Institute for Social Research, University of Michigan, Ann Arbor, Michigan, United States of America.
Department of Sociology, University of Chicago, Chicago, Illinois, United States of America.
PLoS One. 2024 Jan 30;19(1):e0297492. doi: 10.1371/journal.pone.0297492. eCollection 2024.
Activity space research explores the behavioral impact of the spaces people move through in daily life. This research has focused on urban settings, devoting little attention to non-urban settings. We examined the validity of the activity space method, comparing feasibility and data quality in urban and non-urban contexts. Overall, we found that the method is easily implemented in both settings. We also found location data quality was comparable across residential and activity space settings. The major differences in GPS (Global Positioning System) density and accuracy came from the operating system (iOS versus Android) of the device used. The GPS-derived locations showed high agreement with participants' self-reported locations. We further validated GPS data by comparing at-home time allocation with the American Time Use Survey. This study suggests that it is possible to collect daily activity space data in non-urban settings that are of comparable quality to data from urban settings.
活动空间研究探索了人们在日常生活中所经过的空间对行为的影响。这项研究主要集中在城市环境，对非城市环境关注较少。我们检验了活动空间方法的有效性，比较了城市和非城市环境中的可行性和数据质量。总的来说，我们发现该方法在两种环境中都很容易实施。我们还发现，位置数据质量在居住和活动空间环境中具有可比性。GPS（全球定位系统）密度和精度的主要差异来自所使用设备的操作系统（iOS 与 Android）。GPS 生成的位置与参与者的自我报告位置高度一致。我们通过将在家时间分配与美国时间使用调查进行比较，进一步验证了 GPS 数据。本研究表明，在非城市环境中收集日常活动空间数据是可行的，并且数据质量与城市环境中的数据相当。
