Presentation from the webinar:
An Adaptive Multi-Criteria Hybrid DEA approach to upgrade an existing Bike-Sharing System with electric bikes: The case of Ljubljana City Center
An E-Bike Sharing System (e-BSS) solves many of the shortcomings of BSSs – long distances, hilly terrain, are more convenient for the elderly and those with health problems – but requires large financial investments in e-bikes, charging stations, and, if available, battery replacement, compared to BSSs. We present a sustainable and targeted extension of the existing BSS with e-bikes and charging points. The BSS in the selected urban area is divided into subsets and sub-areas using the de Voronoi diagram and predefined landmarks. Then, the integrated Analytic Hierarchy Process (AHP) and the Data Envelopment Analysis (DEA) approach, supported by a comprehensive criteria system, is used to evaluate the suitability of existing bike-sharing stations for upgrading with e-bikes and charging piles. A defined criteria system considers the requirements of all stakeholders, the characteristics and needs of e-BSSs, and important sustainability dimensions. Finally, super-efficiency Data Envelopment Analysis (DEA) is used to rank optimal bike-sharing candidate stations in order to upgrade only the most suitable ones and not all stations in case of limited financial resources. The aggregation of AHP and DEA allows decision-makers to evaluate the whole process and highlight the relationship between the criteria score and the users of the selected landmark, which further strengthens sustainability. Testing the proposed algorithm in the Ljubljana city centre confirms that different upgrade options of BSS, depending on the considered landmark, exist and are relevant.
Speakers: Patricija Bajec & Danijela-Tuljak Suban
Time event is presented in Central European Time (CET).