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Identifying differences of travel time budgets between the elderly and the nonelderly groups using PSL structural equation models: A case study for Seoul metropolitan area

机译:使用PSL结构方程模型识别老年人和非老年人群体旅行时间预算的差异:以首尔市区为例

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To date, aging is one of the most important issues in our society because of its significant socioeconomic impacts. Corresponding concerns about the transportation needs of the elderly have led to a focus on the mobility and quality of life of the elderly and motivated various studies of senior mobility. As the fastest aging country in the world, Korea will need to provide insightful information for an aging society. The purpose of this study is to investigate the difference in travel behavior between the elderly and the nonelderly groups by focusing on travel time budget (TTB), using the 2006 household travel diary survey data from the Seoul metropolitan area. We develop partial least square (PLS) structural equation models to identify major variables that affect the TTB of each of the two groups and then compare the differences between the models. Model results indicate that the significant explanatory variables differ between the two age groups, and the degree to which the variables affect the TTB differs by personal and household characteristics.
机译:迄今为止,由于其严重的社会经济影响,老龄化是我们社会中最重要的问题之一。对老年人交通需求的相应关注导致对老年人流动性和生活质量的关注,并激发了对老年人流动性的各种研究。作为世界上最快的老龄化国家,韩国将需要为老龄化社会提供有见地的信息。这项研究的目的是通过使用首尔市区的2006年家庭旅行日记调查数据,通过关注旅行时间预算(TTB)来调查老年人和非老年人群体之间的旅行行为差异。我们开发了偏最小二乘(PLS)结构方程模型,以识别影响两组中TTB的主要变量,然后比较模型之间的差异。模型结果表明,两个年龄组之间的重要解释变量存在差异,并且变量影响TTB的程度因个人和家庭特征而异。

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