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- W3206821841 abstract "As a sustainable mode of travel, walking for transportation has multiple environmental, social, and health-related benefits. In existing studies, however, such walking has rarely been differentiated between commuting and non-commuting trips. Using multilevel zero-inflated negative binomial regression and multilevel Tobit regression models, this study empirically examines the frequency and duration of commuting and non-commuting walking and their correlates in Xiamen, China. It finds that (1) non-commuting walking, on average, has a higher frequency and longer duration than commuting walking; (2) most socio-demographic variables are significant predictors, and age, occupation, and family size have opposite-direction effects on commuting and non-commuting walking; and (3) different sets of built environment variables are correlated with commuting and non-commuting walking, and the built environment collectively influences the latter more significantly than the former. The findings provide useful references for customized interventions concerning promoting commuting and non-commuting walking." @default.
- W3206821841 created "2021-10-25" @default.
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- W3206821841 date "2021-10-19" @default.
- W3206821841 modified "2023-10-16" @default.
- W3206821841 title "Built environment correlates of walking for transportation: Differences between commuting and non-commuting trips" @default.
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- W3206821841 doi "https://doi.org/10.5198/jtlu.2021.1933" @default.
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