In this paper, the multiple discrete-continuous extreme value (MDCEV) modeling framework is employed to model daily time allocation behavior in Xiaoshan District in the City of Hangzhou, China. The data for model development are collected from a household survey recently conducted in its urban area based on an advanced survey system using portable tablet computer with web-based map service. The models are developed to identify the constraint from mandatory work schedules. In the worker model, it is found that the total work time, work schedule, commuting time, commuting travel mode significantly affect daily time allocations on other non-mandatory activities. Other impact factors include worker's age, gender, education level, household income, and population density of residential area. In the non-worker model, influential factors include non-workers' age, gender, household size, household income, permanent residency, and population density of residential area. It is found that shifting the work schedule one hour earlier from 8:00 - 17:00 to 7:00 - 16:00 will allow workers to allocate extra about 40 minutes on out-of-home activities but cut the same amount of time on in-home activities. Lengthening (or shortening) daily work time by 1 hour will cut (or add) about 45 minutes on in-home activities and about 15 minutes on out-of-home activities.