ArticleInternational journal of environmental research and public health2018
Using Individual GPS Trajectories to Explore Foodscape Exposure: A Case Study in Beijing Metropolitan Area.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Measuring environmental exposures in people's activity space: The need to account for travel modes and exposure decay.Journal of exposure science & environmental epidemiology · 2023Article
- Functional distributional clustering using spatio-temporal data.Journal of applied statistics · 2023Article
- Where we eat is who we are: a survey of food-related travel patterns to Singapore's hawker centers, food courts and coffee shops.The international journal of behavioral nutrition and physical activity · 2020Article
- Examining Ethnic Exposure through the Perspective of the Neighborhood Effect Averaging Problem: A Case Study of Xining, China.International journal of environmental research and public health · 2020Article
- Article
- The Moderating Role of Self-Control and Financial Strain in the Relation between Exposure to the Food Environment and Obesity: The GLOBE Study.International journal of environmental research and public health · 2019Article
- Association Between the Activity Space Exposure to Parks in Childhood and Adolescence and Cognitive Aging in Later Life.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the growing interest in studying the characteristics of people's access to the food environment and its influence upon individual health, there has been a focus on assessing individual food exposure based on GPS trajectories. However, existing studies have largely focused on the overall activity space using short-period trajectories, which ignores the complexity of human movements and the heterogeneity of the spaces that are experienced by the individual over daily life schedules. In this study, we propose a novel framework to extract the exposure areas consisting of the localized activity spaces around daily life centers and non-motorized commuting routes from long-term GPS trajectories. The newly proposed framework is individual-specific and can incorporate the internal heterogeneity of individual activities (spatial extent, stay duration, and timing) in different places as well as the dynamics of the context. A pilot study of the GeoLife dataset suggests that there are significant variations in the magnitude as well as the composition of the food environment in different parts of the individual exposure area, and residential environment is not representative of the overall foodscape exposure.
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