Effects of individual and environmental factors on GPS-based time allocation in urban microenvironments using GIS
Author | Affiliation | |
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LT | ||
LT | ||
LT | ||
LT |
Date |
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2018 |
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.
This research was funded by the Research Council of Lithuania (grant number: S-MIP-17-14; research project “The impact of sustainable mobility, physical activity and environmental factors on urban population health” in the frame of the Researcher teams’ projects)
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
Applied Sciences-Basel | 2.217 | 5.02 | 4.232 | 5.878 | 3 | 0.446 | 2018 | Q2 |
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
Applied Sciences-Basel | 2.217 | 5.02 | 4.232 | 5.878 | 3 | 0.446 | 2018 | Q2 |
Journal | Cite Score | SNIP | SJR | Year | Quartile |
---|---|---|---|---|---|
Applied Sciences (Switzerland) | 1.8 | 1.029 | 0.379 | 2018 | Q3 |