Deviations from typical paths: a novel approach to working with GPS data in the behavioral sciences.

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Karen E Nielsen, Shannon T Mejía, Richard Gonzalez
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引用次数: 1

Abstract

Background: Behavioral science researchers are increasingly collecting detailed location data such as second-by-second GPS tracking on participants due to increased ease and affordability. While intraindividual variability has been discussed in the travel literature for decades, traditional methods designed for studying individual differences in central tendencies limit the extent to which novel questions about variability in lived experiences can be answered. Thus, new methods of quantifying behavior that focus on intraindividual variability are needed to address the context in which the behavior occurs and the location tracking data from which behavior is derived.

Methods: We propose deviations from typical paths as a data processing technique to separate individual-level typical travel behavior from a location tracking data set in order to highlight atypical travel behavior as an outcome measure.

Results: A simulated data example shows how the method works to produce deviation measures from a location dataset. Analysis of these deviations offers additional insights compared to traditional measures of maximum daily distance from home.

Conclusions: This process can be integrated into larger research questions to explore predictors of atypical behavior and potential mechanisms of behavior change.

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偏离典型路径:行为科学中处理GPS数据的新方法。
背景:行为科学研究人员越来越多地收集详细的位置数据,如对参与者的秒级GPS跟踪,因为越来越容易和负担得起。虽然在旅行文献中已经讨论了几十年的个体差异性,但为研究集中倾向中的个体差异而设计的传统方法限制了关于生活经历中可变性的新问题的回答程度。因此,需要新的量化行为的方法,关注个体内部的可变性,以解决行为发生的环境和行为产生的位置跟踪数据。方法:我们提出了典型路径偏差作为一种数据处理技术,将个人层面的典型旅行行为与位置跟踪数据集分开,以突出非典型旅行行为作为结果度量。结果:模拟数据示例展示了该方法如何从位置数据集产生偏差测量。与传统的每日离家最大距离测量方法相比,对这些偏差的分析提供了额外的见解。结论:这一过程可以整合到更大的研究问题中,以探索非典型行为的预测因素和行为改变的潜在机制。
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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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