01659503

Component

The paper aims to investigate the application of agent-based simulation and web-based routing applications in synthesizing the attributes of unchosen alternatives in a mode choice model. Revealed preference data usually contains rich information on travelers’ real-world constraints and preferences. However, it often lacks information on unchosen alternatives which prevents researchers to take a full advantage of the data. This work addresses this problem by using simulation and web-based routing applications to synthesize the missing information. The synthesized data are compared with household travel survey data, and are used to estimate a series of mode choice models. The implied values of travel time are also reported and compared. The results demonstrate high correlation between the synthesized and real-world data. The estimated value of travel time is shown to be aligned with the previous studies for commuters and non-commuters. Overall, the paper demonstrates the applicability of synthesized data in estimating the attributes of unchosen alternatives in travel behavior studies and the sensitivity of the implied value of travel time to the data sources used in estimating missing information.

This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values. Alternate title: Synthesizing Attributes of Unchosen Alternatives in a Mode Choice Model Using an Agent-Based Model and Web-Based Multimodal Trip Planners

18-00543

English

5p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Alternatives analysis; Data collection; Mathematical models; Mode choice; Multimodal transportation; Travel behavior; Web applications

Agent based models; Trip planning

Data and Information Technology; Planning and Forecasting; Transportation (General)

Transportation Research Board Annual Meeting 2018 Paper #18-00543

TRIS, TRB, ATRI

Jan 8 2018 10:09AM