01660441

Component

Travel behavior data enable the understanding of why, how, and when people travel, and play a critical role in travel trend monitoring, transportation planning, and policy decision support. Departments of Transportation (DOTs) at both federal and state levels have strategically invested in travel behavior information gathering. While the estimation of travel trends plays a critical role in different aspects of urban development and traffic monitoring, the potential of public domain data lacks significant study. With decision makers increasingly requesting recent and up-to-date information on travel trends, establishing a sustainable and timely travel monitoring program based on available data sources from the public domain is in order. In this paper, a package of comprehensive methods that utilize all data accessible to the public is developed. This package can be applied to disaggregate state level traffic monitoring data into metropolitan statistical areas to understand the traffic pattern dynamically. Additionally, a case study of Seattle MSA is presented as a demonstration of the reliability and accuracy of the proposed methods.

This paper was sponsored by TRB committee ADB50 Standing Committee on Transportation Planning Applications.

18-04545

English

5p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

References

Data analysis; Methodology; Multimodal transportation; Travel behavior

Seattle (Washington)

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

Transportation Research Board Annual Meeting 2018 Paper #18-04545

TRIS, TRB, ATRI

Jan 8 2018 11:06AM