01556834

Component

https://doi.org/10.3141/2493-03

This study represents a research effort to capture explicitly the intrahousehold interactions involved in the decision to participate in a joint activity. Joint activity participation is a lesser-explored step in activity-based travel demand modeling, since enlisting all possible subsets of household members in a large household results in many alternatives. For example, the number of possible subsets of members out of 10 persons is 210 = 1,024. After the exclusion of one empty subset and 10 subsets with a single member, 1,013 distinct subsets should be considered with two or more members for joint activity participation. Even more important, a joint choice model formulation is behaviorally unappealing and would require the formulation of a complicated utility function for each possible subset. Additionally, different subsets would have a highly different degree of similarity that would require a sophisticated error structure. This paper analyzes three methods to model joint activity participation that are relatively easy to estimate and implement for households of any size. In all three methods, the travel party is constructed on the basis of the individual and pairwise propensities of the household members to be engaged in a joint activity. These propensities are statistically estimated on survey data in the form of relatively simple binary choice models. The travel party emerges in the process of microsimulation as a result of the reconciliation of the decisions of different household members. This approach is an example of the use of the agent-based modeling paradigm to frame an intrahousehold decision-making mechanism in addition to econometric models.

01595015

15-1908

English

pp 19–28

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369633

Print

Figures (4) ; References (13) ; Tables (3)

Choice models; Decision making; Econometric models; Households; Microsimulation; Travel demand

Activity based modeling; Agent based models; Intrahousehold interactions; Joint household travel

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

PRP, TRIS, TRB, ATRI

Dec 30 2014 12:41PM

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• Effects of Autonomous Vehicle Ownership on Trip, Mode, and Route Choice
• Estimating Route Choice Models from Stochastically Generated Choice Sets on Large-Scale Networks: Correcting for Unequal Sampling Probability
• Estimation of Annual Mileage Budgets for a Multiple Discrete-Continuous Choice Model of Household Vehicle Ownership and Utilization
• Exploration of Short-Term Vehicle Utilization Choices in Households with Multiple Vehicle Types
• Integrating CEMDAP and MATSIM to Increase the Transferability of Transport Demand Models
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• Synthetic Population Generation by Combining a Hierarchical, Simulation-Based Approach with Reweighting by Generalized Raking
• Using an Activity-Based Model to Explore the Potential Impacts of Automated Vehicles