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In developing country like India, where overpopulation is a major problem, encouraging public transportation is the need of hour. Keeping this in view, Government of India implemented Bus Rapid Transit System (BRTS) in various metro cities in India. In May 2013, Government implemented BRTS with exclusive bus lane in rapidly growing city, Indore (situated in the western part of India). After, six months of successful BRT service in Indore city, judicial system ordered to allow private cars (Autos) in an exclusive BRT lane; this was unique decision. The objective of this study is to assess the impact of BRTS service on modal shift before-and-after introduction of cars in exclusive BRT lane. For these two cases, separate models are formulated and compared using binary logistic method and Artificial Neural Network (ANN).The data on demographic and socioeconomic attributes (Gender, Age, Occupation) and trip related attributes (Travel time details, Cost saving per day) are collected using Revealed Preference (RP) survey. During this study, en-route survey data is collected on this corridor. The data provides original analysis of changes in travel behaviour in medium city due to BRT deployments. It also adds to the existing body of research on BRT-induced modal shifts using a binary logistic and ANN approaches. All considered variables are found to be statistically significant and influencing for shifting behaviour of passengers to BRTS in both binary logistic models. In ANN, it is found that travel time details, costs saving per day are the most influencing parameters for modal shift to BRTS in both the situations. Due to the introduction of cars in exclusive BRT lane, probability of passengers switching to BRT service is found to be decreased from 64.7% to 45.7% (i.e. 19% decrease).While, comparing both the techniques, it is found that ANN provides more accurate results as compared to the binary logistic model in both the situations.
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