Developing tour-based data from multi-day GPS data

Yun Zhang, Peter Stopher, Qingjian Jiang

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations


The purpose of the research reported in this paper is to understand travel patterns by applying tour-based analysis and using sociodemographic variables to characterise travel patterns to explore new opportunities of developing activity-based and tour-based models. The data used in this research is from an Australian panel where 200 households provided GPS data for a period of 7 days with a small sub-sample (43 households) for 28 days, with a total of 388 persons. This paper presents the results of tour analyses of the above data, which include the distribution of tours per day and the trips per tour, the distribution of tour duration and the starting times, followed by a summary of important considerations when dealing with tour-based data. We further introduce an extended tour classification, using twelve tour types based on a hierarchy of trip purposes of work, education, shopping, and other. With the application of the new tour classification, we present findings concerning the composition of the tours (simple or complex tours) and sociodemographic characteristics, such as employment or education status and the stages in the family life cycle.

Original languageEnglish (US)
StatePublished - 2010
Externally publishedYes
Event33rd Australasian Transport Research Forum, ATRF 2010 - Canberra, ACT, Australia
Duration: Sep 29 2010Oct 1 2010


Conference33rd Australasian Transport Research Forum, ATRF 2010
CityCanberra, ACT

ASJC Scopus subject areas

  • Transportation


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