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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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    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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