Strategies to optimise feeder services for accessible multimodal transit in Bhopal

This study develops strategies to enhance feeder services and improve accessibility in multimodal transport systems in Indian cities. An accessibility index tailored for Indian cities is developed, incorporating parameters such as travel time, service frequency, network coverage, multimodal integration, and accessibility to key destinations. The study integrates this index with a logit model to investigate commuter decision factors and determine the relative proportions of private and feeder modes compared with walking. A case study of Bhopal city demonstrates the model’s practical utility, revealing that enhancing feeder service coverage from 22% to 92% significantly improves Bhopal’s accessibility metrics, with the access time index decreasing from 0.4 to near 0 and the accessibility attractiveness index increasing from 0.6 to almost 1.0. The findings highlight the effectiveness of the developed approach in measuring accessibility and informing targeted strategies for enhancing feeder services in Indian cities, contributing to the growing body of knowledge on accessibility measurement and providing a foundation for future research on improving multimodal transport systems in India.