The video begins at 2:48.

Abstract: Diesel engines are the most efficient combustion engine currently available. Their power, durability and economy make them the engine of choice for a wide variety of applications, most notably in freight movement. Their exhaust, long regarded as a nuisance for the smoke and odor, is increasingly implicated in elevated risk for cardiovascular, neurological and respiratory adverse health impacts, as well as being a notable contributor to other environmental impacts like regional haze and climate change. The state of Oregon, since 2001 has undertaken a voluntary, incentive supported approach to owners and operators of existing diesel engines to reduce emissions using a variety of strategies with mixed results. This discussion will summarize that effort, evaluate the economics of cleaning up diesel engines as a public health strategy and outline the potential for further mitigation.

The video begins at 5:37.

Southern California is working to address challenges involving air quality, mobility, energy, climate and economic recovery.  The South Coast Air Quality Management District —the government agency responsible for attaining healthful air in the greater Los Angeles region—is working with transportation agencies, ports, local and state governments, and private stakeholders to develop air quality solutions.  Transitioning to zero and near zero emission transportation technologies, such as those powered by electricity, is a key strategy with potential to address multiple challenges.  This presentation will provide an overview of the air quality challenges faced by this region, and describe clean energy solutions being developed that have potential co-benefits for energy security, mobility, climate, and economic growth.

PRESENTATION ARCHIVE

Active travel such as walking and bicycling can lead to health benefits through an increase in physical activity. At the same time, more active travelers breath more and so can experience high pollution inhalation rates during travel. This webinar will review the state of knowledge about how roadway and traffic characteristics impact air pollution risks for bicyclists, including the latest PSU research quantifying bicyclists' uptake of traffic-related air pollution using on-road measurements in Portland. The PSU research team including Alex Bigazzi, Jim Pankow, and Miguel Figliozzi quantified bicyclist exposure concentrations on different types of roadways, respiration responses to exertion level, and changes in blood concentrations of pollutants. Implications for planners, engineers, and policy-makers will be discussed, including guidance for more pollution-conscious bicycle network planning and design. Additionally, ways for individual travelers to reduce their air pollution risks will be discussed.

This 60-minute webinar is eligible for one hour of training which equals 1 CM or 1 PDH. NITC applies to the AICP for Certification Maintenance credit for each webinar. We will provide an attendance certificate...

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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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