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首页> 外文期刊>International Journal of Environmental Research and Public Health >Seasonal Differences in Determinants of Time Location Patterns in an Urban Population: A Large Population-Based Study in Korea
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Seasonal Differences in Determinants of Time Location Patterns in an Urban Population: A Large Population-Based Study in Korea

机译：城市人口中时间定位模式决定因素的季节性差异：韩国一项基于人口的大型研究

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摘要

Time location patterns are a significant factor for exposure assessment models of air pollutants. Factors associated with time location patterns in urban populations are typically due to high air pollution levels in urban areas. The objective of this study was to determine the seasonal differences in time location patterns in two urban cities. A Time Use Survey of Korean Statistics (KOSTAT) was conducted in the summer, fall, and winter of 2014. Time location data from Seoul and Busan were collected, together with demographic information obtained by diaries and questionnaires. Determinants of the time spent at each location were analyzed by multiple linear regression and the stepwise method. Seoul and Busan participants had similar time location profiles over the three seasons. The time spent at own home, other locations, workplace/school and during walk were similar over the three seasons in both the Seoul and Busan participants. The most significant time location pattern factors were employment status, age, gender, monthly income, and spouse. Season affected the time spent at the workplace/school and other locations in the Seoul participants, but not in the Busan participants. The seasons affected each time location pattern of the urban population slightly differently, but overall there were few differences.
机译：时间位置模式是空气污染物暴露评估模型的重要因素。与城市人口中时间定位模式相关的因素通常是由于城市地区空气污染水平高。这项研究的目的是确定两个城市中时间定位模式的季节性差异。 2014年夏季，秋季和冬季进行了韩国统计时间使用调查（KOSTAT）。收集了汉城和釜山的时间位置数据，以及通过日记和问卷调查获得的人口统计信息。通过多元线性回归和逐步方法分析了在每个位置花费的时间的决定因素。首尔和釜山的参与者在三个季节中的时间位置配置文件相似。在首尔和釜山的三个季节中，自己在家，其他地方，工作场所/学校和步行期间所花费的时间相似。时间位置模式最重要的因素是就业状况，年龄，性别，月收入和配偶。季节影响了在首尔参加者在工作场所/学校和其他地点所花费的时间，但在釜山参加者中没有影响。季节对城市人口的每次位置模式的影响都略有不同，但总体上差异不大。

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