PRESENTATION ARCHIVE

OVERVIEW

The aim of this research is to investigate pedestrian behavior at signalized intersections using state-of-the-art LIDAR sensing technologies and to use this data, along with vehicular data, to develop a more effective multimodal signal control system.

In the presentation, the presenters will describe a novel method of collecting pedestrian crossing behaviors at signalized intersection, discuss the findings and implications of data analytics, and introduce a novel approach to dynamic flashing yellow arrow mechanisms to reduce the conflict between left turn vehicles and crossing pedestrians.

KEY LEARNING OUTCOMES

  • Understand the framework of LiDAR sensing solutions;
  • Understand how to collect pedestrian behaviors at intersections;
  • Understand how to provide new protection for crossing pedestrians with object-tracking technologies.

THE RESEARCH

This webinar is based on a study funded by the National Institute...

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The video starts at 0:58.

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Abstract: Walking and bicycling are being promoted as transportation options that can increase the livability and sustainability of communities, but the automobile remains the dominant mode of transportation in all United States metropolitan regions. In order to change travel behavior, researchers and practitioners need a greater understanding of the mode choice decision process, especially for walking and bicycling.

This presentation will summarize dissertation research on factors associated with walking and bicycling for routine travel purposes, such as shopping. More than 1,000 retail pharmacy store customers were surveyed in 20 San Francisco Bay Area shopping districts in fall 2009, and 26 follow-up interviews were conducted in spring and summer 2010. Mixed logit models showed that walking was associated with shorter travel distances, higher population densities, more street tree canopy coverage, and greater enjoyment of walking. Bicycling was associated with shorter travel distances, more bicycle facilities, more bicycle parking, and greater enjoyment of bicycling. Respondents were more likely to drive when they perceived a high risk of crime, but automobile use was discouraged by higher employment densities, smaller parking lots,...

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Steven Gehrke, Ph.D. Candidate, Portland State University

Topic: An Activity-related Land Use Mix Construct and Its Connection to Pedestrian Travel

Land use mix is a central smart growth principle connected to active transportation. This presentation describes the indicators of local land use mixing and their association with pedestrian travel in Oregon’s Willamette River Valley. It argues that land use mix is a multidimensional construct reflected by the complementarity, composition, and configuration of land use types, which is positively linked to walk mode choice and home-based trip frequency. Findings from this study underline the conceptual and empirical benefit of analyzing this transportation-land use interaction with a landscape pattern measure of activity-related composition and spatial configuration.

Steven Gehrke is a Ph.D. candidate in Civil and Environmental Engineering at Portland State University. His research examines the transportation-land use interaction,...

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The video begins at 5:27.

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Abstract: Today, most streets are designed and managed to meet mobility standards that focus on the movement of motor vehicles, failing to adequately accommodate and prioritize transit, walking, and biking. A new culture of innovation is needed in transportation as traditional solutions alone will not suffice. By 2035, the Portland Plan envisions transportation facilities that are designed and managed to prioritize travel investments that improve walking, biking, and universal accessibility as the first priority.

In support of this vision, Peter Koonce, Manager of the City's Signals, Street Lighting, & ITS Division will discuss how he's looking to make the City's traffic signals consistent with these goals resulting in more effective integration of land use, transit, cycling, and walking. The discussion will be centered around research that is needed to improve our understanding of best practices from the U.S. and Europe for application in Portland.

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Why model pedestrians?

A new predictive tool for estimating pedestrian demand has potential applications for improving walkability. By forecasting the number, location and characteristics of walking trips, this tool allows for policy-sensitive mode shifts away from automobile travel.

There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. 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...

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RECAP: WEBINAR VIDEO + SLIDES

Missed the presentation or want a look back at the slides? Check out the video below or view the presentation slides here.

Webinar: Case Studies in the FTA "Manual on Pedestrian and Bicycle Connections to Transit"

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