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Title:

Investigating the Influence of Assigning a Higher Priority to Scheduling Work and School Activities in the Activity-Based Models on the Simulated Travel-Activity Patterns

Accession Number:

01663012

Record Type:

Component

Abstract:

Two dynamic, gap-based activity scheduling models are tested by applying a short-run microsimulation approach to replicate workers’ travel/activity patterns over a one-week time period. In the first model, a two-level work episode model is applied to schedule weekly work episodes. This includes joint choices of working or not on each day and work episode duration and start time in case of choosing to work. Assigning higher priority to scheduling work episodes, and assuming night sleep to be pre-determined, provides a weekly “skeleton schedule”. Non-work/school (NWS) episodes are then generated and scheduled in the available gaps as a joint choice of activity type and destination followed by a continuous time expenditure choice. The second model applies the same mathematical framework as the NWS model for scheduling all activity types including work/school, considering only night sleep as the pre-determined skeleton schedule. This exercise allows us to study the impact of assigning a higher priority to scheduling work/school activities on complete out-of-home travel/activity pattern prediction, compared to the alternative hypothesis,which is scheduling all the activities simultaneously. Comparing the simulation outcomes of the two models with the observed dataset reveals that organizing NWS episodes around the schedule skeleton not only is behaviorally more representative but also increases the accuracy of the predicted NWS episodes’ patterns. Moreover, applying the work scheduling model results in a more accurate prediction of the weekly work schedule compared to the second model.

Supplemental Notes:

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

Report/Paper Numbers:

18-03504

Language:

English

Authors:

Dianat, Leila
Habib, Khandker Nurul
Miller, Eric J

Pagination:

23p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Activity based modeling

Subject Areas:

Planning and Forecasting; Transportation (General)

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-03504

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:52AM