A Hybrid Framework for Improving Sustainable Urban Mobility: Integrating Multi-Criteria Decision-Making and Maximal Covering Location Problem for Bike-Sharing System Site Selection

Authors : Nimet Elmacıoğlu

Pages : 346-369

View : 27 | Download : 23

Publication Date : 2025-04-30

Article Type : Research Paper

Abstract :Sustainable urban mobility is crucial for reducing environmental impacts and enhancing transportation efficiency. The effectiveness of Bike-Sharing Systems (BSS) largely depends on the optimal placement of stations. In this study, a data-driven framework integrating Multi-Criteria Decision-Making (MCDM) and spatial optimization techniques was developed for BSS station site selection. The Integrated Determination of Objective Criteria Weights (IDOCRIW) method was employed to determine criterion weights, while the Combined Compromise Solution (CoCoSo) method was used for evaluating alternatives. The analysis considered factors such as proximity to bicycle lanes and tram stations, population density, and traffic accident rates. To enhance result robustness, TOPSIS, ARAS, and COPRAS methods were applied, and the results were aggregated using the Borda Count method. Additionally, the Maximum Coverage Problem was utilized to optimize population coverage, with the selected three optimal station locations covering 18% of the urban population, demonstrating the effectiveness of the proposed approach. Scenario analyses assessed the impact of service distance thresholds on system performance, providing insights into planning flexibility. The findings highlight that integrating MCDM techniques with spatial modeling enhances the efficiency and sustainability of BSS implementations.
Keywords : Sürdürülebilirlik, Kentsel Hareketlilik, Paylaşımlı Bisiklet, Çok Kriterli Karar Verme (ÇKKV), Optimizasyon