With various governments encouraging people to drive less, economists have wondered if such goals can have the side effect of harming the economy. In most cases, the answer is no, OTREC researcher B. Starr McMullen concluded in a research report.

  • Click here to read more about the research and to download the report.

It’s more than an academic question: driving and the economy do tend to rise and fall together. McMullen, a transportation economics professor at Oregon State University, examined the relationship between the two by looking at which happens first—a change in driving or a change in economic activity.

In general, economic growth leads to more driving, not the other way around, McMullen said. That’s particularly true for metropolitan areas, the very places most likely to pursue policies that reduce driving.

“The more economic activity you have, the more VMT [vehicle miles traveled] you’re going to have,” McMullen said.

On the other hand, if there are policies to reduce VMT and driving decreases, “you’re not going to have the economy fall apart," as some have suggested.

If a state sets a goal to reduce VMT or transportation...

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Students and faculty researchers from OTREC universities will present 45 papers at the Transportation Research Board’s annual meeting Jan. 22 to 26 in Washington, D.C.

The papers, to be presented at 37 separate sessions and poster sessions, stem from transportation research at Portland State University, the University of Oregon and Oregon State University. The three universities will send 43 students to the conference.

Alex Bigazzi, a PSU engineering doctoral student, will present his work on topics including congestion and emissions at the conference. Some of that work stems from his master’s thesis, “Roadway Congestion Impacts on Emissions, Air Quality, and Exposure,” with adviser Miguel Figliozzi at PSU. The thesis won this year’s Milton Pikarsky Memorial Award, which will be presented Jan. 21 at the Council of University Transportation Centers awards banquet.

Bigazzi will present another paper, which he wrote with PSU’s Kelly Clifton and Brian Gregor of the Oregon Department of Transportation, that looks at fuel economy for alternative-fuel vehicles in congestion. Titled “Advanced Vehicle Fuel-Speed Curves for Regional Greenhouse Gas Scenario Analysis,” the paper helps Oregon DOT incorporate hybrid, electric and fuel-cell vehicles into its emissions planning model.

While traditional vehicles lose fuel efficiency during congested driving, advanced vehicles don’t suffer from the same effects, according to the paper.  Some even do better in...

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Fleet managers can benefit from buying electric vehicles under certain conditions, according to a research paper by Portland State University associate professor Miguel Figliozzi. The paper marks OTREC’s first electric vehicle-related research accepted for publication in a peer-reviewed journal.

In the paper, set for publication in the Transportation Research Record, Figliozzi presents a vehicle replacement model that compares the benefits of conventional and electric vehicles under various scenarios. Incorporating electric vehicles makes the most sense for heavily used fleets when gasoline prices are high, assuming electric vehicle tax credits continue.

Until their purchase price drops, electric vehicles won’t make financial sense for fleet managers without some incentives. “Tax credits are important, especially at the beginning, given the higher price of EVs,” Figliozzi said. “The federal tax credit is roughly 20 percent of the (Nissan) Leaf’s list price and it makes a difference.”

The model presented in the paper shows that fleets will start to include a few electric vehicles with gas at $4.10 per gallon, assuming the existing tax...

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Miguel Figliozzi, OTREC researcher, has been selected to chair a study group that will assist DEQ in developing a report, including recommendations for legislation regarding truck efficiency, reduced idling, and emissions. This report will be submitted to interim environment and natural resource committees of the Oregon Legislature by October 2010 for their consideration and any possible action during the 2011 legislative session. The 2009 Oregon Legislature adopted House Bill 2186, which directed DEQ to study potential requirements regarding the maintenance or retrofitting of medium- and heavy-duty trucks in order to reduce aerodynamic drag and otherwise reduce greenhouse gas emissions. DEQ also plans to study potential restrictions on engine use by parked commercial vehicles, including but not limited to medium- and heavy-duty trucks. Study group members will work with DEQ staff to report findings and recommendations for legislation to the interim legislative committees on environment and natural resources by October 1, 2010.

The video begins at 0:51.

Alex Bigazzi, Miguel Figliozzi, Portland State University

The video begins at 2:51.

Adam Moore: Bus Stop Air Quality: An Empirical Analysis of Exposure to Particulate Matter at Bus Stop Shelters

Congested traffic corridors in dense urban areas are key contributors to the degradation of urban air quality. While waiting at bus stops, transit patrons may be exposed to greater amounts of vehicle-based pollution, including particulate matter, due to their proximity to the roadway. Current guidelines for the location and design of bus stops do not take into account air quality or exposure considerations. This study compares the exposure of transit riders waiting at three-sided bus stop shelters that either: 1) face the roadway traffic or 2) face away from the roadway traffic. Shelters were instrumented with air quality monitoring equipment, sonic anemometers, and vehicle counters. Data were collected for two days at three shelters during both the morning and afternoon peak periods. Bus shelter orientation is found to significantly affect concentration of four sizes of particulate matter: ultrafine particles, PM1, PM2.5, and PM10. Shelters with an opening oriented towards the roadway were consistently observed to have higher concentrations inside the shelter than outside the shelter. In contrast, shelters oriented away from the roadway were observed to have lower concentrations inside the shelter than outside the shelter. The differences in particulate matter...

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The video begins at 4:13.

Wei Feng: Impacts of Economic, Technological and Operational Factors on the Economic Competitiveness of Electric Commercial Vehicles in Fleet Replacement Decisions

Electric commercial vehicles (ECV) have the potential to substantially reduce greenhouse gas emissions, noise, and pollution in urban areas. In addition, ECVs have lower per-mile operating costs and potentially lower maintenance costs. However, the initial purchase cost of ECVs is significantly higher than the purchase cost of a conventional diesel vehicle. From a purely economic perspective, there is a cost tradeoff between the low operating and maintenance costs of ECVs and their high initial capital costs.  In this paper, a fleet replacement optimization framework is employed to analyze the competitiveness of ECVs. Scenarios with different fleet utilization, fuel efficiency and sensitivity analysis of ten additional factors indicate that ECVs are more cost effective when conventional diesel vehicles’ fuel efficiency is low (8.2 miles/gallon) and daily utilization is more than 54 miles. Breakeven values of some key economic and technological factors that separate the competitiveness between ECVs and conventional diesel vehicles are calculated in all scenarios. For example, in low conventional diesel vehicle fuel efficiency and low daily utilization scenario, ECVs are more competitive when their purchase prices...

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The video begins at 2:51.

Abstract: Coal-fired electricity plants account for over 50 percent of the nation’s electricity. These plants can purchase coal from a large number of different locations and, often, can have a number of different transportation options. Normally, however, from the array of different options, they use only a handful.  We frame the model as that of a cost-minimization with a large number of input choices, characterized by standard Kuhn-Tucker conditions. Empirically, we estimate a system of input decisions that contain both zero and non-zero levels, using a Multiple Discrete/Continuous Extreme Value model. The payoffs from each choice are a function of costs, coal attributes, and unobserved modal attributes, as well as the increased regulation under the Clean Air Amendment Act of 1990.

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