Urban transport planning in Indian administrative cities demands integrated strategies that address both commuter
behaviour and service efficiency. Gandhinagar, as Gujarat‘s capital, experiences concentrated travel demand toward its
government core, especially the Vidhansabha and nearby secretariat complexes. Yet, existing public transport routes often
lack alignment with actual travel behaviour and demand. This review synthesises global and Indian research on trip
generation, mode choice, and route assignment frameworks relevant to optimising public transport in such contexts. Key
methods include regression-based trip modelling, discrete choice approaches for mode analysis, and GIS-based optimisation
for route design. The review highlights critical determinants—travel time, service reliability, built environment, and socio
economic attributes—and emphasises the role of data-driven decision support. It concludes by identifying pathways for
developing a sustainable and accessible bus service network toward the Vidhansabha in Gandhinagar.
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