The video begins at 2:08.
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.
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
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.
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