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Summary: The most recent edition of the Highway Capacity Manual (HCM) contains analysis procedures for measuring the level-of-service (LOS), also referred to as quality of service, provided by an urban roadway to bicyclists. The method uses different design and operating features of the roadway segment (e.g. width, motor vehicle volumes and speeds) to assess an LOS grade of A (best) to F (worst). These procedures are used by planners and engineers to recommend how existing streets could be retrofitted or new streets designed to better serve people on bicycles (and other modes). However, the current HCM does not include methods that address protected bike lanes (aka “cycle tracks” or “separated bike lanes”), only conventional striped bike lanes, shoulders, and shared streets. There are other methods for predicting comfort from a bicyclist’s perspective that do consider protected bike lanes, but they are either based only on expert opinion or on surveys in Denmark.

This presentation will describe how to evaluate the level-of-service of a protected bike lane using results from surveys conducted in the United States. The model developed by this project could be used to supplement the current HCM to objectively consider a wider...

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The video begins at 1:32.

Topic: Four Types of Cyclists: What do we know and how can it help?

Labeling or categorizing cyclists has been occurring for over a century for a variety of purposes. Dr. Dill's research aimed to examine a typology developed by the City of Portland that includes four categories: Strong and the Fearless, Enthused and Confident, Interested but Concerned, and No Way No How. Unlike several other typologies, this widely referenced typology is intended to apply to all adults, regardless of their current cycling behavior. This seminar will present her findings, focusing on differences between the four types and a better understanding the market for increasing cycling for transportation.

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Abstract: Existing regional travel forecasting systems are not typically set up to forecast usage of bicycle infrastructure and are insensitive to bicyclists' route preferences in general. We collected revealed preference, GPS data on 162 bicyclists over the course of several days and coded the resulting trips to a highly detailed bicycle network model. We then use these data to estimate bicyclist route choice models. As part of this research, we developed a sophisticated choice set generation algorithm based on multiple permutations of labeled path attributes, which seems to out-perform comparable implementations of other route choice set generation algorithms. The model was formulated as a Path-Size Logit model to account for overlapping route alternatives. The estimation results show compelling intuitive elasticities for route choice attributes, including the effects of distance and delay; avoiding high-volumes of vehicular traffic, stops and turns, and elevation gain; and preferences for certain bike infrastructure types, particularly at bridge crossings and off-street paths. Estimation results also support segmentation by commute versus non-commute trip types, but are less clear when it comes to gender. The final model will be implemented as part of the regional travel forecasting system for Portland, Oregon, U.S.A.

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ORcycle is a new smartphone application (for both Android and iOS) developed by Transportation, Technology, and People (TTP) lab researchers at Portland State University as part of an Oregon Department of Transportation (ODOT) research project. ORcycle collects user, route, infrastructure, crash, and safety data. ORcycle was successfully launched in early November 2014 and presents many improvements over existing or similar apps. Initial data findings and insights will be presented. Lessons learned as well as opportunities and challenges associated with smartphone data collection methods will be discussed. More information about the app can be found here: http://www.pdx.edu/transportation-lab/orcycle

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