01099502

Component

https://doi.org/10.3141/2054-10

http://scholar.google.com...erty&publication_year=2008

This paper presents results from an in-depth survey method for capturing the content and attributes of peoples’ preplanned schedules. The focus is on preplanned daily activity and travel events, their typically observable attributes (event type, start and end time, location, and involved person), and the extent to which these attributes are specified and elaborated on. The survey started with an interviewer simply asking subjects to write down or discuss their schedule for the next 2 days in as much or as little detail as they knew. The interviewer subsequently probed for further details as needed. This method elicited considerable detail on decision hierarchies in the subjects’ own words. Overall, it was found that activity type is the most often preplanned activity attribute, followed by location, start time, involved persons, and end time. For trips, the mode type and start time are most often planned, followed by involved persons and end time. Additional analysis further confirms that the preplanning is an ongoing decision process, wherein tentative decisions on each attribute are often made and then revisited at some point closer to execution. The implications of these findings for model development and future survey design are discussed. In particular, the results imply that activity scheduling models should adopt a nested or continuous planning loop, wherein certain activity attribute decisions are made first but are followed by subsequent stages of refinement and elaboration.

01113825

English

pp 83-92

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309113243

Print

Figures (4) ; References (15) ; Tables (3)

Activity choices; Decision making; Schedules and scheduling; Travel behavior; Travel surveys; Trip purpose

Traveler planning

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 29 2008 5:24PM

• Analysis of Activity Conflict Resolution Strategies
• Analysis of Planning Decisions During the Activity-Scheduling Process
• Destination Choice in Daily Activity Travel: Mental Map’s Repertoire
• Improved Motif Identification of Activity Sequences: Application to Interactive Computer Experiment Data
• Network Equilibrium with Activity-Based Microsimulation Models: The New York Experience
• Random Utility-Based Microeconomic Model for Discretionary Activity Time Allocation
• Studying Differences of Household Weekday and Weekend Activities: A Duration Perspective
• Synchronicity of Activity Engagement and Travel in Time and Space: Descriptors and Correlates of Field Observations
• Tour-Based Time-of-Day Choices for Weekend Nonwork Activities
• Variability of Travel over Multiple Days: Analysis of Three Panel Waves
• Weekly Rhythm in Joint Time Expenditure for All At-Home and Out-of-Home Activities: Application of Kuhn-Tucker Demand System Model Using Multiweek Travel Diary Data