Built Environment and Driving Outcomes: The Case for an Integrated GIS/GPS Approach

Xiaoguang Wang, L. Kostyniuk, M. Barnes
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引用次数: 3

Abstract

This study demonstrates a segment-based approach to integrate GIS and GPS data to address questions about the connections between the built environment and travel behaviors. Methods and challenges of GPS/GIS integration are discussed, and an application integrating GPS naturalistic driving data from Southeast Michigan together with GIS data from several sources is demonstrated. The integrated dataset is used to explore connections between the built environment and driving behavior, specifically between business concentration, driving speed, vehicle stops and rear-end crashes. Driving speed, an important determinant of driver behavior linked to traffic safety, is found to be inversely related to business concentration, a pattern that does not vary by time of day. Rear-end crashes are found to increase with vehicle stops which increase with business concentration. This demonstration showed that fusing GPS and GPS data provides spatial intelligence which can be used to address planning, traffic safety, and transportation related issues. Language: en
建筑环境和驱动结果:综合GIS/GPS方法的案例
本研究展示了一种基于分段的方法来整合GIS和GPS数据,以解决有关建筑环境和旅行行为之间联系的问题。讨论了GPS/GIS集成的方法和面临的挑战,并演示了将密歇根州东南部的GPS自然驾驶数据与多个来源的GIS数据集成在一起的应用。集成数据集用于探索建筑环境与驾驶行为之间的联系,特别是商业集中度、驾驶速度、车辆停车和追尾事故之间的联系。驾驶速度是与交通安全相关的司机行为的一个重要决定因素,研究发现它与商业集中度呈负相关,这种模式不随一天中的时间而变化。追尾事故随着停车次数的增加而增加,而停车次数随着商业集中度的增加而增加。该演示表明,融合GPS和GPS数据可提供空间智能,可用于解决规划、交通安全和交通相关问题。语言:在
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