Detecting activity types and trip purposes from passive GPS data: A data mining approach

Donggen WANG, Bingxia Sun

Research output: Chapter in book/report/conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

The increasing demand for more accurate and more detailed data for activity-travel behavior studies has posted great challenges to the conventional data collection methods which suffer from under-reporting, inaccurate information on time and location and low response rate. The development of positioning technologiessuch as Global Positioning System (GPS) and the integration of GPS with ground-based wireless communication network have provided new opportunities for collecting activity-travel behavior data (Wolf 2000). Positioning technologies offer the possibility to trace an individual’s spatiotemporal trajectory –.i.e., recording the locations of individuals second by second and the speed of movement between locations. As individuals’ activity and time use patterns are imbedded in their daily spatiotemporal trajectories, since the 1990s, many have proposed to use GPS to collect activity and time use data (Timmermans et al. 2009; Chen et al. 2010). It is anticipated that the GPS-based method can not only collect behavior data with better accuracy and completeness, but also reduce the burden o respondents greatly (Draijer et al. 2000; Forrest and Pearson 2005; Stopher et al. 2006).

Original languageEnglish
Title of host publicationSpace-Time Integration in Geography and GIScience
Subtitle of host publicationResearch Frontiers in the US and China
PublisherSpringer Netherlands
Pages211-234
Number of pages24
ISBN (Electronic)9789401792059
ISBN (Print)9789401792042
DOIs
Publication statusPublished - 1 Jan 2015

Scopus Subject Areas

  • Earth and Planetary Sciences(all)

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