Longitudinal analysis of public transport usage by older people using a latent Markov model

Understanding trends in public transport usage by older people over the years is important for the long-term planning and development of age-friendly public transport. Despite extensive research on travel patterns of older people, very limited studies have explored the evolution oftheir public transport usage over the years. Using six years of smartcard transaction data and anonymous cardholder membership data from Shizuoka, Japan, we develop a latent Markov model to account for unobserved heterogeneity and to analyze the evolution of public transport usage by older people. The results indicate that age, gender, and residential built environment influence trends in publictransport usage by older adults over the years. There are five latentstates for older men and women, respectively, demonstrating theexistence of unobserved heterogeneity. Propensity to use public transport affected by unobserved factors tends to retain the same, especially for older people in the latent states of very low, low, and very high propensities.

Automated summary

Understanding trends in public transport usage by older people over the years is important for the long-term planning and development of age-friendly public transport. Using six years of smartcard transaction data from Shizuoka, Japan, a latent Markov model is developed to analyze the evolution of public transport usage by older people. The results suggest that age, gender, and residential built environment influence trends in public transport usage by older adults, and there are five latent states for older men and women, respectively, demonstrating the existence of unobserved heterogeneity.