Evaluating public bicycle sharing system in Ahmedabad, Gujarat: A multi-criteria decision-making approach

Abstract

This study evaluates the existing Public Bicycle Sharing System (PBSS) at Ahmedabad, Gujarat by applying four decision-making methods such as Analytic Hierarchy Process (AHP), Fuzzy AHP, Analytic Network Process (ANP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The study aims to identify the most effective strategies for improving PBSS, focusing on safety, infrastructure, user convenience, and environmental impact. The analysis shows that Enhanced Non-Motorized Transport (NMT) Infrastructure and Expansion of Bicycle Networks are the preferred alternatives across all methods. Personal safety and safe cycling infrastructure are identified as critical factors influencing the success of PBSS. Socio-demographic data reveals a male-dominant user base, with financial barriers and safety concerns limiting broader adoption. Positive perceptions of cycle design are noted, though electric and hybrid cycles are preferred due to climatic conditions. Monthly variations in ridership demonstrate significant fluctuations, peaking at 68,529 rides in March, underscoring the need for targeted interventions during peak periods. The study provides a robust framework for transport planners, emphasizing safety, inclusivity, and affordability. Future research should focus on expanding electric cycle options and enhancing gender inclusivity in PBSS.