Comparison of trip determination methods in household travel surveys enhanced by a Global Positioning System
Comparison of trip determination methods in household travel surveys enhanced by a Global Positioning System
复制标题
DOI：
10.3141/1917-08
复制
发表时间：
2005-01-01
期刊：
影响因子：
--
通讯作者：
Pearson, DF
中科院分区：
文献类型：
--
作者：
Forrest, TL;Pearson, DF
全球定位系统 (GPS) 车辆跟踪的改进催生了交通规划中的新分析方法。新兴的地理信息系统有助于开发专门用于旅行需求预测的数据收集和分析新技术。 2002年，德克萨斯州拉雷多市有150多个家庭参加了一项GPS增强的家庭出行调查。通过计算机辅助电话访谈 (CATI) 收集旅行日记数据，并从调查参与者的车辆收集 GPS 旅行数据。出于旅行目的，对两个数据集的比较产生了显着的结果。结果发现，GPS 数据中的出行次数远大于 CATI 数据中报告的次数。尽管如此，在 GPS 数据中找到的几乎所有家庭工作 (HBW) 行程也在 CATI 数据中找到。该结果与其他旅行目的截然不同：居家非工作 (HBNW) 和非居家 (NFIB)；对于这两个行程目的，在 GPS 数据中找到的行程中，CATI 数据中找到的行程不到一半。该结果表明，CATI 收集研究地区某些类型旅行的流程可能存在严重缺陷。此外，家庭规模和家庭收入被发现是影响 CATI 数据报告准确性的重要因素。尽管如此，CATI方法的家庭出行数据检索仍然被认为是一种有效且有价值的工具。
Improvements in vehicular tracking with Global Positioning Systems (GPSs) have fostered new analysis methods in transportation planning. Emerging geographical information systems have helped in developing new techniques in the collection and analysis of data specifically for travel demand forecasting. In 2002, more than 150 households in Laredo, Texas, participated in a GPS-enhanced household travel survey. Trip diary data were collected by means of a computer-assisted telephone interview (CATI), and GPS trip data were collected from survey participants' vehicles. For trip purpose, a comparison of the two data sets yielded significant results. It was found that the number of trips in the GPS data was much greater than the number reported in the CATI data. Despite that, almost all home-based work (HBW) trips found in the GPS data were also found in the CATI data. That result differs sharply from the other trip purposes: home-based nonwork (HBNW) and non-home-based (NFIB); for these two trip purposes, less than half the trips found in the GPS data were found in the CATI data. That result indicates the potential for serious deficiencies in the CATI process for collecting certain types of trips in the region of study. In additional, household size and household income were found to be significant factors affecting the reporting accuracy in the CATI data. Despite that, the CATI method of household trip data retrieval is still considered to be an effective and valuable tool.