Hystad P

Measuring and modelling perceptions of the built environment for epidemiological research using crowd-sourcing and image-based deep learning models

Larkin A, Krishna A, Chen L, Amram O, Avery AR, Duncan GE, Hystad P. Background Perceptions of the built environment, such as nature quality, beauty, relaxation, and safety, may be key factors linking the built environment to human health. However, few studies have examined these types of perceptions due to the difficulty in quantifying them […]

Bring Your Own Location Data: Use of Google Smartphone Location History Data for Environmental Health Research

Hystad P, Amram O, Oje F, Larkin A, Boakye K, Avery A, Gebremedhin A, Duncan G. Background Environmental exposures are commonly estimated using spatial methods, with most epidemiological studies relying on home addresses. Passively collected smartphone location data, like Google Location History (GLH) data, may present an opportunity to integrate existing long-term time-activity data. Objectives […]

GPS-based built environment measures associated with adult physical activity

Boakye KA, Amram O, Schuna JM, Duncan GE, Hystad P. Studies often rely on home locations to access built environment (BE) influences on physical activity (PA). We use GPS and accelerometer data collected for 288 individuals over a two-week period to examine eight GPS-derived BE characteristics and moderate-to-vigorous PA (MVPA) and light-to-moderate-vigorous PA (LMVPA). NDVI, […]