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Portland State University

Civil Engineering

Pedestrians -- Safety measures

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Full-Text Articles in Engineering

Driver Comprehension Of Permissive Right-Turns With A Flashing Yellow Arrow (Fya), Christopher Monsere, David Hurwitz Oct 2018

Driver Comprehension Of Permissive Right-Turns With A Flashing Yellow Arrow (Fya), Christopher Monsere, David Hurwitz

PSU Transportation Seminars

This research explored driver comprehension and behaviors with respect to right-turn signal displays with a focus on the Flashing Yellow Arrow (FYA) in a driving simulator and a comprehension survey. Flashing yellow arrows are used in place of other turn signals, such as solid green or flashing yellow or red circles, to indicate that drivers may turn after yielding to oncoming traffic. These turns are considered “permissive.” Turns where no conflicting traffic is present, such as those indicated with a green arrow, are “protected” turns. The flashing yellow arrow’s inclusion in the 2009 Manual on Uniform Traffic Control Devices sped …


How To Estimate Pedestrian Demand, Kelly Clifton, Patrick Allen Singleton, Christopher D. Muhs, Robert J. Schneider Nov 2015

How To Estimate Pedestrian Demand, Kelly Clifton, Patrick Allen Singleton, Christopher D. Muhs, Robert J. Schneider

TREC Project Briefs

There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. Such efforts often require analytical non-motorized planning tools to estimate levels of pedestrian demand that are sensitive to environmental and demographic factors at an appropriate scale. Despite this interest and need, current forecasting tools, particularly regional travel demand models, often fall short.

To address this gap, Oregon Metro and NITC researcher Kelly Clifton worked together to develop a pedestrian demand estimation tool. For generations, planners have been using statistical models to forecast travel demand, but these models have traditionally been auto-centered. …


Development Of A Pedestrian Demand Estimation Tool, Kelly Clifton, Patrick Allen Singleton, Christopher D. Muhs, Robert J. Schneider Sep 2015

Development Of A Pedestrian Demand Estimation Tool, Kelly Clifton, Patrick Allen Singleton, Christopher D. Muhs, Robert J. Schneider

Civil and Environmental Engineering Faculty Publications and Presentations

Most research on walking behavior has focused on mode choice or walk-trip frequency. In contrast, this study is one of the first to analyze the destination choice behaviors of pedestrians. Using about 4,500 walk trips from a 2011 household travel survey in the Portland, OR, region, we estimated multinomial logit pedestrian destination choice models for six trip purposes. Independent variables included terms for impedance (walk-trip distance); size (employment by type, households); supportive pedestrian environments (parks, a pedestrian index of the environment variable called PIE); barriers to walking (terrain, industrial-type employment); and traveler characteristics. Unique to this study was the use …


Development Of A Pedestrian Demand Estimation Tool: A Destination Choice Model, Christopher D. Muhs, Kelly Clifton, Patrick Allen Singleton, Robert J. Schneider May 2015

Development Of A Pedestrian Demand Estimation Tool: A Destination Choice Model, Christopher D. Muhs, Kelly Clifton, Patrick Allen Singleton, Robert J. Schneider

Civil and Environmental Engineering Faculty Publications and Presentations

There is growing support for improvements to the quality of the walking environment, including more investments to promote pedestrian travel. Planners, engineers, and others seek improved tools to estimate pedestrian demand that are sensitive to environmental and demographic factors at the appropriate scale in order to aid policy-relevant issues like air quality, public health, and smart allocation of infrastructure and other resources. Further, in the travel demand forecasting realm, tools of this kind are difficult to implement due to the use of spatial scales of analysis that are oriented towards motorized modes, vast data requirements, and computer processing limitations.

To …