It’s a common occurrence: a digital signboard over the freeway tells you to expect a 15-minute trip, but traffic clears and you arrive in 10 minutes. Or, worse, you hit a clog and arrive in 30 minutes.

Sometimes those signboards, called dynamic message signs, are way off, Portland State University researcher Kristin Tufte found. But sometimes that doesn’t matter.

Tufte examined the signboards, called dynamic message signs, along Portland-area freeways in an OTREC project. Drivers typically reach their destinations earlier or later than the signs told them to expect when a so-called “shock wave” forms or dissipates; that is, when traffic suddenly bunches or clears up.

Currently, only three of the 30 or so message signs in the Portland metro area display travel times. Detectors at freeway onramps feed those signs. As a result, large swaths of freeway without onramps also have no data. To be most useful, new message signs would require more detectors in certain areas.

Take the busy Marquam Bridge in Portland, where busy freeways merge and there is no signboard. “There’s no detection for the whole length of the bridge,” Tufte said. “If you really want to have accurate travel times, you have to have detection there.”

As expected, Tufte found that traffic bunching or clearing in blind zones can throw off the accuracy of travel times displayed. Surprisingly, that inaccurate information is...

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Even residents of a gingerbread candyland can't get around with holiday magic alone. After all, Santa's elves still need a reliable way to get from their cozy homes to the workshop.

Sadly, transportation planners have turned a frosty shoulder to sugar-based transit systems. Until now.

On Dec. 3, Portland State University's Students in Transportation Engineering and Planning held the first gingerbread transit station competition. Four teams of students pulled their attention away from human transit to focus on the needs of gingerbread people and misfit toys.

Dealing with building materials of unknown structural properties, students field engineered solutions. Licorice sticks stood in for steel rails, candy canes for bicycle racks. For a binding agent, students mixed cream of tartar and egg whites instead of portland cement.

The resulting transit system has already resulted in fewer traffic gum-ups and a drastic reduction in ultrafine powdered-sugar emissions. Sleigh-travel-time reliability has also improved.

Researchers are now assessing the durability of corn-syrup-reinforced composites in candy bridges, the potential for alkali-silica reaction in gingerbread pavement and the possibility that someone hungry will stumble in and eat the infrastructure.

The winning design team was Transit Wonderland, composed of Jesse Boudart, Sara Morrissey, Mark Haines and Meeyonwoo Lim.

Good transportation decisions rely on good models. Yet, despite advances in transportation modeling, there had been no dedicated training ground for the next generation of modelers. That all changed with the launch of the Oregon Modeling Collaborative Nov. 12. The collaborative will serve as a living laboratory to put the research from some of America’s top modelers into practice across Oregon.

On Nov. 12, we welcomed Peter Appel, administrator of the federal Research and Innovative Technology Administration, to Portland to kick off the collaborative with researchers, practitioners and policymakers from across the Northwest. Appel, confirmed by the U.S. Senate as administrator in 2009, has worked on U.S. Department of Transportation initiatives aimed at getting researchers and professionals to address safety, efficiency and environmental sustainability across all forms of transportation.

Groundbreaking research at the Oregon Transportation Research and Education Consortium has already produced models to account for bicycle trips and greenhouse gas emissions and to predict earthquake risk to highway bridges. However, models don’t do any good if agencies can’t afford the staff time and resources to use them. The Oregon Modeling Collaborative helps fill this gap by educating the next...

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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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Understanding Transportation in Urban China - Local Residents vs Migrant Workers

With rapid urbanization in China and other developing economies around the world, it has become imperative to understand household transportation behavior and expenditures in these urban areas. The objective of this study is to examine the differences in the determinants of household transportation expenditures within two very distinct populations...

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It has been nearly 25 years since non-motorized modes and non-motorized-specific built environment measures were first included in the regional travel demand models of metropolitan planning organizations (MPOs). Such modeling practices have evolved considerably as data collection and analysis methods improve, decisions-makers demand more policy-responsive tools, and walking and cycling grow in popularity. Many models now explicitly consider the unique characteristics of walking travel, separate from travel by bicycle. As MPOs look to enhance their models’ representations of pedestrian travel, the need to understand current and emerging practice is great.

This project presents a comprehensive review of the practice of representing walking in MPO travel models. A review of model documentation determined that – as of mid-2012 – 63% (30) of the 48 largest MPOs included non-motorized travel in their regional models, while 47% (14) of those also distinguished between walk and bicycle modes. The modeling frameworks, model structures, and variables used for pedestrian and non-motorized regional modeling are described and discussed. A survey of MPO staff members revealed barriers to modeling non-motorized travel, including insufficient travel survey records, but also innovations being implemented, including smaller zones and non-motorized network assignment. Finally, best practices in...

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Kristie Gladhill, Transportation Modeler, on Modeling Safety and Urban Form.

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Pricing and Reliability Enhancements in the San Diego Activity-Based Travel Model

The estimation of demand for priced highway lanes is becoming increasingly important to agencies seeking to improve mobility and find alternative revenue sources for the provision of transportation infrastructure.

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