Portland State University

Friday Transportation Seminars at Portland State University have been a tradition since 2000. We've opened up PSU Transportation Seminars to other days of the week, but the format is the same: Feel free to bring your lunch! If you can't join us in person, you can always watch online via Zoom.

THE TOPIC 

For concrete bridges without existing plans, simplified and highly conservative load rating (structural evaluation) methods may be used, which can lead to unnecessary load restrictions, unjustifiable strengthening, or in the worst case, preventable replacements. Avoiding these outcomes not only saves money but it prevents carbon emissions from longer travel and construction activities and resources associated with replacement.

This presentation discusses a case study of a prestressed concrete bridge that required a load rating, and for which no plans existed. Imaging and image fusion using radar and ultrasonic measurements taken from the top and bottom of the slab were performed to produce a digital cross-section of the bridge. Using this image, the location of the reinforcing steel, as well as the location, size, and content of internal air voids could be determined. After extracting these variables and using them in an improved load rating, load restrictions were found to not be necessary...

Friday Transportation Seminars at Portland State University have been a tradition since 2000. We've opened up PSU Transportation Seminars to other days of the week, but the format is the same: Feel free to bring your lunch! If you can't join us in person, you can always watch online via Zoom.

THE TOPIC 

Planners and decision-makers have increasingly voiced a need for network-wide estimates of bicycling and walking. Such volume estimates have for decades informed motorized planning and analysis but have only recently become feasible for non-motorized travel modes. Recently, new sources of activity data have emerged derived primarily from GPS-based smartphone location data, both app-based and passively collected. The project team has led several research projects aimed at evaluating and integrating the emerging sources with conventional demand data, including observed bicycle and pedestrian counts, to assess the value added of various emerging sources and the potential for estimating network-wide volumes. This presentation will summarize lessons learned and propose next steps for agencies and researchers who want to incorporate big data into active transportation volume / exposure estimates.

KEY LEARNING OUTCOMES

• The contributions and cautions of using emerging big data sources...