Safety in Numbers : Pedestrian and Bicyclist Activity and Safety in Minneapolis

Carlson, Kristin; Murphy, Brendan; Ermagun, Alireza; Levinson, David; Owen, Andrew; University of Minnesota. Dept. of Civil, Environmental, and Geo-Engineering

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Safety in Numbers : Pedestrian and Bicyclist Activity and Safety in Minneapolis

2018-03-01
By Carlson, Kristin ; Murphy, Brendan ; Ermagun, Alireza ; ...

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English

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Creators:

Carlson, Kristin ; Murphy, Brendan ; Ermagun, Alireza ; Levinson, David ; Owen, Andrew

Carlson, Kristin ; Murphy, Brendan ; Ermagun, Alireza ; Levinson, David ; Owen, Andrew Less -
Corporate Creators:

University of Minnesota. Dept. of Civil, Environmental, and Geo-Engineering
Corporate Contributors:

Roadway Safety Institute ; University of Minnesota. Center for Transportation Studies

Roadway Safety Institute ; University of Minnesota. Center for Transportation Studies Less -
Subject/TRT Terms:

[+]

Accessibility Bicycling Cyclists Nonmotorized Transportation Pedestrians Pedestrian Safety Safety Traffic Counts Traffic Safety Walking
Publication/ Report Number:

CTS 18-05
Resource Type:

Tech Report
Geographical Coverage:

Minnesota ; Minneapolis (Minnesota)

Minnesota ; Minneapolis (Minnesota) Less -
Corporate Publisher:

University of Minnesota. Center for Transportation Studies ; Roadway Safety Institute

University of Minnesota. Center for Transportation Studies ; Roadway Safety Institute Less -
Abstract:

This investigation aims to evaluate whether the Safety in Numbers phenomenon is observable in the midwestern U.S. city of Minneapolis, Minnesota. Safety in Numbers (SIN) refers to the phenomenon that pedestrian safety is positively correlated with increased pedestrian traffic in a given area. Walking and bicycling are increasingly becoming important transportation modes in modern cities. Proper placement of non-motorized facilities and improvements has implications for safety, accessibility, and mode choice, but proper information regarding estimated non-motorized traffic levels is needed to locate areas where investments can have the greatest impact. Assessment of collision risk between automobiles and non-motorized travelers offers a tool that can help inform investments to improve non-motorized traveler safety. Models of non-motorized crash risk typically require detailed historical multimodal crash and traffic volume data, but many cities do not have dense datasets of non-motorized transport flow levels. Methods of estimating pedestrian and bicycle behavior that do not rely heavily on high-resolution count data are applied in this study. Pedestrian and cyclist traffic counts, average automobile traffic, and crash data from the city of Minneapolis are used to build models of crash frequencies at the intersection level as a function of modal traffic inputs. These models determine whether the SIN effect is observable within the available datasets for pedestrians, cyclists, and cars, as well as determine specific locations within Minneapolis where non-motorized travelers experience elevated levels of risk of crashes with automobiles.
Format:

PDF
Alternate URL:

http://www.cts.umn.edu/Publications/ResearchReports/reportdetail.html?id=2656
Funding:

DTRT13-G-UTC35
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:6694ad08bd4019afcc5c0c7cccbdd42b4fdf2ea71b4cc024cb463dc1983cf800
Download URL:

https://rosap.ntl.bts.gov/view/dot/37252/dot_37252_DS1.pdf
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Safety in Numbers : Pedestrian and Bicyclist Activity and Safety in Minneapolis

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