A Hybrid DEA Approach for the Upgrade of an Existing Bike-Sharing System with Electric Bikes

Danijela Tuljak-Suban () and Patricija Bajec
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Danijela Tuljak-Suban: Department of Quantitative Methods, Faculty of Maritime Studies and Transport, University of Ljubljana, Pot pomorscakov 4, 6320 Portoroz, Slovenia
Patricija Bajec: Transport Logistics Department, Faculty of Maritime Studies and Transport, University of Ljubljana, Pot pomorscakov 4, 6320 Portoroz, Slovenia

Energies, 2022, vol. 15, issue 21, 1-23

Abstract: An e-bike sharing system (e-BSS) solves many of the shortcomings of BSS but requires high financial investments compared to BSS. This article proposes a sustainable and targeted extension of the existing BSS with e-bikes and charging piles. The existing BSS in the selected city area is divided into sub-areas using the Voronoi diagram and reference points (landmarks). Then, the integrated approach of the Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) is used to assess the adequacy of the existing bike-sharing stations for updating with e-bikes and charging piles. The joint approach allows decision-makers to look at the whole process and highlight the link between the criteria assessment and user preferences in the context of the chosen reference point. This can encourage future users to use e-BSSs. Based on a thorough literature review, the defined system of criteria takes into account all dimensions of sustainability: the requirements of most stakeholders and the structural features and needs of e-BSS. Finally, the super-efficiency DEA is used to classify the suitable candidates for bike-sharing so that only the most suitable stations are updated. The test of the proposed algorithm in Ljubljana city centre confirms several suitable options for updating the BSS, depending on the reference point.

Keywords: e-bikes; e-BSS; sustainability; cyclist typology; AHP; DEA; super-efficiency model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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