Longitudinal analysis of relationship between travel behavior and step counts of senior citizens

Abstract

The aim of this study was to quantitatively evaluate the longitudinal change of visited places by senior citizens and analyze the relationship between the change of visited places and step counts. Panel surveys in 2016 and 2018 were carried in which step counts and travel behavior data were collected. Frequency of stay in city center, commerce area and park were calculated from gathered data. The within-person effect of the frequency of stay on step counts per day was estimated by hybrid modeling. As a result, this research showed the effects of changes of frequency of stay in commerce area and park by walk and changes of frequency of stay in city center by cycling or public transportation on step counts.