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

Leonardo Caggiani, Rosalia Camporeale, Zahra Hamidi and Chunli Zhao
Additional contact information
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
Zahra Hamidi: K2—The Swedish Knowledge Centre for Public Transport, Bruksgatan 8, 22236 Lund, Sweden
Chunli Zhao: Division of Transport and Roads, Department of Technology and Society, Lund University, P.O. Box 118, 22100 Lund, Sweden

Sustainability, 2021, vol. 13, issue 2, 1-21

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.

Keywords: BSS station efficiency; data envelopment analysis; spatial analysis in transport; bike-sharing system; bike-sharing station (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:2:p:881-:d:481744

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