
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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