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There is growing evidence of an association between the built environment and walking activity, but knowledge of street microenvironmental factors and older adults’ walking is limited and inconsistent. We used a socio-ecological model as the theoretical framework for this study, aiming to investigate longitudinally the important influences of the street microenvironment on older people’s walking by manipulated street photographs and whether there are different groups of older people with different environmental preferences, and to determine the influence of environmental factors in the socio-ecological model. The clustering analysis method was used to divide the samples into four groups, and those four subgroups were put in a comparative analysis regarding their street environments by methods of semantic differential (SD). The preferences of various subgroups were checked by the variance analysis and post hoc tests, and the structural equation model (SEM) was applied to discuss the relations of correlation and influence among each factor. The results showed that “parking on the sidewalk” was rated the lowest in the pre-intervention photos, and “shaded” and “hedge” were rated the highest in the post-intervention photos, and the environmental requirements were different for the older, poorer and higher income and education subgroups. There was a significant positive relationship between residential status and architectural interventions as well as self-efficacy and physical condition. These findings suggest that when developing environmental interventions to promote walking among older adults, priority should be given to those factors that need to be improved most. In addition, attention should be paid to the differences in walking needs among different groups of older adults, with particular attention on the impact of self-selected living environments on street-level environmental interventions.

social sciences

The Influence of Street Microenvironment on the Walking Activities of Older Adults: A Longitudinal Study Based on the Structural Equation Model and Manipulated Photos