Italy)

  • Rosalia Camporeale

    (Division of Transport and Roads, Department of Technology and Society, Lund University, P.O. Box 118, 22100 Lund, Sweden
    K2—The Swedish Knowledge Centre for Public Transport, Bruksgatan 8, 22236 Lund, Sweden)

  • Zahra Hamidi

    (K2—The Swedish Knowledge Centre for Public Transport, Bruksgatan 8, 22236 Lund, Sweden
    Department of Urban Studies, Malmö University, Niagara, Nordenskiöldsgatan 1, 21119 Malmö, Sweden)

  • Chunli Zhao

    (Division of Transport and Roads, Department of Technology and Society, Lund University, P.O. Box 118, 22100 Lund, Sweden
    K2—The Swedish Knowledge Centre for Public Transport, Bruksgatan 8, 22236 Lund, Sweden)

Abstract

This paper focuses on the efficiency evaluation of bike-sharing systems (BSSs) and develops an approach based on data envelopment analysis (DEA) to support the decisions regarding the performance evaluation of BSS stations. The proposed methodology is applied and tested for the Malmöbybike BSS in Malmö, Sweden. This was done by employing spatial analyses and data about the BSS usage trends as well as taking into account transport, land use, and socioeconomic context of the case study. The results of the application demonstrate consistency with the literature and highlight meaningful associations between the station relative efficiency and the urban context. More specifically, the paper provides in-depth knowledge about the preprocessing data, selection of input and output variables, and the underlying analytical approach to be potentially applied to other cases and urban contexts. Overall, the DEA-based methodology presented in this study could assist decision-makers and planners with developing operational strategies for planning and management of BSS stations and networks.

Suggested Citation

  • Leonardo Caggiani & Rosalia Camporeale & Zahra Hamidi & Chunli Zhao, 2021. "Evaluating the Efficiency of Bike-Sharing Stations with Data Envelopment Analysis," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:881-:d:481744
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    References listed on IDEAS

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    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Edoardo Croci & Davide Rossi, 2014. "Optimizing the position of bike sharing stations. The Milan case," IEFE Working Papers 68, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    3. Lu, Wei & Scott, Darren M. & Dalumpines, Ron, 2018. "Understanding bike share cyclist route choice using GPS data: Comparing dominant routes and shortest paths," Journal of Transport Geography, Elsevier, vol. 71(C), pages 172-181.
    4. Jessica Schoner & David Levinson, 2014. "The missing link: bicycle infrastructure networks and ridership in 74 US cities," Transportation, Springer, vol. 41(6), pages 1187-1204, November.
    5. Joe Sarkis, 2007. "Preparing Your Data for DEA," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 305-320, Springer.
    6. Minjiao Cheng & Wenchao Wei, 2020. "An AHP-DEA Approach of the Bike-Sharing Spots Selection Problem in the Free-Floating Bike-Sharing System," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-15, September.
    7. Caggiani, Leonardo & Colovic, Aleksandra & Ottomanelli, Michele, 2020. "An equality-based model for bike-sharing stations location in bicycle-public transport multimodal mobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 251-265.
    8. Mateo-Babiano, Iderlina & Bean, Richard & Corcoran, Jonathan & Pojani, Dorina, 2016. "How does our natural and built environment affect the use of bicycle sharing?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 295-307.
    9. Wafic El-Assi & Mohamed Salah Mahmoud & Khandker Nurul Habib, 2017. "Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto," Transportation, Springer, vol. 44(3), pages 589-613, May.
    10. Cavaignac, Laurent & Petiot, Romain, 2017. "A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 84-96.
    11. Ashish Kabra & Elena Belavina & Karan Girotra, 2020. "Bike-Share Systems: Accessibility and Availability," Management Science, INFORMS, vol. 66(9), pages 3803-3824, September.
    12. Zhao, Chunli & Nielsen, Thomas Alexander Sick & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Meng, Xiaoying, 2018. "Urban form, demographic and socio-economic correlates of walking, cycling, and e-biking: Evidence from eight neighborhoods in Beijing," Transport Policy, Elsevier, vol. 64(C), pages 102-112.
    13. Alexandros Nikitas, 2019. "How to Save Bike-Sharing: An Evidence-Based Survival Toolkit for Policy-Makers and Mobility Providers," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    14. 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.
    15. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    16. Andreas Nikiforiadis & Georgia Ayfantopoulou & Afroditi Stamelou, 2020. "Assessing the Impact of COVID-19 on Bike-Sharing Usage: The Case of Thessaloniki, Greece," Sustainability, MDPI, vol. 12(19), pages 1-12, October.
    17. Adler, Nicole & Raveh, Adi, 2008. "Presenting DEA graphically," Omega, Elsevier, vol. 36(5), pages 715-729, October.
    18. Mingzhu Song & Kaiping Wang & Yi Zhang & Meng Li & He Qi & Yi Zhang, 2020. "Impact Evaluation of Bike-Sharing on Bicycling Accessibility," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
    19. Kuljanin, Jovana & Kalić, Milica & Caggiani, Leonardo & Ottomanelli, Michele, 2019. "A comparative efficiency and productivity analysis: Implication to airlines located in Central and South-East Europe," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 152-163.
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    Cited by:

    1. Giménez-Nadal, José Ignacio & Gracia-Lázaro, Carlos & Molina, José Alberto, 2022. "Increasing the use of public bicycles: Efficiency and demand," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 745-754.
    2. Akbari Majid & Zarghamfard Moslem & Hajisharifi Arezoo & Amir Entekhabi Shahram & Goodarzipour Sadrallah, 2022. "Modelling the Obstacles to using Bicycle Sharing Systems in the Tehran Metropolis: A Structural Analysis," Quaestiones Geographicae, Sciendo, vol. 41(2), pages 109-124, June.

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