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Small Data: Local Trip Generation Data and Developing a Better Model for the City of Austin, Texas

Did you know that vehicle trip generation estimates used by engineers and planners may be overestimated by more than 50 percent? We came up with an alternative model.

BIG RED DOG’s Director of Transportation Services Dan Hennessey, P.E., PTOE published a paper titled Small Data: Local Trip Generation Data and Developing a Better Model for the City of Austin, Texas.

Click here to download a PDF of the paper.

Dan and his team at BIG RED DOG analyzed existing data to show that vehicle trip generation estimates used by engineers and planners may have been overestimated by more than 50 percent. To remedy this, a local vehicle trip generation model was developed that accounts for specific characteristics of the development, availability of non-auto modes, and the demographic profile of the surrounding area. This model could be replicated for most jurisdictions within the United States.

awards

Dan presented the paper at the 2018 ITE Joint Western & Texas District Meeting in Keystone, Colorado. The paper was awarded 2018 TexITE Technical Paper Award, which was presented at the TexITE Business Luncheon in November 2018 at the joint meeting of TexITE and ITS Texas. The award recognizes the author(s) of a paper prepared by a non-student member or affiliate of the Texas District.

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