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Comparative analysis of time - space prism vertices for out-of-home activity engagement on working and nonworking days

机译:在工作日和非工作日进行户外活动的时空棱镜顶点的比较分析

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摘要

Out-of-home activities are engaged within time - space prisms, but the prisms themselves are unobservable. In this paper, stochastic frontier models with observed departure and arrival times as dependent variables are formulated to locate time-space prism vertices. Two possible distributions often used in frontier models for one-sided disturbance terms, the half-normal distribution and exponential distribution, are examined better to represent observed behavior. The locations of morning prism origin vertices and evening prism terminal vertices on working days and nonworking days are estimated with an empirical dataset obtained in southeast Florida. The results suggest that the exponential distribution has a better goodness of fit, but the coefficient estimates of explanatory variables are similar between models with the two distributions, suggesting that the model parameter estimates are robust regardless of the assumptions regarding the distribution of the one-sided random disturbance. It is found that the average heights of the morning prism before work and the evening prism after work on working days are estimated at about 2.5 hours and about 3 hours, respectively. It is also found that part-time workers have prism heights that are on average larger by half an hour than those of full-time workers on working days, and smaller by 1.5 hours on nonworking days.
机译:时空棱镜内进行户外活动,但是棱镜本身是不可观察的。在本文中,以观察到的出发和到达时间为因变量的随机边界模型被制定来定位时空棱镜顶点。较好地检查了在边界模型中经常用于单边扰动项的两个可能的分布,即半正态分布和指数分布,以表示观察到的行为。利用在佛罗里达州东南部获得的经验数据集,估算了在工作日和非工作日的晨棱镜原点和晚棱镜终点的位置。结果表明,指数分布具有较好的拟合度,但是在具有两种分布的模型之间,解释变量的系数估计相似,这表明,不管关于单侧分布的假设如何,模型参数估计都是鲁棒的随机干扰。已经发现,在工作日工作的早晨棱镜和工作后的夜棱镜的平均高度分别估计为约2.5小时和约3小时。还发现,兼职工人的棱镜高度在工作日平均比全职工人的棱镜高半小时,而在非工作日则小1.5个小时。

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