01520273

Component

New data sources are emerging which can improve transportation planning and travel demand modeling efforts. An alternative data source in Washington is the Commute Trip Reduction (CTR) survey. The CTR survey provides a rich but currently untapped data source. This paper describes how this data source can be used in various applications, from studying commuter travel patterns and understanding regional trends to using the commuter flows to improve transit ridership models. The CTR data provides information similar to what was formerly collected by the US Census Journey-to-Work survey, though the CTR survey is a richer data source with a larger sample size. The Journey-to-Work survey was replaced by the American Community Survey (ACS), which provides a wealth of information but does not provide any information related to origin-destination patterns. This limits its use in many modeling applications. The ACS is further hampered by smaller sample sizes and subsequent higher uncertainty at fine geographic detail. The CTR survey responds to these shortcomings by offering a data source suitable for the kinds of analysis needed by today’s transportation planners.

This paper was sponsored by TRB committee ABJ40 Travel Survey Methods.

01503729

14-4869

English

13p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Commuting; Data analysis; Modal split; Ridership; Travel demand; Travel demand management; Travel surveys; Work trips

Washington (State)

Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2014 Paper #14-4869

TRIS, TRB, ATRI

Jan 27 2014 3:42PM