Abstract This study analyzes the change in mobility pattern and their psychological effect on dynamic travel behavior. 3,416 respondents’ data have been collected from the Agartala city randomly to understand the travel behavior of two different panels. More specifically, from the data, it can be observed that motorized two wheelers (MTW) ownership, car ownership, and nonmotorized transport were increasing from the last 5 years. The influences of attitudes along with socioeconomic parameters such as monthly cluster income, motorized two wheeler ownerships (MTW), nonmotorized ownerships (NMT), employment type were used for modeling. Structural equation modeling has been used to analyze the travel behavior. Results show that the change of travel decision varies with income. From the analysis of latent variables such as comfort, flexibility, reliability, and safety associated with modes such as car, motorized two wheeler, nonmotorized transport was found to be significant with cluster income over the change of time. Also from the data, it can be seen that there was an increase in the use of NMT modes even when infrastructure was not favorable; and with improvement in infrastructure, there is a good probability to increase the mode share of NMT modes across all income level.


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