Abstract Urban accessibility and network connectivity are critical determinants of mobility, service delivery, and sustainable urban development. This study evaluates the accessibility and connectivity of 14 municipal councils in the Kolhapur district, Maharashtra, using network analysis metrics, including the Beta Index, node and arc counts, and accessibility scores. Spatial and statistical analyses reveal significant variations, with areas like Ichalkaranji, Kolhapur (Karvir), and Gadhinglaj exhibiting high connectivity and accessibility, while regions such as Hatkangale, Ajara, and Peth Vadgaon demonstrate low or tree-like network structures. Correlation between accessibility and connectivity indices highlights the importance of well-connected urban grids in enhancing movement efficiency and equitable access for resources. Graphical representations, including bar charts, histograms, and ranking analyses, support the interpretation of results. The findings provide actionable insights for urban planners to optimise transport networks, prioritise infrastructure interventions, and improve overall urban functionality, contributing to more resilient and accessible urban systems.
Kadam et al. (2025) studied this question.
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