An Automated GPS-Based Prompted Recall Survey With Learning Algorithms

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“An Automated GPS-Based Prompted Recall Survey With Learning Algorithms” by Joshua Auld, Chad A. Williams, Abolfazl Mohammadian, and Peter C. Nelson. Transportation Letters: The International Journal of Transportation Research, vol. 1, no. 1, Jan. 2009, pp. 59-79.

Abstract

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.

Keywords: {GPS}, survey methods, learning algorithms, travel survey, travel behavior, prompted recall

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BibTeX entry:

@article{AWMN09,
   author = {Joshua Auld and Chad A. Williams and Abolfazl Mohammadian and
	Peter C. Nelson},
   title = {An Automated {GPS}-Based Prompted Recall Survey With Learning
	Algorithms},
   journal = {Transportation Letters: The International Journal of
	Transportation Research},
   volume = {1},
   number = {1},
   pages = {59-79},
   month = jan,
   year = {2009},
   url = {http://jrosspub.metapress.com/content/hh76777hv6647262/}
}