Not logged in.
Quick Search - Contribution
Contribution Details
| Type | Conference Presentation |
| Scope | Discipline-based scholarship |
| Title | Visual Exploration of Time Use Data to Support Environmental Assessment of Lifestyles |
| Organization Unit | |
| Authors |
|
| Presentation Type | speech |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
|
| Publisher | International Association for Time Use Research |
| Event Title | 41st International Association for Time Use Research Conference |
| Event Type | conference |
| Event Location | Washington D.C. |
| Event Start Date | July 10 - 2019 |
| Event End Date | July 12 - 2019 |
| Abstract Text | The time-use (or activity) patterns individuals perform on a typical day – their individual lifestyles – fundamentally shape our society and the environment we live in. Not only are lifestyles evolving over time, driven by societal and technological change, they also significantly contribute to the achievement of Sustainable Development Goal 12 “responsible consumption and production”, namely through the resource use and emissions associated with goods and services consumed to perform activities. We created an interactive, browser-based tool to visualize and intuitively explore statistical time-use data. The visualization helps to gain an overview about the available data, identify and compare common time-use patterns and draw up hypotheses about the relationship between changes in lifestyles and their social and environmental consequences. As humans are good at visual perception, visualization of time-use data can help researchers to explore time-use data, attract a wider audience to time-use data and communicate time-use research to policy makers and the public. We use the tool in a pilot application to compare time-use data from different regions, time periods as well as socio-economic and demographic backgrounds. From a time-use perspective, any technological change which triggers changes in time allocation can only be environmentally sustainable if the environmental impact of the total of the activities performed after the change is lower than before. There is much potential to further improve the tool, i.e. directly including environmental data in the tool or improving the performance. We encourage researchers interested in time-use data to use this visualization and even add further functionality. |
| PDF File |
Download
|
| Export |
BibTeX
|