An integrated spatio-temporal GIS toolkit for exploring intra-household interactions

This paper reports on the development of an integrated spatio-temporal GIS toolkit that facilitates the exploration of intra-household interactions. Two tools comprise the toolkit. The first tool, Space-Time Coincidence Analyst , identifies joint activity/travel episodes undertaken by household memb...

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Bibliographic Details
Published in:Transportation (Dordrecht) 2008-03, Vol.35 (2), p.253-268
Main Authors: Kang, Hejun, Scott, Darren M.
Format: Article
Language:English
Subjects:
Activity analysis
Applied sciences
Behavior
Data analysis
Datasets
Economic Geography
Economics
Economics and Finance
Engineering Economics
Exact sciences and technology
Geographic information systems
Geographical information systems
Geovisualization
GIS
Ground, air and sea transportation, marine construction
Households
Human behaviour
Innovation/Technology Management
Intra-household interaction
Joint activity
Logistics
Marketing
Organization
Panel surveys
Polls & surveys
Regional/Spatial Science
Space-time path
Spacetime
Spatio-temporal GIS
Statistical analysis
Transport
Travel
Travel behavior
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Summary:This paper reports on the development of an integrated spatio-temporal GIS toolkit that facilitates the exploration of intra-household interactions. Two tools comprise the toolkit. The first tool, Space-Time Coincidence Analyst , identifies joint activity/travel episodes undertaken by household members. The core of this tool is a set of flexible criteria for classifying episodes as either joint or independent. The second tool, Space-Time Path Visualizer , not only displays space-time paths for household members, but also shows joint episodes undertaken by any two household members together. The toolkit can be applied to any household-based, activity/travel data set so long as required information is specified by the user. To demonstrate its usefulness for research, the toolkit is applied to the TAPS (Toronto Activity Panel Survey) 2002–03 data set. The results suggest that considerable variation exists in the number of joint activity/travel episodes identified using different classification criteria. Specifically, when using restrictive criteria (i.e., same timing, specific activity type/travel mode), only 2,265 joint activity/travel episodes are identified compared to 8,791 when using more flexible criteria. In turn, our results show that certain key attributes for independent and joint activity/travel episodes (i.e., frequency per household, starting time, ending time and duration) also vary under the different classification criteria.
ISSN:0049-4488
1572-9435
DOI:10.1007/s11116-007-9146-4