In many American cities today, we talk about encouraging bicycling and making it safer while at the same time we continue to construct unprotected bicycle facilities where the typical user does not feel encouraged to ride and most bicyclists do not feel safe or comfortable riding in. Constructing unprotected bicycling facilities falls short of helping agencies achieve many of their goals including to reduce GHG, improve public health, increase alternative mode shares, and enhance bicycle safety. Often, unprotected bicycle facilities are selected during an alternatives analysis due to their significantly lower cost compared to protected facilities and the lack of comparable differences between the two types of facilities. This presentation’s approach to addressing this issue focuses on identifying the potential differences in bicycle ridership on a facility-specific and network-wide basis between protected and unprotected facility types. First, presenters will show how they analyze the difference in potential ridership impacts between protected and unprotected bicycle facilities based on roadway characteristics and area demographics using a predictive statistical model. Second, applying a grid-theory based analysis, presenters will show how they analyze the network wide impact of creating new connections within the overall network. This type of analysis leverages data from around the country to give decision makers, the public, and engineers & planners an easily replicable way to quantify the potential ridership and GHG benefits of protected facilities.

Resource Type

Video

Audience Type

Member

Categories

Active,Transportation

Proficiency Level

Applied

Program Types

PWX

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