Measuring accessibility for multimodal public transport system using multinomial logit model

Abstract

Accessibility is crucial for the integration and efficiency of multimodal transportation systems in Indian cities. This study develops an accessibility index tailored for Indian cities to measure the accessibility of multimodal transport systems and identify improvement strategies. The study combines the accessibility index with the multinomial logit model to investigate commuter decision factors and determine the relative proportions of private and feeder modes compared to walking. The accessibility index is constructed using carefully selected variables that capture the key dimensions of accessibility in Indian cities and is applied to assess the accessibility of the multimodal public transport system. The multinomial logit model is illustrated through a case study of Bhopal city, demonstrating its practical utility in improving accessibility. The study highlights the effectiveness of the developed accessibility index in measuring accessibility and informing improvement strategies. The findings contribute to the growing body of knowledge on accessibility measurement and provide a foundation for future studies in the Indian context.

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