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- W2276640747 abstract "With demand for transportation outpacing the funding to increase supply, agencies are evaluating options for better managing demand on the system. This is particularly the case in downtown areas, where the confluence of workers creates extensive peak demand congestion. Emerging data sources provide opportunities to measure that congestion in different and innovative ways, including evaluating the impact of demand strategies. The purpose of this paper is to document lessons learned as part of an effort to develop a method for quantifying the contribution of state workers to roadway congestion in the downtown area of Austin, Texas. In an effort to leverage new data options, the research team sought to develop a method to identify the impact of state workers on Austin downtown congestion. As the Texas capital, Austin’s largest employer is the State of Texas; state employees were the target study group in this analysis. The study used privately sourced vehicle speed data to compare workdays on which state workers were not expected to commute (state holidays) with typical weekday travel. The underlying question was whether privately sourced congestion data could be used to quantify the impact of future travel demand management programs. While the findings of this research suggest that it is possible to quantitatively identify differences in peak hour congestion on state holidays versus typical workdays, the lessons learned show that the results cannot be conclusively linked to state worker travel only." @default.
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- W2276640747 date "2016-01-01" @default.
- W2276640747 modified "2023-09-23" @default.
- W2276640747 title "Lessons Learned in Developing a Method for Quantifying the Contribution of State Workers to Roadway Congestion in Downtown Austin, Texas" @default.
- W2276640747 hasPublicationYear "2016" @default.
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