相关实验视频
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时间使用+数据集:基于GPS轨迹的4周时间使用和支出数据
Caroline Winkler1, Adrian Meister1, Kay W Axhausen1
1Institute for Transport Planning and Systems ETH Zürich, 8093 Zürich, Switzerland.
概括
在TimeUse+研究中,使用智能手机应用程序收集了详细的旅行,时间使用和支出数据. 这一数据集为未来的研究提供了对日常活动和旅行行为有价值的见解.
科学领域:
- 移动和运输研究 交通和运输研究
- 人类活动和时间使用研究 研究 人类活动和时间使用研究
- 调查方法 调查方法
背景情况:
- 基于智能手机的活动旅行日记的现有研究为TimeUse+应用程序的设计提供了信息.
- 焦点小组和预测提供了对研究设计和组件的见解.
研究的目的:
- 介绍TimeUse+数据集及其收集方法.
- 提供关于旅行行为,时间使用和支出的全面数据.
- 为进一步研究提供广泛的纵向数据.
主要方法:
- 使用智能手机应用程序进行被动GPS跟踪和主动数据注释.
- 通过在线问卷和4周的智能手机日记收集数据.
- 采用了数据收集的综合调查方法.
主要成果:
- 收集了关于旅行方式,目的,持续时间,社会伙伴和支出的纵向数据.
- 尽管研究的要求很高,但观察到的净响应率为2.1%.
- 在2022年7月至2023年2月期间从德语地区的瑞士收集的数据.
结论:
- TimeUse+研究成功生成了关于日常活动和旅行的丰富数据集.
- 记录了在研究过程中遇到的挑战和经验教训.
- 该数据集对于推进交通,时间使用和支出模式的研究具有价值.
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