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Effects of Individual and Environmental Factors on GPS-Based Time Allocation in Urban Microenvironments Using GIS

机译:基于GIS的个体和环境因素对基于GPS的城市微环境时间分配的影响

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Time-activity patterns are an essential part of personal exposure assessment to various environmental factors. People move through different environments during the day and they have different daily activity patterns which are significantly influenced by individual characteristics and the residential environment. In this study, time spent in different microenvironments (MEs) were assessed for 125 participants for 7 consecutive days to evaluate the impact of individual characteristics on time-activity patterns in Kaunas, Lithuania. The data were collected with personal questionnaires and diaries. The global positioning system (GPS) sensor integrated into a smartphone was used to track daily movements and to assess time-activity patterns. The study results showed that behavioral and residential greenness have a statistically significant impact on time spent indoors. These results underline the high influence of the individual characteristics and environmental factors on time spent indoors, which is an important determinant for exposure assessment and health impact assessment studies.
机译:时间活动模式是个人对各种环境因素进行暴露评估的重要组成部分。人们白天在不同的环境中移动,并且他们的日常活动方式也不同,这受个人特征和居住环境的影响很大。在这项研究中,连续7天评估了125位参与者在不同微环境(ME)中所花费的时间,以评估个体特征对立陶宛考纳斯时间活动模式的影响。数据通过个人问卷和日记收集。集成到智能手机中的全球定位系统(GPS)传感器用于跟踪日常运动并评估时间活动模式。研究结果表明,行为和住宅的绿色度对在室内度过的时间具有统计学上的显着影响。这些结果强调了个人特征和环境因素对在室内度过的时间的高度影响,这是暴露评估和健康影响评估研究的重要决定因素。

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