A computerized household activity scheduling survey |
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Authors: | Sean T Doherty Eric J Miller |
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Institution: | (1) Department of Civil Engineering, University of Tornoto, Ontario, M5S 1A4, Canada;(2) Department of Urban and Regional Planning, Laval University, 1624 Pav. F-A Savard, Quebec City, Canada, G1K 7P4 |
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Abstract: | Household activity scheduling is widely regarded as the underlying mechanism through which people respond to emerging travel
demand management policies. Despite this, very little fundamental research has been conducted into the underlying scheduling
process to improve our understanding and ability forecast travel. The experimental survey approach presented in this paper
attempts to fill this gap. At the core of the survey is a Computerized Household Activity Scheduling (CHASE) software program.
The program is unique in that it runs for a week long period during which time all adult household members login daily to
record their scheduling decisions as they occur over time. An up-front interview is used to define a household's activity
agenda and mode availability. A sample of 41 households (66 adults and 14 children) was used to assess the performance of
the survey. Analysis focuses on times to completion, daily scheduling steps, activity-travel patterns, and scheduling time
horizons. Overall, the results show that the computer-based survey design was successful in gathering an array of information
on the underlying process, while minimizing the burden on respondents. The survey was also capable of tracing traditionally
observed activity-travel outcomes over a multi-day period with minimal fatigue effects. The paper concludes with a detailed
discussion on future survey design, including issues of instrument bias, use of the Internet, and improved tracing of spatial
behaviour. Future use of the survey methodology to enhance activity-travel diary surveys and stated responses experiments
is also discussed.
This revised version was published online in June 2006 with corrections to the Cover Date. |
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Keywords: | activity scheduling computers respondent burden survey methods travel behaviour |
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