在自然主义研究中将GPS数据与GIS数据库相链接：阻塞性睡眠呼吸暂停患者驾驶员的实例
LINKING GPS DATA TO GIS DATABASES IN NATURALISTIC STUDIES: EXAMPLES FROM DRIVERS WITH OBSTRUCTIVE SLEEP APNEA.
作者信息
Dawson Jeffrey D, Yu Lixi, Sewell Kelly, Skibbe Adam, Aksan Nazan S, Tippin Jon, Rizzo Matthew
机构信息
Dept. of Biostatistics, Univ. of Iowa College of Public Health, Iowa City, Iowa, USA.
Dept. of Geographical and Sustainability Sciences, Univ. of Iowa College of Liberal Arts and Sciences, Iowa City, Iowa, USA.
出版信息
Proc Int Driv Symp Hum Factors Driv Assess Train Veh Des. 2015 Jun;2015:148-154.
In naturalistic studies, it is vital to give appropriate context when analyzing driving behaviors. Such contextualization can help address the hypotheses that explore a) how drivers perform within specific types of environment (e.g., road types, speed limits, etc.), and b) how often drivers are exposed to such specific environments. In order to perform this contextualization in an automated fashion, we are using Global Positioning System (GPS) data obtained at 1 Hz and merging this with Geographic Information Systems (GIS) databases maintained by the Iowa Department of Transportation (DOT). In this paper, we demonstrate our methods of doing this based on data from 43 drivers with obstructive sleep apnea (OSA). We also use maps from GIS software to illustrate how information can be displayed at the individual drive or day level, and we provide examples of some of the challenges that still need to be addressed.
在自然主义研究中，分析驾驶行为时给出适当的背景信息至关重要。这种情境化有助于探讨以下假设：a）驾驶员在特定类型的环境（如道路类型、限速等）中的表现如何；b）驾驶员接触此类特定环境的频率如何。为了以自动化方式进行这种情境化，我们正在使用以1赫兹频率获取的全球定位系统（GPS）数据，并将其与爱荷华州交通运输部（DOT）维护的地理信息系统（GIS）数据库合并。在本文中，我们基于43名患有阻塞性睡眠呼吸暂停（OSA）的驾驶员的数据展示了我们的做法。我们还使用GIS软件生成的地图来说明如何在个体驾驶或每日层面显示信息，并提供了一些仍需解决的挑战的示例。
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