01764226

Component

https://annualmeeting.myt...nlineProgram/Details/15779

With the rapid development of information and telecommunication technology, joint activity or joint travel constitutes an important share of individual’s daily activity-travel pattern. In recent years, joint activity-travel pattern (JATP) scheduling models have been developed to investigate individuals’ independent and joint activity/travel choice behavior. The additional benefit resulting from joint activity/travel, which is related to the length of joint episode, is identified of significant concern in individuals’ JATP scheduling. In previous JATP scheduling models, joint activity/travel benefit is generally modeled with simulated parameter. As a pioneering endeavor, this study is devoted to quantifying the relationship between joint activity/travel benefit and JATP utility with specific consideration of joint episode’s length based on activity-travel survey data. A two-stage framework is proposed to estimate joint activity/travel benefit in JATP scheduling model. At the first stage, a bi-level programming model is proposed to estimate the joint activity/travel benefit. At the second stage, Kalman Filter is used to reduce the influence of deviation of survey data on the accuracy of estimating joint activity/travel benefit. The proposed method is examined with the data of travel characteristics survey collected in Hong Kong. The results show that the proposed method is effective in estimating joint activity/travel benefit for JATP scheduling model.

This paper was sponsored by TRB committee AEP30 Standing Committee on Traveler Behavior and Values.

TRBAM-21-03388

English

18p

2021

Transportation Research Board 100th Annual Meeting

Web

Figures; References; Tables

Estimating; Public transit; Scheduling; Surveys; Travel behavior; Travel demand; Travel patterns

Highways; Planning and Forecasting

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-03388

TRIS, TRB, ATRI

Dec 23 2020 11:22AM