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Abstract: City of Davis Bicycle and Pedestrian Coordinator Tara Goddard recently visited Sangju, South Korea as part of a "sister city" delegation. Sangju is the "Bike City" of Korea, with a bicycle mode share approximately that of Davis and Portland combined. Tara will share photos and lessons learned from that trip, compare the bicycle facilities of Sangju with that of Davis and Portland, and discuss opportunities for future bicycle research in East Asia.

The video begins at 2:56.

Abstract: Genesis of America's First "Platinum Bike City", Davis CA

Before there was "Portland, Bike City USA" there was "Davis, Bicycle Capital of America."

Davis and Portland are very different places. Portland is big, old, industrial. Davis is small, new, nerdy. Portland has hills and rain. Davis is flat and dry. But they are both places where people bicycle. A lot. Ordinary folks come to these cities and often start riding a bike. Bicycling in Davis began in the 1950s, when it was a tiny city with the UC agricultural campus. As the city grew, citizens demanded bicycle infrastructure. After years of negotiation, city authorities gave in to pressure and instructed their staff to begin providing for bicycles. Everything had to be designed from the ground up. America had very little bike infrastructure, but that didn't stop Davis from trying dozens of different types of lanes, paths, intersection treatments, etc., and devising workable solutions. So workable, in fact, that they became the California standard, and then the American standard. As America was adopting Davis's designs, Davis continued to promote and accomodate bicycling on many levels, and in 1980 28% of the population commuted by bike.

Now, Davis and Portland are both rated "Platinum" cities for bicycling by the League of American Bicyclists. But they're still as different as night and day. Portland...

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PRESENTATION ARCHIVE

OVERVIEW

Intelligent transportation systems (ITS) change our communities by improving the safety and convenience of people’s daily mobility. The system relies on multimodal traffic monitoring, that needs to provide reliable, efficient and detailed traffic information for traffic safety and planning. How to reliably and intelligently monitor intersection traffic with multimodal information is one of the most critical topics in intelligent transportation research.

In multimodal traffic monitoring, we gather traffic statistics for distinct transportation modes, such as pedestrians, cars and bicycles, in order to analyze and improve people’s daily mobility in terms of safety and convenience.

In this study, we use a high-resolution millimeter-wave (mmWave) radar sensor to obtain a relatively richer radar point cloud representation for a traffic monitoring scenario. Based on a new...

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Findings from a Quasi-Experimental Study of Boltage Encouragement Programs

Much of the...

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The video begins at 1:37.

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Summary: Signalized intersections often rely on vehicle detection to determine when to give a green light. The 2009 Manual of Uniform Traffic Control Devices (MUTCD) includes an on-pavement marking and curbside sign that public agencies can use to indicate where cyclists should position themselves while waiting at an intersection. This presentation reviews the effectiveness of current markings, signs, and other methods used to help cyclists properly position themselves over detection.

Stefan Bussey is an undergraduate civil engineering student at Portland State University. He is interested in exploring how road users’ interactions with each other and the built environment affect the efficiency and safety of road networks. He currently works as a civil design intern at Harper Houf Peterson Righellis Inc. 

This seminar will present results from the BikeGPS study that collected data from Portland area bicyclists using GPS technology. The study collected data from over 150 cyclists for seven days each during 2007, resulting in detailed information for over 1,500 bicycle trips throughout the urban area. The GPS data provides detailed information on the amount, location, and speed of bicycle travel and allows us to answer questions about route choice. For example, how much to people ride on roads with bike lanes, on bike boulevards, or paths? Do these patterns vary by gender, age, or other factors?

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The video begins at 7:24.

PRESENTATION ARCHIVE

OVERVIEW

Planners and decision makers have increasingly voiced a need for network-wide estimates of bicycling activity. 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 bicycling activity data have emerged such as Strava, Streetlight, and GPS-enabled bike share systems. These emerging data sources have potential advantages as a complement to traditional count data, and have even been proposed as replacements for such data, since they are collected continuously and for larger portions of local bicycle networks. However, the representativeness of these new data sources has been questioned, and their suitability for producing bicycle volume estimates has yet to...

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