Segmentation of Vehicle Transaction Propensity: Impact of Neighborhood and Life-Course Events
Publication: International Conference on Transportation and Development 2024
ABSTRACT
Vehicle transactions are the events that lead to the modification of household vehicle fleet structure, better modeled in a longitudinal framework. Household composition, life-course events, existing fleet characteristics, and neighborhood characteristics are the time-varying aspects that impact transaction decisions. Heterogeneity and state dependence are the two main issues in such statistical models. To simultaneously account for the heterogeneity and state dependence, this study applies longitudinal latent class cluster analysis to a retrospective response on vehicle transaction behavior from 320 households in Kolkata, India, over the last 10 years. It was found that households can be classified into biographic states and transition from one to another over the years. Apart from that, as societies evolve, biographic states’ characteristics also evolve. From 2013 to 2020, two states and from 2021 to 2022, a three-biographic state model could explain the variation in vehicle transaction propensity.
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