Event Date:
May 30, 2008
Content Type: Professional Development Event

Steve Szigethy and Jamison Kelleher, a team of graduate students in PSU's Master of Urban and Regional Planning program, will present their Planning Workshop project entitled "Imagine 82nd." The project engaged residents, businesses, property owners and students along NE 82nd Avenue in Portland to develop a comprehensive vision for the future of the corridor. Imagine 82nd deals with the portion of 82nd Avenue between the Banfield Expressway and NE Sandy Boulevard, 1.3 miles in length. This particular stretch is home to many retail and service businesses that typify the rest of 82nd Avenue, but it also includes Madison High School, a major corporate headquarters, and a 20-acre vacant brownfield site. At this seminar, Steve Szigethy and Jamison Kelleher will present the vision concepts they developed with the community, with particular emphasis on transportation and land use components.

The video begins at 5:54.

Event Date:
Jan 23, 2009
Content Type: Professional Development Event

The proliferation of information technology in the transportation field has opened up opportunities for communication and analysis of the performance of transportation facilities. The Highway Capacity Manual relies on rules of thumb and small data samples to generate levels of service to assess performance, but modern detection technology gives us the opportunity to better capture the dynamism of these systems and examine their performance from many perspectives. Travelers, operations staff, and researchers can benefit from measurements that provide information such as travel time, effectiveness of signal coordination, and traffic density. In particular, inductive loop detectors show promise as a tool to collect the data necessary to generate such information. But while their use for this purpose on restricted‐access facilities is well understood, a great many challenges remain in using loop detectors to measure the performance of surface streets.

This thesis proposes 6 methods for estimating arterial travel time. Estimates are compared to simulated data visually, with input/output diagrams; and statistically, with travel times. Methods for estimating travel time are applied to aggregated data and to varying detector densities and evaluated as above. Conclusions are drawn about which method provides the best estimates, what levels of data aggregation can still provide useful information, and what the effects of detector density are on the quality of estimates....

Read more
Event Date:
Dec 04, 2009
Content Type: Professional Development Event

View slides

The video begins at 3:10.

Event Date:
Jan 15, 2010
Content Type: Professional Development Event

View slides

The video begins at 5:38.

Event Date:
Feb 25, 2011
Content Type: Professional Development Event

The video begins at 2:04.

Abstract: Findings will be presented on an evaluation of two innovative bicycle facilities installed in late summer and early fall 2009 in downtown Portland aimed at providing a more separated and comfortable experience for cyclists. The SW Broadway cycle track (near PSU) and the couplet of buffered bike lanes on SW Stark and SW Oak were evaluated to understand how they are functioning on multiple levels. Each facility involved removing a motor vehicle lane by restriping to provide additional roadway space to bicyclists. The facilities were evaluated after they had been in place for approximately one year. Data collected to support this evaluation consisted of surveys of multiple user groups for each facility type, and video data collected by the City of Portland Bureau of Transportation at intersections along each of the routes to understand the facilities' impact on traffic flow, operations and user interactions.

Event Date:
Jan 13, 2012
Content Type: Professional Development Event

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...

Read more
Event Date:
Jan 20, 2012
Content Type: Professional Development Event

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...

Read more
Event Date:
Content Type: News Item

Three students at NITC member universities have been awarded scholarships from the Portland, Oregon chapter of WTS.

Miranda Barrus, a civil engineering student at the Oregon Institute of Technology, is the 2014 recipient of the Sharon D. Banks Undergraduate Scholarship. The scholarship honors Sharon D. Banks, chief executive officer of AC Transit in Alameda-Contra Costa County, California, who led the agency in a pioneering effort to introduce cultural and organizational changes aimed at motivating the public transit work force.

Barrus serves as vice president of Oregon Tech’s student chapter of ITE, the Institute of Transportation Engineers. She also won a scholarship for the 2014-2015 school year from the Structural Engineers Association of Oregon Scholarship Foundation. She was selected for her leadership, participation in activities, and outstanding performance in engineering.

...

Read more
Event Date:
Jan 11, 2013
Content Type: Professional Development Event

The video begins at 3:22.

Steve Gehrke (CEE PhD) - Application of Geographic Perturbation Methods to Residential Locations in the Oregon Household Activity Survey: Proof of Concept

Travel demand models have advanced from zone-based methods to favor activity-based approaches that require more disaggregate data sources. Household travel surveys gather disaggregate data that may be utilized to better inform advanced travel demand models and also improve the understanding of how nonmotorized travel is influenced by a household’s surrounding built environment. However, the release of these disaggregate data is often limited by a confidentiality pledge between the household participant and survey administrator. Concerns regarding the disclosure risk of survey respondents to household travel surveys must be addressed before these household-level data may be released at their disaggregate geography. In an effort to honor this confidentiality pledge and facilitate the dissemination of valuable travel survey data, this research: (i) reviews geographical perturbation methods that seek to protect respondent confidentiality; (ii) outlines a procedure for implementing one promising practice, referred to as the donut masking technique; and (iii) demonstrates a proof of concept for this technique on ten respondents to a household activity travel survey in the Portland metropolitan region. To examine the balance...

Read more
Event Date:
Jan 18, 2013
Content Type: Professional Development Event

The video begins at 1:44.

Oliver Smith (USP PhD) - Peak of the day or the daily grind? Commuting and subjective well-being

To understand the impact of daily travel on personal and societal well-being, measurement techniques that go beyond satisfaction-based measures of travel are used. Such metrics are increasingly important for evaluating transportation and land-use policies. This study examines commute well-being, a multi-item measure of how one feels about the commute to work, and its influences using data from a web-based survey that was distributed to Portland, Oregon, U.S.A. workers. Valid surveys (n=828) were compiled from three roughly equally sized groups based on mode: bike, transit and car users. Average distances between work and home varied significantly among the three groups. Descriptive results show that commute well-being varies widely across the sample. Those who bike to work have significantly higher commute well-being than transit and car commuters. A multiple linear regression model shows that along with travel mode, traffic congestion, travel time, income, health, job satisfaction and residential satisfaction also play important individual roles in shaping commute well-being. While more analysis is needed, these results support findings in previous research that commuting by bike enhances well-being while congestion detracts from well-being. Implications for future research and...

Read more

Pages