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Daily Time Allocation Behavior Analysis in Xiaoshan District of Hangzhou, China

机译：杭州萧山区日常时间分配行为分析

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摘要

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.
机译：在本文中，采用多个离散连续的极值（MDCEV）建模框架来模拟杭州市萧山区的日常时间分配行为。根据使用具有基于Web的地图服务的高级调查系统，从最近在其城市地区进行的家庭调查中收集了模型开发数据。开发模型以识别强制性工作时间表的约束。在工人模型中，发现总工作时间，工作时间表，通勤时间，通勤旅行模式大大影响了其他非强制活动的日常时间划分。其他影响因素包括工人的年龄，性别，教育水平，家庭收入和住宅人口密度。在非工人模型中，有影响因素包括非工人年龄，性别，家庭规模，家庭收入，永久居住和住宅人口密度。有人发现，从8:00到7:00到7:00到7:00转移工作时间表将允许工人在室外活动中额外分配40分钟，但削减了相同的时间在家庭活动中。将每日工作时间延长（或缩短）将每日1小时减少（或添加）在家庭住宿活动中约45分钟，在营销外活动约15分钟。

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