Semiautomatic imputation of activity travel diaries: use of global positioning system traces, prompted recall, and context-sensitive learning algorithms

A. Moiseeva, A.J. Jessurun, H.J.P. Timmermans

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Anastasia Moiseeva, Joran Jessurun and Harry Timmermans (2010), ‘Semiautomatic Imputation of Activity Travel Diaries: Use of Global Positioning System Traces, Prompted Recall, and Context-Sensitive Learning Algorithms’, Transportation Research Record: Journal of the Transportation Research Board, No. 2183, Washington, DC, USA: Transportation Research Board, National Academy of Sciences, 60–68
Original languageEnglish
Title of host publicationNew technologies and transport research
Subtitle of host publicationapplications of GPS in travel surveys
EditorsP. Stopher
PublisherEdward Elgar Publishing
Pages60-68
ISBN (Print)978-1-78347-486-8
Publication statusPublished - 2016

Publication series

NameClassics in Transport and Environmental Valuation series

Fingerprint Dive into the research topics of 'Semiautomatic imputation of activity travel diaries: use of global positioning system traces, prompted recall, and context-sensitive learning algorithms'. Together they form a unique fingerprint.

Cite this