01514323

Component

In recent years, there has been an emphasis to better understand how intra-household relationships impact activity participation decisions. In most operational activity-based model (ABM) systems developed in the U.S., a day activity pattern model is used to describe an individual’s overall activity engagement for a day. Typically, intra-household interactions are controlled for explicitly in such models. This paper uses a latent class model framework of day activity pattern to capture these intra-household relationships. This is achieved by defining the latent class structure at the household level. While independence is assumed across individual activity pattern choices conditional upon household class membership, the household class structure, nonetheless, results in interdependencies emerging across household members. The model uses data from the Houston-Galveston region and is compared to the day activity pattern model estimated for that region’s ABM. Results suggest the latent class specification is well-suited to this choice context, both in terms fitting the observed data, and in terms of matching observed joint distributions of day activity pattern choice across members of the same household. Moreover, the model specification is easy to interpret and implement, and can easily accommodate households of any size.

This paper was sponsored by TRB committee ADB40 Transportation Demand Forecasting. Alternate title: Understanding Joint Daily Activity Pattern Choices Across Household Members Using Latent Class Model Framework.

01503729

14-0583

English

19p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Activity choices; Households; Travel demand

Activity-based models; Daily activity plans; Intrahousehold interactions

Galveston (Texas); Houston (Texas)

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

Transportation Research Board Annual Meeting 2014 Paper #14-0583

TRIS, TRB, ATRI

Jan 27 2014 2:16PM