Event Date:
Dec 01, 2017
Content Type: Professional Development Event
LOCATION: PSU, Urban Center Building, Room 204 (Distance Learning Center Wing)
LIVESTREAM ONLINE: Click here on the day of the seminar to stream it live

Emerging probe data sources from smartphones on on-board devices are able to measure behavior of cyclists with very high resolution. From this, for the first time, we are able to measure relatively precise behavior that allows new insights into exposure, route choice, safety behavior, or technology choice. Probe data, merged with other data sources, can begin to develop a more complete picture of cyclists on-road behavior.

This presentation will offer examples of analyses done to investigate cyclists behavior using app-based and on-board GPS data in the context of individual cyclists behavior (i.e., app users) and behavior of bikeshare users (i.e., on-board GPS fleet tracking devices). The applications will cover route choice, travel patterns, surrogate safety behaviors like wrong-way riding, and will investigate differences between conventional- and electric-bike users.

SPEAKER
Chris Cherry of the University of Tennessee

Dr. Chris Cherry is an Associate...

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Event Date:
Content Type: News Item

The Federal Highway Administration issued an interim approval for bike signals, based on the NITC project "Operational Guidance for Bicycle-Specific Traffic Signals." This video provides a look at what that means for jurisdictions in the U.S.

Event Date:
Apr 01, 2016
Content Type: Professional Development Event

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For a number of reasons—congestion, public health, greenhouse gas emissions, energy use, demographic shifts, and community livability to name a few—the importance of walking and bicycling as transportation options will only continue to increase. Currently, policy interest and infrastructure funding for nonmotorized modes far outstrip our ability to successfully model bike and walk travel. ​​In the past five years, we have learned a lot about ​where people prefer to bike and walk, but what can that tell us about whether people will bike or walk in the first place? ​Th​e research presented here is designed to start bridging the gap between choice of route and choice of travel mode (walk, bike, transit, drive, etc.).

A mode choice framework is presented that acknowledges the importance of attributes along specific walk and bike routes that travelers are likely to consider​ for a given trip. Adding route quality as a factor in mode choice decisions is new, and shows promise for: (1) improving prediction of pedestrian and cycling trips, (2)...

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