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The development
of effective countermeasures to help prevent pedestrian crashes is hindered
by insufficient detail on computerized state crash files. Analysis of these
data can provide information on where pedestrian crashes occur (city, street,
intersection, two-lane road, etc.), when they occur (time of day, day of
week, etc.), and characteristics of the victims involved (age, gender, injury
severity, etc.). These data cannot provide a sufficient level of detail
regarding the sequence of events leading to the crash.
In the 1970's, a methodology for typing pedestrian crashes was developed
by the National Highway Traffic Safety Administration to better define the
sequence of events and precipitating actions leading to pedestrian-motor
vehicle crashes. (1) In the early 1990's, this method was refined and used
to determine the crash types for more than 5,000 pedestrian crashes in the
States of California, Florida, Maryland, Minnesota, North Carolina, and
Utah. (2)
A brief summary of the results showed the following:
Nearly
one-third (32.2 percent) of all crashes occurred in or near (within
50 ft) of an intersection. Of these, 30 percent involved a turning
vehicle. Another 22 percent involved a pedestrian either running
across the intersection or darting out in front of a vehicle whose
view was blocked just prior to the impact. And finally, 16 percent
of these intersection-related crashes occurred because of a driver
violation (e.g., failure to yield right-of-way).
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Midblock events was the second major grouping of crash types and accounted
for 26.5 percent of all crashes. The crash type most commonly found
among this group was the midblock dash in which the pedestrian ran
into the street and the motorist's view was not obstructed; this type
accounted for one-third of all midblock events. Another 17 percent
of these crashes were dart-outs, i.e., the pedestrian ran or walked
into the street, but the motorist view was obstructed until just before
the impact. |
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Just over 7 percent of the crashes involved a pedestrian walking along
the roadway and not on a sidewalk (e.g., on a paved or unpaved shoulder).
Of these events, 72 percent involved a pedestrian walking with traffic
and being struck from behind.
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In 1999, the crash typing methodology was incorporated into a software
product known as the Pedestrian and Bicycle Crash
Analysis Tool (PBCAT) and is intended to assist state and local bicycle
coordinators, planners, and engineers with enhancing pedestrian safety.
PBCAT accomplishes this goal through the development
and analysis of a data base containing details associated with crashes
between motor vehicles and pedestrians or bicyclists, including the crash
type that describes the pre-crash actions of the parties involved. With
the data base developed, the software can then be used to produce reports
and select countermeasures to address the problems identified.
References
1. Pedestrian Safety: The Identification of Precipitating Factors and
Possible Countermeasures, Publication No. FH-11-7312, M.B. Snyder
and R.L. Knoblauch, National Highway Traffic Safety Administration, Washington,
DC, 1971.
2. Pedestrian and Bicycle Crash Types of the Early 1990's, Publication
No. FHWA-RD-95-163, W.H. Hunter, J.C. Stutts, W.E. Pein, and C.L. Cox,
Federal Highway Administration, Washington, DC, June, 1996.
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