Bicycle Safety Analysis: Crowdsourcing Bicycle Travel Data to Estimate Risk Exposure and Create Safety Performance Functions

Wang, Haizhong; Chen, Chen; Wang, Yinhai; Pu, Ziyuan; Lowry, Michael B.; University of Idaho. Dept. of Civil Engineering; University of Washington. Dept. of Civil and Environmental Engineering; Oregon State University. School of Civil and Construction Engineering

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Bicycle Safety Analysis: Crowdsourcing Bicycle Travel Data to Estimate Risk Exposure and Create Safety Performance Functions

2016-01-01
By Wang, Haizhong ; Chen, Chen ; Wang, Yinhai ; ...

[PDF-2.79 MB]

English

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Details:

Creators:

Wang, Haizhong ; Chen, Chen ; Wang, Yinhai ; Pu, Ziyuan ; Lowry, Michael B.

Wang, Haizhong ; Chen, Chen ; Wang, Yinhai ; Pu, Ziyuan ; Lowry, Michael B. Less -
Corporate Creators:

University of Idaho. Dept. of Civil Engineering ; University of Washington. Dept. of Civil and Environmental Engineering ; Oregon State University. School of Civil and Construction Engineering

University of Idaho. Dept. of Civil Engineering ; University of Washington. Dept. of Civil and Environmental Engineering ; Oregon State University. School of Civil and Construction Engineering Less -
Corporate Contributors:

Pacific Northwest Transportation Consortium ; United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology

Pacific Northwest Transportation Consortium ; United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Bicycle Safety Crowdsourcing Data Geographic Information Systems GIS Safety Programs SPFs STRAVA Traffic Counting Traffic Counts
Resource Type:

Tech Report
Geographical Coverage:

Portland (Oregon) ; Seattle (Washington) ; USA use- United States

Portland (Oregon) ; Seattle (Washington) ; USA use- United States Less -
TRIS Online Accession Number:

01675311
Corporate Publisher:

Pacific Northwest Transportation Consortium
NTL Classification:

NTL-PEDESTRIAN AND BICYCLES-Bicycles
Abstract:

Around 700 bicycle fatalities happen every year, and the number has steadily increased since 2009. At the same time Seattle, Wash., and Portland, Ore., are promoting cycling as a healthy transportation mode, so bicycle safety has become a more urgent concern for the Pacific Northwest area. The Highway Safety Manual provides an evidence-based approach – safety performance function (SPFs) to evaluate safety for common traffic, but not, however, for bicycles. Therefore, a data-driven and evidence-based bicycle safety evaluation method is needed specifically for the Pacific Northwest region. Based on the first bicycle SPFs created by Krista Nordback in 2013, we used STRAVA bicycle count data (a type of crowdsourced bicycle travel data), other traffic count data, and bicycle crash data to establish Pacific Northwest SPFs in terms of bike count and crash frequency for road intersections. The SPFs demonstrated the relationship between crash frequency and traffic and bike volumes. The intersections with higher traffic volumes had higher bicycle crash frequencies. In addition, this project improved the usability of a GIS tool that had been created during a previous PacTrans project to estimate bicycle exposure. States DOTs and other agencies can use the SPFs to screen and identify previous bicycle black spots in the Pacific Northwest region in order to optimize safety investments.
Format:

PDF
Funding:

DTRT-13-G-UTC40
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:310017ca8b2beac1a033e6433e67707c48a668a33ef88bc337f95e9d828ade47
Download URL:

https://rosap.ntl.bts.gov/view/dot/36741/dot_36741_DS1.pdf
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Bicycle Safety Analysis: Crowdsourcing Bicycle Travel Data to Estimate Risk Exposure and Create Safety Performance Functions

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