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This study focuses on assessing potential thrust areas that can attract personalized vehicle based daily work trips to mass transit. The proposed study specifically targets to Tier-II medium sized Indian metropolises for the estimation of a probability mode shift from personalized 2-wheelers’ to public transport on the introduction of hypothetically designed improved mass transit services. Data pertaining to study were collected through a stated preference approach that involved home-interview and online survey methods. The Latent variable enriched binary logit mode-shift behaviour model was calibrated using the Statistical Package for the Social Sciences platform and validated using hold-back data. The utility function developed using coefficients obtained through calibrated model can be further used as a user friendly tool for predicting pobability of mode shifts.The current research is an attempt to incorporate latent variables in context of Indian metropolitan area which has rarely been attempted by any researcher.
Nipa A. Desai (Sun,) studied this question.