使用谷歌街景对社区和住宅单元进行虚拟观测:可行性研究
Ting Yan1, Xin Rosalynn Yang2, Hanyu Sun1
1Westat, Rockville, Maryland, United States of America.
PloS one
|August 1, 2024
概括
使用谷歌街景的虚拟观测显示,与家庭调查中的传统采访者观测结果有中等到高的一致性. 虽然对效率有希望,但虚拟观测的覆盖范围限制需要考虑调查数据质量.
科学领域:
- 调查方法调查方法.
- 数据收集技术数据收集技术.
- 地理空间分析是什么?
背景情况:
- 面对面的调查依赖于访谈者对效率和非响应调整的观察.
- 传统的采访者观察是昂贵的,质量也会有所不同.
- 新兴技术为具有成本效益的标准化数据收集提供了潜力.
研究的目的:
- 通过谷歌街景 (GSV) 评估使用虚拟观测的可行性.
- 评估虚拟和现场采访者观察之间的一致性.
- 检查虚拟观测与调查响应和估计的相关性.
主要方法:
- 一项可行性研究,将GSV的虚拟观测与面试官的实体观测进行比较.
- 统计分析以确定一致性和相关系数.
- 对调查采样点的GSV覆盖范围限制的评估.
主要成果:
- 在虚拟和采访者观察之间发现了中等到高的一致性.
- 某些虚拟观察特征与调查响应状态有显著的相关性.
- 在虚拟观测和调查估计之间观察到显著的关系.
- 谷歌街景显示有覆盖范围问题,可能会限制其应用.
结论:
- 虚拟观察是调查中传统的采访者观察的可行和潜在的有价值补充.
- 与响应状态和估计的相关性表明对非响应调整和分析的有用性.
- 必须解决谷歌街景的覆盖范围限制,以便在调查研究中更广泛地实施.
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