Built environment correlates of walking for transportation: Differences between commuting and non-commuting trips

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