Files

Download

Download Presentation (3.5 MB)

Streaming Media

Date

4-14-2017

Description

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.

Biographical Information

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.

Subjects

Trip generation, Institute of Transportation Engineers, Origin and destination traffic surveys -- Case studies, Household surveys, Urban transportation

Disciplines

Transportation Engineering | Urban Studies and Planning

Persistent Identifier

http://archives.pdx.edu/ds/psu/24307

Getting to Know the Data: Understanding Assumptions, Sensitivities, Uncertainty, and Being

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.