Daily mobility, greenspace exposure and affective states: A systematic review of studies that use mobile methods DOI Creative Commons
Hong Deng, Jens Kandt,

V. Signorelli

et al.

Landscape and Urban Planning, Journal Year: 2025, Volume and Issue: 262, P. 105407 - 105407

Published: May 23, 2025

Language: Английский

Assessing the impact of socioeconomic and environmental factors on mental health during the COVID-19 pandemic based on GPS-enabled mobile sensing and survey data DOI Creative Commons
Dong Liu, Zihan Kan, Mei‐Po Kwan

et al.

Health & Place, Journal Year: 2025, Volume and Issue: 92, P. 103419 - 103419

Published: Jan. 31, 2025

Language: Английский

Citations

0
Revisiting the Uncertain Geographic Context Problem: Expanding Its Scope to Include Indoor Geographic Contexts and Dynamics in Environmental Health and Social Science Research DOI Creative Commons
Yoo Min Park, Mei‐Po Kwan

Annals of the American Association of Geographers, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: March 19, 2025

Language: Английский

Citations

0
How Mobility-based Exposure Measures May Mitigate the Underestimation of the Association between Green Space Exposures and Health DOI Creative Commons
Yang Liu, Mei‐Po Kwan, Liuyi Song

et al.

Social Science & Medicine, Journal Year: 2025, Volume and Issue: 379, P. 118190 - 118190

Published: May 11, 2025

Recent urban green space research highlighted that mobility-based measures of exposure may significantly mitigate a particular type measurement error (contextual errors) residence-based measures. In this study, we examined an important manifestation the contextual errors measures: neighborhood effect averaging. We analytically illustrated lead to considerable underestimation associations between exposures and human health, reduction such can be quantified through mitigating factor. employed data from cross-sectional survey assess usefulness our analytics. Based on participants' 7-day GPS trajectories, derived using spatiotemporally weighted approach. Logistic regression was estimate overall health. consistent significant factors based analytics magnitudes estimated or variances distributions. Our results indicate reduced about 20.9 % - 52.3 which reflected influence errors. study sheds light how obfuscate association also true for other mobility-dependent environmental factors. This has crucial implications broad range public health studies need accurate estimation impacts.

Language: Английский

Citations

0
Daily mobility, greenspace exposure and affective states: A systematic review of studies that use mobile methods DOI Creative Commons
Hong Deng, Jens Kandt,

V. Signorelli

et al.

Landscape and Urban Planning, Journal Year: 2025, Volume and Issue: 262, P. 105407 - 105407

Published: May 23, 2025

Language: Английский

Citations

0