An analysis of the factors influencing differences in survey-reported and GPS-recorded trips
An analysis of the factors influencing differences in survey-reported and GPS-recorded trips
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DOI：
10.1016/j.trc.2011.09.005
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发表时间：
2012-04-01
影响因子：
8.3
通讯作者：
Bhat, Chandra R.
中科院分区：
文献类型：
--
作者：
Bricka, Stacey G.;Sen, Sudeshna;Bhat, Chandra R.
全球定位系统技术的最新进展导致家庭旅行调查方法的转变，即测试使用全球定位系统记录旅行细节，然后应用一种算法来确定旅行和估算旅行目的，通常还辅以一定程度的应答者确认，即通过重复回忆调查。当研究界评估这种新方法是否有可能取代传统的调查报告收集方法时，重要的是要考虑GPS记录和算法估算的详细信息捕获旅行详细信息的效果如何，以及传统的调查报告收集方法是否可能是首选对于某些类型的旅行。本文认为两个措施的旅行强度（调查报告和GPS记录）的两个行程目的（工作和非工作）作为因变量的联合有序响应模型。实证分析使用的样本来自2009年印第安纳波利斯地区家庭旅行调查的全面研究。该样本中的个人提供了有关其旅行调查日的日记细节，并在同一24小时内携带可穿戴GPS装置。实证结果提供了重要的见解有关的两种不同的数据收集模式（日记和GPS）的旅行强度的措施的差异。结果表明，需要更多的研究，在工作场所识别算法的发展，全球定位系统应继续使用，而不是代替传统的日记的方法，并分配个人的全球定位系统或日记调查方法应考虑人口统计和其他特点。(C)2011爱思唯尔有限公司保留所有权利。
Recent advances in global positioning systems (GPS) technology have resulted in a transition in household travel survey methods to test the use of GPS units to record travel details, followed by the application of an algorithm to both identify trips and impute trip purpose, typically supplemented with some level of respondent confirmation via prompted-recall surveys. As the research community evaluates this new approach to potentially replace the traditional survey-reported collection method, it is important to consider how well the GPS-recorded and algorithm-imputed details capture trip details and whether the traditional survey-reported collection method may be preferred with regards to some types of travel. This paper considers two measures of travel intensity (survey-reported and GPS-recorded) for two trip purposes (work and non-work) as dependent variables in a joint ordered response model. The empirical analysis uses a sample from the full-study of the 2009 Indianapolis regional household travel survey. Individuals in this sample provided diary details about their travel survey day as well as carried wearable GPS units for the same 24-h period. The empirical results provide important insights regarding differences in measures of travel intensities related to the two different data collection modes (diary and GPS). The results suggest that more research is needed in the development of workplace identification algorithms, that GPS should continue to be used alongside rather than in lieu of the traditional diary approach, and that assignment of individuals to the GPS or diary survey approach should consider demographics and other characteristics. (C) 2011 Elsevier Ltd. All rights reserved.