An automated GPS-based prompted recall survey with learning algorithms
An automated GPS-based prompted recall survey with learning algorithms
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DOI：
10.3328/tl.2009.01.01.59-79
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发表时间：
2009-01-01
影响因子：
2.8
通讯作者：
Nelson, Peter
中科院分区：
文献类型：
--
作者：
Auld, Joshua;Williams, Chad;Nelson, Peter
随着技术的成熟，利用全球定位系统技术收集家庭旅行数据的重要性日益增加。本文记录了全球定位系统旅行调查领域的最新发展以及全球定位系统被纳入甚至取代传统家庭旅行调查方法的方式。一个新的家庭活动调查，它使用自动化的数据减少方法，以确定活动和旅行地点的基础上开发的一系列地理数据的土地使用数据和旅行的特点。该算法用于基于互联网的提示召回调查，利用先进的学习算法，以减少调查受访者的负担。讨论了一个小型试点研究的初步结果，并提出了今后工作的潜在领域。
Using GPS technology in the collection of household travel data has been gaining importance as the technology matures. This paper documents recent developments in the field of GPS travel surveying and ways in which GPS has been incorporated into or even replaced traditional household travel survey methods. A new household activity survey is presented which uses automated data reduction methods to determine activity and travel locations based on a series of heuristics developed from land-use data and travel characteristics. The algorithms are used in an internet-based prompted recall survey which utilizes advanced learning algorithms to reduce the burden placed on survey respondents. Initial results of a small pilot study are discussed and potential areas of future work are presented.