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Using the data collected in Beijing, this paper investigates trip chaining, especially focusing on the generation and organization of non-work activity stops at a household level. According to activity-based approach, travel is a derived demand from the need to pursue activities distributed in space. So a binary logit model of the propensity for households to participate in non-work activities is first estimated. Then based on the presence of work activities and the number of intermediate activity stops in a chain, three chain types are defined, namely complex work chains, simple nonwork chains, and complex non-work chains. And the fractional logit modeling methodology is applied to model household's allocation of non-work activity stops among the three alternative chain types. Empirical results indicate that the propensity to participate in nonwork activities and the arrangement of non-work activity stops to form simple or complex chains vary among households with different structure, socio-demographic and travel characteristics.