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<p>This research study aims to identify the crucial enablers that supporting in the successful implementation of Public Bicycle Sharing Systems (PBSS) in urban areas. To achieve this, an Interpretive Structural Modeling (ISM) approach was employed to develop a hierarchical model. Through a comprehensive literature review, 20 key enablers were identified and included in the study. Experts were consulted to provide input for the construction of the hierarchical structural model using ISM. The results obtained from ISM were then analyzed using fuzzyMICMAC (Matriced’ Impacts Croise’s Multiplication Appliquéá un Classement) analysis to determine the driving and dependent power of these enablers. The findings reveals that institute vision and budget allocation emerged as the key enablers, and occupy the foundation level of the structural hierarchy form in the ISM model. Additionally, fuzzyMICMAC analysis highlights that institute vision, budget allocation, and effective planning strategy exhibit high driving power and are categorized within cluster-4. These results hold significant value for urban planners,policymakers, and practitioners as they provide insights for developing appropriate policy interventions prior to PBSS implementation. Moreover, the interrelationship among the enablers, as determined through cluster analysis, offers valuable guidance to industry professionals and practitioners involved in PBSS projects in urban areas worldwide.</p>

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Building the blueprint: identifying key policy enablers for implementing PBSS in cities

  • 期刊论文

  • 发表日期：

    2026年2月19日

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  • Samir J. Patel,
  • Chetan R. Patel,
  • Gunjan Yadav

摘要

This research study aims to identify the crucial enablers that supporting in the successful implementation of Public Bicycle Sharing Systems (PBSS) in urban areas. To achieve this, an Interpretive Structural Modeling (ISM) approach was employed to develop a hierarchical model. Through a comprehensive literature review, 20 key enablers were identified and included in the study. Experts were consulted to provide input for the construction of the hierarchical structural model using ISM. The results obtained from ISM were then analyzed using fuzzyMICMAC (Matriced’ Impacts Croise’s Multiplication Appliquéá un Classement) analysis to determine the driving and dependent power of these enablers. The findings reveals that institute vision and budget allocation emerged as the key enablers, and occupy the foundation level of the structural hierarchy form in the ISM model. Additionally, fuzzyMICMAC analysis highlights that institute vision, budget allocation, and effective planning strategy exhibit high driving power and are categorized within cluster-4. These results hold significant value for urban planners,policymakers, and practitioners as they provide insights for developing appropriate policy interventions prior to PBSS implementation. Moreover, the interrelationship among the enablers, as determined through cluster analysis, offers valuable guidance to industry professionals and practitioners involved in PBSS projects in urban areas worldwide.