Identifying Core vs. Non-Core Activities of Household Members

Mahdieh Allahviranloo, W. Recker
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Abstract

Understanding scheduling behavior of households has been the focus of research for nearly half a century. Presumably activity engagement is being impacted by the importance of the activity to household members as well as time and cost constraints. Depending on the level of time budget, household members would eliminates some activities from the agenda or replace them with higher priority ones. In this paper, in order to capture the importance of different activities, we propose a methodology to schedule household activities under different levels of uncertainty about the importance of the activity. In this approach we combine discrete choice models and concepts of Fuzzy logic to identify core versus non-core activities in the agenda. The possibility of inclusion of an activity is the agenda is computed by estimating the expected importance of the activity and mapping to a set of fuzzy graphs. Activity scheduling and selection is then modeled as the outcome of a mixed integer optimization problem, in which the objective function is maximizing the expected desirability gained from activities and total saved time, subject to network connectivity, time windows, time budget and cost budget constraints.
识别家庭成员的核心与非核心活动
近半个世纪以来,理解家庭的调度行为一直是研究的焦点。据推测,活动的参与度受到活动对家庭成员的重要性以及时间和成本限制的影响。根据时间预算的水平,家庭成员会从议程中删除一些活动,或者用更优先的活动取而代之。在本文中,为了捕捉不同活动的重要性,我们提出了一种在活动重要性的不同不确定性水平下安排家庭活动的方法。在这种方法中,我们将离散选择模型和模糊逻辑概念结合起来,以确定议程中的核心活动与非核心活动。通过估计活动的预期重要性并将其映射到一组模糊图来计算活动在议程中包含的可能性。然后将活动调度和选择建模为混合整数优化问题的结果,其中目标函数是在受网络连通性、时间窗口、时间预算和成本预算约束的情况下,最大化从活动中获得的期望可取性和节省的总时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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