OTREC turned its education efforts on a decidedly younger crowd March 13: sixth graders. A class from Rochester, N.Y., visited Portland on a trip geared toward improving bicycling in their own community.

The students, from Genesee Community Charter School, visited the OTREC offices to learn about active transportation research methods. They took part in group exercises designed to get them thinking about the planning and engineering challenges of transportation systems set up to serve multiple transportation modes.

The highlight of the day came when the students took to Portland’s streets — OTREC’s living laboratory — to conduct research of their own. Armed with bicycle-counter tubes and infrared detectors, students counted cyclists and pedestrians passing on the Broadway cycle track on Portland State University’s campus.

Other students verified the technology with manual counters.

Students moved on to their next stop on a four-day tour of Portland with a better sense of what kind of data researchers collect and how they can use those data to inform policy. Given their experience — the students already have influenced their city on policy ranging from Erie Canal re-watering to an urban art corridor to skate parks — they stand a good chance of using Portland’s lessons to build a bike-friendly Rochester.

This fall, the Friday transportation seminar series at Portland State University has focused on data collection and how information is used to make transportation investments. The Oct. 26 seminar, with the University of Minnesota’s Greg Lindsey, covered tracking and modeling travel behavior.

Engineers and planners alike have relied on traffic counts for their traffic models, but data behind bike and pedestrian travel has been fuzzy. Now, researchers such as Lindsey are offering new methods for conducting bike and pedestrian counts on trails and multiuse paths.

With little guidance from the Federal Highway Administration, Lindsey said, most of the efforts in creating best practices have bubbled up from communities like the Twin Cities, chosen as Nonmotorized Transportation Pilot Cities. Lindsey and his researchers monitored six trails in Minneapolis, using inductive loops and infrared beams.

To address calibration problems and offer validity to their field numbers, Lindsey also sent students into the field to verify counts. The technology allowed for finer-grained detail, especially over a 24-hour period. OTREC Director Jennifer Dill noted, “Too much in the past we’ve lumped “bike and peds” together and your work and analysis is demonstrating that they truly are different modes, with different behaviors.”

Lindsey stressed the importance of conducting this type of research, and measuring our “bicycle miles traveled” and “pedestrian miles traveled” in...

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If you weren’t one of the 10,000 people who attended the Transportation Research Board’s Annual Meeting in January, there are fifty students and twenty faculty for PSU, UO, OSU and OIT who can tell you what they learned there.  OTREC's bright yellow lanyards made our presence especially visible! PSU student Brian Davis blogged about his experience, OTREC’s Jon Makler was interviewed in a local newspaper, and the Oregon “delegation” at the conference was covered by both local and national blogs. Team OTREC filed some daily debriefs, highlighting presentations on topics such as federal stimulus investments in Los Angeles and Vermont’s efforts to address their transportation workforce crisis with returning military veterans (as well as the...

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Light detection and ranging (LIDAR) technology is reshaping the civil engineering profession and offers many unique advantages. National efforts such as the 3D Elevation Plan (3DEP) are helping increase the availability of LIDAR data. LIDAR is one of the crucial technologies that is transitioning the world of civil and construction engineering from 2D paper-based design to 3D digital design. The high spatial resolution and accuracy capabilities of LIDAR have led to increased efficiencies, improved analyses, and more informed decision making.

A further advantage of this dataset is that multiple people can use the same dataset for a variety of purposes across multiple disciplines. The visual nature of the dataset also is more intuitive than traditional data acquisition and analysis techniques. This presentation will provide a brief background of LIDAR , its capabilities, limitations and platforms, and discuss its current and future role in civil engineering. Examples of a wide range of transportation, geotechnical, coastal, and structural engineering, science, and planning applications will be presented including development of mobile LIDAR guidelines for...

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Topic: Using "big data" for transportation analysis: A case study of the LA Metro Expo Line

Summary: Access to a comprehensive historical archive of real-time, multi-modal multi-agency transportation system data has provided a unique opportunity to demonstrate how “big data” can be used for policy analysis, and to offer new insights for planning scholarship and practice. We illustrate with a case study of a new rail transit line. We use transit, freeway, and arterial data of high spatial and temporal resolution to examine transportation system performance impacts of the Exposition (Expo) light rail line (Phase 1) in Los Angeles. Using a quasi-experimental research design, we explore whether the Expo Line has had a significant impact on transit ridership, freeway traffic, and arterial traffic within the corridor it serves. Our results suggest a net increase in transit ridership, but few effects on traffic system performance. Given the latent travel demand in this heavily congested corridor, results are consistent with expectations. The benefits of rail transit investments are in increasing transit accessibility and person throughput within high-demand corridors; effects on roadway traffic are small and localized. 

Bio: Mohja Rhoads...

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Join us for a three day introductory in-person workshop on R

September 10–12, 9:30am - 4:30pm

Tired of finding errors in your spreadsheets that perpetuate and cascade through your work? Still trying to cram “big” data into tiny worksheets? Wish you had an easier way to easily share data and results with others? Want to better manage and maintain your workflow? Always wanted to learn R and version control but never found the time? If any of your answers are yes, then this course is for you!

After several years of hiatus, we are excited to host an "Intro to R" workshop where we will cover the following:

  • Coding and scripting basics
  • Intro to data wrangling and visualizations
  • Version control & best practices
  • Where to go for help and how to expand your skills

Prerequisites for the Workshop

Basic knowledge and experience working with quantitative data; experience and skills in a different programming language or data processing and statistical software is helpful but not required.

Course Requirements

Please bring your own laptop and have the following software installed prior to the workshop. If you are using a work machine, please make sure you have reached out to your IT department to have these programs installed:

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This paper uses econometric techniques to examine the determinants of vehicle miles traveled (VMT) in a panel study using data from a cross section of 87 U.S. urban areas over the period 1982-2009. We use standard OLS regression as well as two-stage least squares techniques to examine the impact of factors such as population density, lane-miles per capita, per capita income, real fuel cost, transit mileage, and various industry mix variables on VMT. We use a distributed lag model to estimate the long run elasticity of various factors on VMT driven.

Preliminary empirical results show the demand for VMT in urban areas is positively and significantly impacted by lane miles, personal income, and the percent of employment in the construction. Fuel price, transit use and population density are all found to be negatively related to VMT per capita. Consistent with results from earlier studies, we find the long run price elasticity of demand for VMT per capita is approximately five times larger than the short run elasticity.

Holding all factors constant, per capita VMT is found to differ significantly by region with VMT being higher the more western and the larger the population size of an urban area. Finally, we find that the industry mix or the urban area also has a significant impact on driving.

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New FHWA VMT Forecasts and Implications for Local Planning

or

Post-Apocalyptic Zombies Ate Oregon’s Post-Recession, ATR Regression

Where: Room 204 of the Distance Learning Center Wing of the Urban Center at PSU

A summary of FHWA’s new national traffic trends assessment will be presented, including discussion of varied factors influencing forward-thinking forecasts. Examples of Oregon statewide vehicle miles travelled (VMT) and historic traffic trends from ATR stations in the Portland urban region and greater Willamette Valley will be highlighted. VMT, population and income data will be noted with implications on local transportation planning.

Andrew is an associate with David Evans & Associates, Inc., with over 28 years of experience in multimodal transportation planning with emphasis on sustainable community and Complete Street policy and plan development. He focuses on developing multimodal transportation plans with context-sensitive street standards and policies that implement enhanced bicycle and pedestrian use and circulation. His area of expertise includes measured pedestrian-access-to-transit connectivity, the implementation of...

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If you would like to receive continuing education credits such as PDH or CM, please make sure to complete this evaluation form once you've watched the entire video so that we have a record of your attendance.

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