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Title:

Modeling Type and Duration of In-home Activities in ADAPTS Activity-Based Framework

Accession Number:

01625867

Record Type:

Component

Abstract:

In-home activities have been traditionally ignored in the analysis of individuals’ activity planning and scheduling process, mainly because of two reasons: (i) in-home activities are not directly involved with trips; and (ii) scarcity of data sources that provide needed details on planning and scheduling of in-home activities. Considering the interchangeable nature of out-of-home and in-home activities, and significant effects that they have on each other, the authors argue that failing to consider in-home activities may result in overestimating frequency and duration of out-of-home activities, which may lead to inconsistent and unrealistic activity schedules. Recently, the ADAPTS activity-based model has been upgraded to account for planning and scheduling of both in-home and out-of-home activities. This paper aims to enhance the in-home activity-planning module by modeling the type and duration of the in-home activities in a joint structure. Such modeling structure should capture the unrestricted correlation among activity attributes. To achieve this goal, using the American Time Use Survey (ATUS) data, the authors estimate twelve joint discrete- continuous models for 2-hour time periods in a day of individuals’ schedule. In each time period, activity- types and activity-duration choices are estimated by a multinomial logit and a log-linear regression model, respectively. The two models in each time period are jointly estimated using copula approach that captures the shared effects between the two choices. The goodness-of-fit measures and prediction accuracy of the models suggest that the joint models significantly outperform the independent models.

Supplemental Notes:

This paper was sponsored by TRB committee ADB00 Section - Travel Analysis Methods.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-01207

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Shabanpour, Ramin
Golshani, Nima
Langerudi, Mehran Fasihozaman
Javanmardi, Mahmood
Mohammadian, Abolfazl (Kouros)

Pagination:

16p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Planning and Forecasting; Transportation (General)

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-01207

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:22AM