01099173

Component

https://doi.org/10.3141/2054-02

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

This paper attempts to model the process of activity scheduling conflict resolution with actual scheduling process data. The resolution of activity scheduling conflicts is a critical component of rule-based activity scheduling models. Many current scheduling models use an assumed priority for each activity type to estimate how activity conflicts will be resolved, but research has shown that these activity type-based priority assumptions often do not hold in actuality. Therefore, the conflict resolution data captured in the scheduling process survey were used to estimate and evaluate a number of conflict resolution models, including a decision tree model and two discrete choice models. Both the conflict resolution decision tree model and the discrete choice models showed a promising ability to predict the resolution strategies chosen almost entirely on the basis of the attributes of the activities in conflict and characteristics of the surrounding schedule. These models present a useful advance in increasing the realism and accuracy of rule-based activity scheduling models.

01113825

English

pp 10-19

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309113243

Print

Figures (1) ; References (18) ; Tables (6)

Activity choices; Conflict management; Decision making; Decision trees; Schedules and scheduling; Travel behavior; Travel patterns

Activity scheduling models; Discrete choice models; Rule-based models

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

TRIS, TRB, ATRI

Jan 29 2008 3:47PM

• Analysis of Planning Decisions During the Activity-Scheduling Process
• Destination Choice in Daily Activity Travel: Mental Map’s Repertoire
• Examining the Nature and Extent of the Activity-Travel Preplanning Decision Process
• 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