01629518

Component

https://doi.org/10.3141/2664-04

A microeconomic theory–based multiple discrete–continuous choice model was developed to accommodate (a) both time allocation and goods consumption as decision variables in the utility function, (b) both time and money budget constraints governing the activity participation and goods consumption decisions, (c) a finite probability of zero consumption and zero time allocation (i.e., corner solutions), and (d) technical constraints in the form of minimum consumption levels for any good that would be consumed and minimum time allocation for any activity conducted. The proposed model was applied in the form of a latent class model (to consider heterogeneity) on a Dutch data set to understand the determinants of weekly time use and goods consumption behavior.

01656344

17-05571

English

0000-0002-0715-8121

pp 31–41

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442077

Digital/other

References (22) ; Tables (3)

Behavior; Choice models; Consumption; Hours of labor; Leisure time; Microeconomics; Time; Value of time

Netherlands

Planning and Forecasting; Transportation (General)

TRIS, TRB, ATRI

Dec 8 2016 12:13PM

• Activity Cancellation and Rescheduling by Stressed Households: Improving Convergence in Integrated Activity-Based and Dynamic Traffic Assignment Models
• Activity Duration Analysis: Discrete-Time Approach for Recurrent Events, Competing Risks, and Multiple States
• Carless or Car Later? Declining Car Ownership of Millennial Households in the Puget Sound Region, Washington State
• Estimation of New Monetary Valuations of Travel Time, Quality of Travel, and Safety for Singapore
• Investigation of Heterogeneity in Vehicle Ownership and Usage for the Millennial Generation
• Measuring Stability of Mode Choice Behavior
• Mediation Effects of Income on Travel Mode Choice: Analysis of Short-Distance Trips Based on Path Analysis with Multiple Discrete Outcomes
• Schedule Consistency for Daily Activity Chains in Integrated Activity-Based Dynamic Multimodal Network Assignment
• Stated-Choice Design Factors Affecting Probability of Nontrading and Precision of Value-of-Time Estimates: Meta-Analysis of Individual Participant Data
• Two-Level, Dynamic, Week-Long Work Episode Scheduling Model