Getting to Know the Data: Understanding assumptions, sensitivities, uncertainty, and being "conservative" while using ITE's Trip Generation Data in the Land Development Process

Event Date: 
Friday, April 14, 2017, 12:00pm to 1:00pm PDT
Speaker(s): 
Kristi Currans, Portland State University
Cost: 
Free
Credit: 
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Many agencies rely on trip generation estimates to evaluate the transportation impacts of land development in urban and suburban areas alike. Over the past decade, substantial attention has been paid to one national set of guidelines—the Institute of Transportation Engineers (ITE) Trip Generation Handbook (2014) and corresponding Manual (2012)—focusing in particular to improve the use of these data and supplementary methods for urban contexts. 

The purpose of this study is to explore the typical data provided in the Handbook, within the context of these new improved state-of-the-art methods. As ITE’s describes, “an example of poor professional judgment is to rely on rules of thumb without understanding or considering their derivation or initial context” (Institute of Transportation Engineers, 2014, p. 3). This research aims to improve the understanding of these data—still ubiquitously used across the US—to encourage increased engagement with their meaning, and following, to provide the users (e.g., engineering, planners, agencies, and developers) with the landscape from which these data were collected and for which they represent. From here, more informed decisions can be made about whether these data provide an adequate or accurate estimation transportation impacts within varying contexts and applications.

Kristina Currans is a doctoral candidate, graduate research assistant for Dr. Kelly J. Clifton, Dwight David Eisenhower Transportation Graduate Fellow, and National Institute for Transportation & Communities Graduate Fellow at Portland State University. She studies the relationships between travel behavior and land use. In particular, her recent research examines the discrepancies between the site-level evaluation (e.g., data, methods, metrics) of transportation impacts of new development and regionally planned goals and objectives. Ultimiately, her work is motivated by a desire to help communities plan for how they want to live and get around. Some of her other interests include R-programming, phone and tablet applications, passive data collection technologies, JavaScript and dynamic, interactive graphics, econometrics and stasistical analysis, survey design and administration, meta-analysis, discrete choice modeling and multilevel analysis.