Getting Trip Generation Right: Eliminating the Bias Against Mixed Use Development

PAS Memo — May-June 2013

By Jerry Walters, Brian Bochner, Reid Ewing

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When planners, developers, or traffic engineers conduct traffic impact analyses for proposed developments, they typically use the trip-generation data and analysis methods published by the Institute of Transportation Engineers (ITE) in its Trip Generation report and Trip Generation Handbook. However, these conventional methods fail to account for the benefits of mixed use and other forms of lower-impact development; they exaggerate estimates of impacts and result in excessive development costs, skewed public perceptions, and decision-maker resistance.

This PAS Memo article explains the MXD+ method of traffic generation analysis for mixed use developments, which combines the advantages of two major studies' methodologies to increase accuracy, allowing for more appropriate on-site design features and off-site mitigation measures.


Details

Page Count
14
Date Published
May 1, 2013
Format
Adobe PDF
Publisher
American Planning Association

About the Authors

Jerry Walters

Brian Bochner

Reid Ewing
Reid Ewing, Ph.D., is Distinguished Professor of City and Metropolitan Planning at the University of Utah, Distinguished Chair for Resilient Places, and Associate Editor of the top ranked Cities journal. He directs the Metropolitan Research Center at the U. He holds master’s degrees in Engineering and City Planning from Harvard University, and a Ph.D. in Urban Planning and Transportation Systems from the Massachusetts Institute of Technology. A recent citation analysis found that Ewing, with more than 27,000 citations, is the 5th most highly cited among 1,100 planning academic planners in North America. His recent article on COVID-19 and urban density, published in the Journal of the American Planning Association, already has more than 34,000 views on the JAPA website, the second most in JAPA history. He also has the second most cited JAPA article, Travel and the Built Environment: A Meta-Analysis.