Agency Information Collection Activities: Request for Comments for New Information Collection, 67952-67955 [E6-19831]
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67952
Federal Register / Vol. 71, No. 226 / Friday, November 24, 2006 / Notices
that it is seeking to identify qualified
industry consultants to assist 14 Code of
Federal Regulations (CFR) Part 91, 121,
125, 129, 135 applicants as they pursue
approval to conduct ‘‘Required
Navigation Performance Special Aircraft
and Aircrew Authorization Required’’
(RNP SAAAR) approaches. Provisions
for gaining those approvals are
contained within FAA Advisory
Circular 90–101, ‘‘Approval Guidance
for RNP Procedures with SAAAR.’’
Applicants who meet certain
qualifications will be permitted to enter
into an agreement with the FAA to be
listed as RNP SAAAR Approval
Consultants.
Formal letter of application must
be received on or before December 31,
2006.
FOR FURTHER INFORMATION CONTACT: Mr.
Vincent Chirasello, Federal Aviation
Administration, AFS–400 Flight
Technologies and Procedures Division,
470 L’Enfant Plaza, Suite 4102,
Washington, DC 20024, (202) 385–4586.
SUPPLEMENTARY INFORMATION: RNP
SAAAR procedures provide an
opportunity to improve safety,
efficiency and capacity. Safety is
improved when RNP approaches
replace visual or non-precision
approaches, and efficiency is improved
through more repeatable and optimum
flight paths. Capacity can be improved
by de-conflicting traffic during
instrument conditions. RNP SAAAR
procedures provide an unprecedented
flexibility in construction of approach
procedures. RNP SAAAR procedures
build upon the performance based
National Airspace System (NAS)
concept. The performance requirements
to conduct an approach are defined, and
aircraft are qualified against these
performance requirements. RNP
approaches include unique
characteristics that require special
aircraft and aircrew capabilities and
authorization similar to Category (CAT)
II/III ILS operations.
The AC 90–101 RNP SAAAR approval
process is complex and the success of
the process depends on the quality of
the application. Although the FAA is
committed to providing approval
services, a reduced budget and increase
in attrition leaves fewer resources
available to assist new entrants in the
approval process. In an effort to address
this new RNP SAAAR entrant need, the
FAA will develop and maintain a list of
qualified AC 90–101 RNP SAAAR
Approval Consultants to assist in the
approval process. This process will
benefit the general public by helping
expedite new entrant applications.
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DATES:
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(a) Eligibility Requirements: To be
identified as an FAA-qualified RNP
SAAAR Approval Consultant, the
following qualifications must be met:
(1) Have understanding of AC 90–101,
as revised, to include the individual
appendices. This includes a thorough
understanding of the approval process.
(2) At least 2 years experience
working with RNP SAAAR or
equivalent procedures.
(3) Upon selection for the program,
successfully complete an RNP SAAAR
Approval Process Seminar.
(4) Have operations and airworthiness
personnel qualified through training,
experience, and expertise in 14 CFR part
91, 121, 125, 129 and/or 135 operations,
or equivalent experience.
(b) Required Documentation: An
applicant to become RNP SAAAR
Approval Consultant must submit a
formal letter of request in addition to
the following documents:
(1) Statement substantiating that the
RNP SAAAR Approval Consultant
applicant meets eligibility requirements
as stated in item 1 above.
(2) Supplemental statement including
the names, signatures, and titles of those
persons who will perform the
authorized functions, and substantiating
that they meet the eligibility
requirements.
(3) RNP SAAAR Approval Consultant
Operations Manual.
(4) References.
(5) Certification that, to the best of its
knowledge and belief, the persons
serving as management of the
organization have not been convicted of,
or had a civil or administrative finding
rendered against, them for: commission
of fraud, embezzlement, theft, forgery,
bribery, falsification or destruction of
records, making false statements, or
receiving stolen property.
(c) How to Apply: An RNP SAAAR
Consultant applicant must submit all
required documents for consideration
before being identified as an FAAqualified RNP SAAAR Approval
Consultant to: Mr. Vincent Chirasello,
Federal Aviation Administration, AFS–
400 Flight Technologies and Procedures
Division, 470 L’Enfant Plaza, Suite
4102, Washington, DC 20024.
(d) Application Process: Upon receipt
of the application, AFS–400, will:
(1) Ensure the RNP SAAAR Approval
Consultant application package contains
all the required documents as listed in
item 2 above.
(2) Evaluate documents for accuracy.
(3) Ensure the RNP SAAAR
consultant application package contains
all the eligibility requirements as listed
in item 1 above.
(4) Contact the applicant’s personal
references.
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(5) Conduct a personal interview with
the applicant; including those persons
within organizations, if any, who will
perform authorized functions.
Auhority: The FAA is authorized to enter
into this Agreement by 49 U.S.C. 106(1), (6)
and (m).
Issued in Washington, DC on November 9,
2006.
John M. Allen,
Director, Flight Standards Service.
[FR Doc. 06–9245 Filed 11–22–06; 8:45 am]
BILLING CODE 4910–13–M
DEPARTMENT OF TRANSPORTATION
Federal Highway Administration
[Docket No. FHWA–2006–26125]
Agency Information Collection
Activities: Request for Comments for
New Information Collection
Federal Highway
Administration (FHWA), and National
Highway Traffic Safety Administration
(NHTSA), Department of Transportation
(DOT).
ACTION: Notice and request for
comments.
AGENCIES:
SUMMARY: The FHWA and the NHTSA
invite the public to comment on our
intention to request the Office of
Management and Budget (OMB) to
approve a new information collection.
This collection is summarized below
under Supplementary Information. We
are required to publish this notice in the
Federal Register by the Paperwork
Reduction Act of 1995.
DATES: Please submit comments by
January 23, 2007.
You may submit comments
identified by DOT DMS Docket Number
FHWA–2006–26125 by any of the
following methods:
• Web Site: https://dms.dot.gov.
Follow the instructions for submitting
comments on the DOT electronic docket
site.
• Fax: (202) 493–2251.
• Mail: Docket Management Facility;
U.S. Department of Transportation, 400
Seventh Street, S.W., Nassif Building,
Room PL–401, Washington, DC, 20590–
0001.
• Hand Delivery: Room PL–401 on
the plaza level of the Nassif Building,
400 Seventh Street, SW., Washington,
DC, between 9 a.m. and 5 p.m., Monday
through Friday, except Federal holidays.
Docket: For access to the docket to
read background documents or
comments received, go to https://
dms.dot.gov at any time or to Room 401
on the plaza level of the Nassif Building,
ADDRESSES:
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Federal Register / Vol. 71, No. 226 / Friday, November 24, 2006 / Notices
400 Seventh Street, S.W., Washington,
DC, between 9 a.m. and 5 p.m., Monday
through Friday, except Federal holidays.
FOR FURTHER INFORMATION CONTACT: For
questions concerning the FHWA
Motorcycle Crash Causation Study,
please contact Carol Tan, Ph.D, Office of
Safety Research and Development
(HRDS), at (202) 493–3315, TurnerFairbank Highway Research Center,
Federal Highway Administration, 6300
Georgetown Pike, McLean, VA, 22101,
between 9:00 a.m. and 5:30 p.m.,
Monday through Friday, except Federal
Holidays. For questions concerning the
Pilot Motorcycle Crash Causes and
Outcomes Study, please contact Paul J.
Tremont, Ph.D, Office of Behavioral
Safety Research, NTI–131, at (202) 366–
5588, National Highway Traffic Safety
Administration (NHTSA), 400 Seventh
Street, S.W., Washington, DC 20590
between 7:30 a.m. and 4:00 p.m.,
Monday through Friday, except Federal
Holidays.
SUPPLEMENTARY INFORMATION:
Title: Motorcycle Crash Causation
Study and Pilot Motorcycle Crash
Causes and Outcomes Study.
Background: In 2004, 4,008
motorcyclists were killed and 76,000
were injured in traffic crashes in the
United States, increases of 8 percent,
and 14 percent respectively from 2003.
Per vehicle mile traveled in 2003,
motorcyclists were about 32 times more
likely to die, and 6 times more likely to
be injured in a motor vehicle crash than
were passenger car occupants. Per 100
million miles traveled, in 2003,
motorcyclist fatalities were 57 percent
higher than they were in 1993. This
compares with a decrease of 17.8
percent in fatality rates for occupants in
passenger vehicles over the same
period. These data show that the
motorcycle crash problem is becoming
more severe.1
Congress has recognized this problem
and directed the Department of
Transportation to conduct research that
will provide a better understanding of
the causes of motorcycle crashes.
Specifically, in Section 5511 of the Safe,
Accountable, Flexible, Efficient
Transportation Equity Act: A Legacy for
Users (SAFETEA–LU) Pub. L. 109–59,
Congress directed the Secretary of
Transportation to provide grants to the
Oklahoma Transportation Center (OTC)
for the purpose of conducting a
comprehensive, in-depth motorcycle
crash causation study that employs the
1 More detailed information on motorcycle
crashes can be found in Traffic Safety Facts—
Motorcycles, published by NHTSA and available on
its Web site at: https://www.-nrd.nhtsa.dot.gov/pdf/
nrd-30/NCSA/Rpts/2006/810606.pdf.
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common international methodology for
in-depth motorcycle crash investigation
developed by the Organization for
Economic Cooperation and
Development (OECD).2 SAFETEA–LU
authorized $1,408,000 for each of fiscal
years 2006 and 2007, but provided for
an equal match by the Grantee (Sections
5511 and 5101). The Secretary delegated
authority to FHWA for the Motorcycle
Crash Causation Grants under Section
5511 (71 FR 30831).
Coordination of FHWA Main Study and
NHTSA Pilot Study
Prior to the SAFETEA–LU directive
by Congress to administer a full-scale
study of motorcycle crash causes,
NHTSA awarded a contract to conduct
a pilot study of Motorcycle Crash
Causes and Outcomes. The intent of this
pilot study is to examine appropriate
applications of the OECD methodology
to motorcycle crashes in the United
States. This pilot test is needed before
any full-scale study could be conducted
because the OECD methodology has not
previously been implemented in the
United States, and also because this
methodology incorporates some options
for collecting crash and control sample
data that are affected by logistical and
budget constraints.
The authorization of funds by
Congress for a full-scale motorcycle
crash study provided an opportunity for
the NHTSA pilot study to become
closely coordinated with the FHWA
main study. As a result, the pilot study
will test the procedures FHWA will
consider using as it implements the
OECD methodology. Additionally, it
may be possible for the pilot study to
transition directly into the main study,
thereby allowing the main study to
avoid many startup costs (e.g., site
selection, training, coding manual
development, data form development,
etc.) that it otherwise would have
incurred. This will allow the main study
to capture a larger sample of crashes
with the available funding. Recognizing
these advantages, the Department of
Transportation intends to submit a
single request to OMB for approval of
both of these studies. This notice is the
first step in that combined approval
request.
Project Working Group Guidance
A project working group consisting of
representatives from the motorcycle
industry and from the motorcycle
community was formed to provide input
into the study design. A working group
meeting was held in Denver on June 15–
2 The OECD methodology may be obtained by
sending a request to jtrc.contact@oecd.org.
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16, 2006. At this meeting, consensus
was reached that all the relevant OECD
variables would be captured in both the
NHTSA pilot and FHWA full-scale
studies, that some of these variables
would need to be modified to conform
to U.S. requirements, and that other
variables would need to be added to
provide necessary data related to the
U.S. roadway environment.
Proposed Data Acquisition
Methodology
Use of Parallel and Complementary
Procedures
The OECD describes two
complementary procedures to be
performed for acquiring the data needed
to understand the causes of motorcycle
crashes. The first of these is the
traditional in-depth crash investigation
that focuses on the sequence of events
leading up to the crash, and on the
motorcycle, rider, and environmental
characteristics that may have been
relevant to the crash. The second
procedure, known as the case-control
procedure, complements the first. It
requires the acquisition of matched
control data to allow for a determination
of the extent to which rider and driver
characteristics, and pre-crash factors
observed in the crash vehicles, are
present in similarly-at-risk control
vehicles.
Such a dual approach offers specific
advantages to the understanding of
crashes and the development of
countermeasures. The in-depth study of
the crash by itself allows for analysis of
the events antecedent to the crash, some
of which, if removed or altered, could
result in a change in subsequent events
that would have led to a non-crash, or
reduced crash severity outcome. For
example, an in-depth crash
investigation may reveal that an
automobile approaching an intersection
was in a lane designated for straight
through traffic only, but the motorist
proceeded to make a left turn from that
lane into the path of an oncoming
motorcycle. That finding can, by itself,
be used to develop countermeasures,
and does not require matched control
data. However, acquiring matched
control data from similarly-at-risk riders
and drivers provides additional critical
information about crash causes that
cannot be obtained if only crashes are
examined. The main purpose of
acquiring matched data is to allow for
inferences to be made regarding risk
factors for crash causes. A brief
explanation is provided here so that
those less familiar with case-control
procedures will understand the
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Federal Register / Vol. 71, No. 226 / Friday, November 24, 2006 / Notices
advantage of acquiring controls.3
Consider a hypothetical situation where
it is observed that the proportion of
motorcycle riders involved in crashes
that have a positive Blood Alcohol
Content (BAC) is the same as the
proportion of matched (similarly-at-risk)
control motorcycle riders not involved
in crashes. And assume that the
proportion of passenger-vehicle
motorists who crash with motorcycles at
a positive BAC is greater than matched
control passenger-vehicle motorists.
These data considered together would
suggest that for crashes involving
passenger vehicles and motorcycles,
alcohol is a bigger risk factor for
passenger vehicle drivers than it is for
motorcycle riders. That is, the relative
risk of crash involvement attributable to
alcohol in motorcycle-automobile
crashes is greater for passenger-vehicle
motorists than for motorcyclists. Other
risk factors for crashes (i.e., age, gender,
riding and driving experience, fatigue
level) for both motorcyclists and
motorists can also be examined in this
manner. If scaled interval measurements
of risk factor levels are obtained (for
example, if the level of alcohol is
measured, not just its presence or
absence), then it becomes possible to
calculate functions showing how risk
changes with changes in the variable of
interest. Such risk functions are highly
useful in the development of
countermeasures.4
Issues Related to Sampling
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Characteristics of the Crash Sample
To properly acquire in-depth crash
data, it is necessary to find a location in
the country that experiences the full
range of motorcycle crash types that
occur under a wide range of conditions
and with a wide range of motorcycle
rider characteristics. The location must
also have a sufficiently high frequency
of motorcycle crashes to allow
acquisition of the crash data in a
3 This being a study of crashes involving
motorcycles, data will be acquired from both crashinvolved motorcycles and also motor vehicles
involved in those crashes as countermeasures may
be developed separately for each that could lead to
a reduction in crashes involving motorcycles.
Similarly, when control data are acquired, data
from similarly-at-risk motorcycle rider controls and
similarly-at-risk automobile driver controls will
also be acquired. This way a balanced picture of the
causes of crashes involving motorcycles and other
vehicles will emerge.
4 Certainly other outcomes besides the one
presented are possible, and other comparisons are
of interest. For example, it would be useful to
compare crash-involved motorcyclists to non-crash
involved motorcyclists and crash-involved
passenger vehicle motorists to non-crash involved
passenger-vehicle motorists. These comparisons
would allow for estimates of changes in relative
risks for riders and drivers independently.
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reasonable amount of time. It is
anticipated that it will be possible to
find a single location meeting these
requirements.
It is not necessary that the crash types
observed (or other composite indices or
parameters of interest) be drawn from a
nationally representative sample,
because it is not the intent of FHWA to
make projections of the national
incidence of the causes of crashes
involving motorcycles from this study.
Rather, the focus will be on identifying
the antecedents and risk factors
associated with motorcycle crashes. If it
is deemed necessary, FHWA and
NHTSA may utilize their alternative
databases that incorporate certain of the
key variables that will be acquired in
this study, and those databases could be
used in conjunction with this study’s
data to make national estimates of
population parameters of interest.5
In addition, the crash investigations
will be conducted on-scene, while the
involved operators and vehicles are still
in place. This provides access to
physical data that is less disturbed by
rescue and clean up activities. It also
facilitates the collection of interview
data while memories are unaffected.
This quick-response approach is most
effective when a census of applicable
crashes is selected for inclusion.
Characteristics of the Control Sample
While the occurrence of a crash
involving a motorcycle in the study site
is sufficient for it to be selected into the
study, selecting the similarly-at-risk
controls is not as straightforward. The
OECD recommends several options for
acquiring matched controls including
interviewing motorcyclists who may be
filling up at nearby gas stations, taking
videos of motorcyclists who pass the
crash scenes, and interviewing
motorcyclists at the location of the crash
location at the same time of day, same
day of week, and same direction of
travel. The first of these methods suffers
from the shortcoming that a rider or
motorist filling his fuel tank is not
presented with the same risks, in the
same setting, as is the crash-involved
rider and motorist. To illustrate,
consider a motorcycle rider who is hit
from the rear by a passenger vehicle
motorist on a Friday night at 1:00 a.m.
5 There is a lengthy precedent for studying
crashes using case-control methods including the
Grand Rapids study, (Borkenstein, R.F., Crowther,
F.R., Shumate, R.P., Ziel, W.B. & Zylman, R. (1974).
The Role of the Drinking Driver in Traffic Accidents
(The Grand Rapids Study). Blutalkohol, 11,
Supplement 1), and of course the Hurt study, (Hurt,
H.H., Jr., Ouellet, J.V., and Thom, D.R. (1981).
Motorcycle Accident Cause Factors and
Identification of Countermeasures Volume I:
Technical Report).
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There is a reasonable chance that
alcohol is involved in this crash, but to
estimate the relative risk it will not help
to measure the BAC of passenger vehicle
motorists (and motorcyclists) at a nearby
gas station. Passenger-vehicle motorists
and motorcyclists will need to be
sampled at the location of the crash on
the same day of the week, at the same
hour, and from the same travel
direction. Even if the suspected risk
factor is not alcohol, but some other
variable (e.g., distraction associated
with cell phone use), it is still highly
advantageous to acquire the comparison
data at the crash locations (matched on
time and direction), rather than
somewhere else.
Using the second method mentioned
above, acquiring the risk sample by
taking video at the crash scenes
provides a similarly-at-risk pool, and it
also allows for many controls to be
acquired at low cost. Its chief
disadvantage is that it does not allow
capture of some of the key risk factors
for crashes (e.g., BAC), while others
(e.g., fatigue) may be very difficult to
capture. However, some risk factors
could be acquired later by contacting
the riders and drivers if license tag
numbers are recorded, and so this
method could be used to supplement
the safety zone interview (described
below).
The final method, the voluntary safety
research interview, involves setting up a
safety zone at the crash location, one
week later at the same time of day, and
asking those drivers and motorcyclists
who pass through to volunteer in a
study. With this method, Certificates of
Confidentiality are presented to each
interviewed driver and rider and
immunity is provided from arrest. The
main advantage of this method is that
the key variables that are thought to
affect relative crash risk can be acquired
from drivers and riders who are truly
similarly-at-risk. A final decision on the
means of acquiring control data has not
been made.
Information Proposed for Collection
The OECD protocol includes the
following number of variables for each
aspect of the investigation:
Administrative log: 28
Accident typology/configuration: 9
Environmental factors: 35
Motorcycle mechanical factors: 146
Motorcycle dynamics: 32
Other vehicle mechanical factors: 9
Other vehicle dynamics: 18
Human factors: 51
Personal protective equipment: 34
Contributing environmental factors: 8
Contributing vehicle factors: 13
Contributing motorcycle factors: 57
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Contributing human factors: 50
Contributing overall factors: 2
Note that multiple copies of various
data forms will be completed as the data
on each crash-involved vehicle and
person and each control vehicle and
person are acquired. This increases the
number of variables above the sum of
what is presented above. There are also
diagrams and photographs that are
essential elements of each investigation
that are entered into the database. In
prior OECD implementations, about
2,000 data elements in total were
recorded for each crash.
Estimated Burden Hours for
Information Collection
Frequency: This is a one time study.
Respondents: This study will be based
on all crashes occurring within the
sampling area; however, this burden
estimate is based on what we know
about fatal crashes. The plan calls for
data to be captured from up to 1200
crashes with motorcycle involvement,
and for all surviving crash-involved
riders and drivers to be interviewed.
Two control riders will be interviewed
for each crash-involved motorcyclist,
and one rider and one driver will be
interviewed for each rider and motorist
in multi-vehicle crashes. Passengers
accompanying crash-involved riders
and passenger-vehicle drivers will also
be interviewed. The following table
shows the sampling plan and estimated
number of interviews assuming 1200
crashes are investigated.6
Maximum total crashes to be
investigated is 1200.
Crash Interviews
Single vehicle motorcycle crashes =
540
Multi-vehicle (2-vehicle) motorcycle
crashes (660*2) = 1320
Passenger interviews motorcycle (.10*
540 + .10*660) = 120
Passenger interviews cars (.68*660) =
449
Total Crash Interviews
(540+1320+120+449) = 2429
Control interviews
Controls for single vehicle motorcycle
crashes (2*540) = 1080
Controls for multi-vehicle motorcycle
crashes (1*660 + 1*660) = 1320
Passenger Interviews = 0
Total Control Interviews = 2400
Grand Total Crash plus Control
Interviews (2429+2400) = 4829
Estimated Average Burden per
Interviewee: Crash interviews are
6 The final crash sample size will depend on the
rate at which crashes can be acquired in the
selected site(s) and other matters related to logistics
and the final budget. However, the study will
acquire crashes on a sample size that exceeds the
requirements of the OECD methodology, and will be
of sufficient size to meet the goals of the study.
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estimated to require about 15 minutes
per individual interviewed To the
extent possible, crash interviews will be
collected at the scene, although it is
likely that some follow-ups will be
needed to get completed interviews
from crash involved individuals.
Control individuals’ interviews will be
completed in a single session and are
expected to require about 10 minutes
per individual.
Estimated Total Annual Burden
Hours: Burden hours estimates are
based on the total of 2,429 crash
interviews to be conducted at an average
length of 15 minutes each and 2,400
control interviews to be conducted at an
average length of 10 minutes each for a
total one-time burden on the public of
60,435 minutes or 1007.25 hours.
Public Comments Invited: You are
asked to comment on any aspect of this
information collection, including: (1)
Whether the proposed collection is
necessary for FHWA’s and NHSTA
performance; (2) the accuracy of the
estimated burden, (3) ways for the
FHWA and NHTSA to enhance the
quality, usefulness, and clarity of the
collected information; and (4) ways that
the burden could be minimized,
including the use of electronic
technology, without reducing the
quality of the collected information. The
agency will summarize and/or include
your comments in the request for OMB’s
clearance of this information collection.
Authority: The Paperwork Reduction Act
of 1995; 44 U.S.C. Chapter 35, as amended;
and 49 CFR 1.48.
Issued on: November 15, 2006.
James R. Kabel,
Chief, Management Programs and Analysis
Division.
[FR Doc. E6–19831 Filed 11–22–06; 8:45 am]
BILLING CODE 4910–22–P
DEPARTMENT OF TRANSPORTATION
Federal Highway Administration
Environmental Impact Statement:
Hunterdon County, NJ
Federal Highway
Administration (FHWA), DOT.
ACTION: Notice of Intent.
AGENCY:
SUMMARY: The FHWA is issuing this
notice to advise the public that an
environmental impact statement (EIS)
will be prepared for a proposed highway
project in Hunterdon County, New
Jersey.
FOR FURTHER INFORMATION CONTACT:
Tanya Emam, Engineering Coordinator,
Federal Highway Administration, New
Jersey Division Office, 840 Bear Tavern
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67955
Road, Suite 310, West Trenton, NJ
08628–1019, Telephone: (609) 637–
4200.
The
FHWA, in cooperation with the New
Jersey Department of Transportation
(NJDOT), will prepare an EIS on a
proposed action to construct the South
Branch Parkway in Hunterdon County,
New Jersey, Federal Project No. HPP–
0037(139). The proposed project will
consist of the construction of a limited
access highway on new location for a
distance of approximately 3.7 miles.
The parkway would extend from a
proposed intersection at Voorhees
Corner Road, northward to a proposed
intersection at existing Route 31, at a
point approximately 0.5 mile north of
the existing intersection of Route 31 and
Bartles Corner Road.
The purpose of the South Branch
Parkway is to provide an alternative to
Route 31 for north-south travel through
the Flemington-Raritan area and
increase overall connectivity with the
local roadway network; to reduce
congestion on existing Route 31 to
facilitate movement of both local and
regional traffic; to provide the initial
investment in a long-term Integrated
Land Use and Transportation Plan that
effectively shapes existing and future
development into a land-use pattern
that does not increase demand beyond
the State highway system’s roadway
capacity; and to lead to a more balanced
transportation network and land use
patterns that decrease reliance on the
automobile and encourage pedestrian
and bicycle travel through the area. The
selected transportation solution will
represent a long-term, cost-effective
capital investment consistent with
Smart Growth principles.
Alternatives under consideration
include: (1) Taking no action; and (2)
constructing a new two-lane, limited
access highway as described above. This
alternative includes a multi-use bicycle/
pedestrian path along the length of the
parkway; an optional center grass
median; two options for a minor shift in
the southern terminus location; and
analysis of proposed intersections and
roundabouts throughout the project
length.
Input for further defining the purpose
and need for the proposed project, and
range of alternatives under
consideration, will be accomplished via
the following: In October 2006, a Public
Officials Briefing (POB) and a Public
Information Center (PIC) were held
within the project area to update local
stakeholders regarding the project status
and to elicit early commentary. In the
near future, letters describing the
SUPPLEMENTARY INFORMATION:
E:\FR\FM\24NON1.SGM
24NON1
Agencies
[Federal Register Volume 71, Number 226 (Friday, November 24, 2006)]
[Notices]
[Pages 67952-67955]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: E6-19831]
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DEPARTMENT OF TRANSPORTATION
Federal Highway Administration
[Docket No. FHWA-2006-26125]
Agency Information Collection Activities: Request for Comments
for New Information Collection
AGENCIES: Federal Highway Administration (FHWA), and National Highway
Traffic Safety Administration (NHTSA), Department of Transportation
(DOT).
ACTION: Notice and request for comments.
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SUMMARY: The FHWA and the NHTSA invite the public to comment on our
intention to request the Office of Management and Budget (OMB) to
approve a new information collection. This collection is summarized
below under Supplementary Information. We are required to publish this
notice in the Federal Register by the Paperwork Reduction Act of 1995.
DATES: Please submit comments by January 23, 2007.
ADDRESSES: You may submit comments identified by DOT DMS Docket Number
FHWA-2006-26125 by any of the following methods:
Web Site: https://dms.dot.gov. Follow the instructions for
submitting comments on the DOT electronic docket site.
Fax: (202) 493-2251.
Mail: Docket Management Facility; U.S. Department of
Transportation, 400 Seventh Street, S.W., Nassif Building, Room PL-401,
Washington, DC, 20590-0001.
Hand Delivery: Room PL-401 on the plaza level of the
Nassif Building, 400 Seventh Street, SW., Washington, DC, between 9
a.m. and 5 p.m., Monday through Friday, except Federal holidays.
Docket: For access to the docket to read background documents or
comments received, go to https://dms.dot.gov at any time or to Room 401
on the plaza level of the Nassif Building,
[[Page 67953]]
400 Seventh Street, S.W., Washington, DC, between 9 a.m. and 5 p.m.,
Monday through Friday, except Federal holidays.
FOR FURTHER INFORMATION CONTACT: For questions concerning the FHWA
Motorcycle Crash Causation Study, please contact Carol Tan, Ph.D,
Office of Safety Research and Development (HRDS), at (202) 493-3315,
Turner-Fairbank Highway Research Center, Federal Highway
Administration, 6300 Georgetown Pike, McLean, VA, 22101, between 9:00
a.m. and 5:30 p.m., Monday through Friday, except Federal Holidays. For
questions concerning the Pilot Motorcycle Crash Causes and Outcomes
Study, please contact Paul J. Tremont, Ph.D, Office of Behavioral
Safety Research, NTI-131, at (202) 366-5588, National Highway Traffic
Safety Administration (NHTSA), 400 Seventh Street, S.W., Washington, DC
20590 between 7:30 a.m. and 4:00 p.m., Monday through Friday, except
Federal Holidays.
SUPPLEMENTARY INFORMATION:
Title: Motorcycle Crash Causation Study and Pilot Motorcycle Crash
Causes and Outcomes Study.
Background: In 2004, 4,008 motorcyclists were killed and 76,000
were injured in traffic crashes in the United States, increases of 8
percent, and 14 percent respectively from 2003. Per vehicle mile
traveled in 2003, motorcyclists were about 32 times more likely to die,
and 6 times more likely to be injured in a motor vehicle crash than
were passenger car occupants. Per 100 million miles traveled, in 2003,
motorcyclist fatalities were 57 percent higher than they were in 1993.
This compares with a decrease of 17.8 percent in fatality rates for
occupants in passenger vehicles over the same period. These data show
that the motorcycle crash problem is becoming more severe.\1\
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\1\ More detailed information on motorcycle crashes can be found
in Traffic Safety Facts--Motorcycles, published by NHTSA and
available on its Web site at: https://www.-nrd.nhtsa.dot.gov/pdf/nrd-
30/NCSA/Rpts/2006/810606.pdf.
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Congress has recognized this problem and directed the Department of
Transportation to conduct research that will provide a better
understanding of the causes of motorcycle crashes. Specifically, in
Section 5511 of the Safe, Accountable, Flexible, Efficient
Transportation Equity Act: A Legacy for Users (SAFETEA-LU) Pub. L. 109-
59, Congress directed the Secretary of Transportation to provide grants
to the Oklahoma Transportation Center (OTC) for the purpose of
conducting a comprehensive, in-depth motorcycle crash causation study
that employs the common international methodology for in-depth
motorcycle crash investigation developed by the Organization for
Economic Cooperation and Development (OECD).\2\ SAFETEA-LU authorized
$1,408,000 for each of fiscal years 2006 and 2007, but provided for an
equal match by the Grantee (Sections 5511 and 5101). The Secretary
delegated authority to FHWA for the Motorcycle Crash Causation Grants
under Section 5511 (71 FR 30831).
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\2\ The OECD methodology may be obtained by sending a request to
jtrc.contact@oecd.org.
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Coordination of FHWA Main Study and NHTSA Pilot Study
Prior to the SAFETEA-LU directive by Congress to administer a full-
scale study of motorcycle crash causes, NHTSA awarded a contract to
conduct a pilot study of Motorcycle Crash Causes and Outcomes. The
intent of this pilot study is to examine appropriate applications of
the OECD methodology to motorcycle crashes in the United States. This
pilot test is needed before any full-scale study could be conducted
because the OECD methodology has not previously been implemented in the
United States, and also because this methodology incorporates some
options for collecting crash and control sample data that are affected
by logistical and budget constraints.
The authorization of funds by Congress for a full-scale motorcycle
crash study provided an opportunity for the NHTSA pilot study to become
closely coordinated with the FHWA main study. As a result, the pilot
study will test the procedures FHWA will consider using as it
implements the OECD methodology. Additionally, it may be possible for
the pilot study to transition directly into the main study, thereby
allowing the main study to avoid many startup costs (e.g., site
selection, training, coding manual development, data form development,
etc.) that it otherwise would have incurred. This will allow the main
study to capture a larger sample of crashes with the available funding.
Recognizing these advantages, the Department of Transportation intends
to submit a single request to OMB for approval of both of these
studies. This notice is the first step in that combined approval
request.
Project Working Group Guidance
A project working group consisting of representatives from the
motorcycle industry and from the motorcycle community was formed to
provide input into the study design. A working group meeting was held
in Denver on June 15-16, 2006. At this meeting, consensus was reached
that all the relevant OECD variables would be captured in both the
NHTSA pilot and FHWA full-scale studies, that some of these variables
would need to be modified to conform to U.S. requirements, and that
other variables would need to be added to provide necessary data
related to the U.S. roadway environment.
Proposed Data Acquisition Methodology
Use of Parallel and Complementary Procedures
The OECD describes two complementary procedures to be performed for
acquiring the data needed to understand the causes of motorcycle
crashes. The first of these is the traditional in-depth crash
investigation that focuses on the sequence of events leading up to the
crash, and on the motorcycle, rider, and environmental characteristics
that may have been relevant to the crash. The second procedure, known
as the case-control procedure, complements the first. It requires the
acquisition of matched control data to allow for a determination of the
extent to which rider and driver characteristics, and pre-crash factors
observed in the crash vehicles, are present in similarly-at-risk
control vehicles.
Such a dual approach offers specific advantages to the
understanding of crashes and the development of countermeasures. The
in-depth study of the crash by itself allows for analysis of the events
antecedent to the crash, some of which, if removed or altered, could
result in a change in subsequent events that would have led to a non-
crash, or reduced crash severity outcome. For example, an in-depth
crash investigation may reveal that an automobile approaching an
intersection was in a lane designated for straight through traffic
only, but the motorist proceeded to make a left turn from that lane
into the path of an oncoming motorcycle. That finding can, by itself,
be used to develop countermeasures, and does not require matched
control data. However, acquiring matched control data from similarly-
at-risk riders and drivers provides additional critical information
about crash causes that cannot be obtained if only crashes are
examined. The main purpose of acquiring matched data is to allow for
inferences to be made regarding risk factors for crash causes. A brief
explanation is provided here so that those less familiar with case-
control procedures will understand the
[[Page 67954]]
advantage of acquiring controls.\3\ Consider a hypothetical situation
where it is observed that the proportion of motorcycle riders involved
in crashes that have a positive Blood Alcohol Content (BAC) is the same
as the proportion of matched (similarly-at-risk) control motorcycle
riders not involved in crashes. And assume that the proportion of
passenger-vehicle motorists who crash with motorcycles at a positive
BAC is greater than matched control passenger-vehicle motorists. These
data considered together would suggest that for crashes involving
passenger vehicles and motorcycles, alcohol is a bigger risk factor for
passenger vehicle drivers than it is for motorcycle riders. That is,
the relative risk of crash involvement attributable to alcohol in
motorcycle-automobile crashes is greater for passenger-vehicle
motorists than for motorcyclists. Other risk factors for crashes (i.e.,
age, gender, riding and driving experience, fatigue level) for both
motorcyclists and motorists can also be examined in this manner. If
scaled interval measurements of risk factor levels are obtained (for
example, if the level of alcohol is measured, not just its presence or
absence), then it becomes possible to calculate functions showing how
risk changes with changes in the variable of interest. Such risk
functions are highly useful in the development of countermeasures.\4\
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\3\ This being a study of crashes involving motorcycles, data
will be acquired from both crash-involved motorcycles and also motor
vehicles involved in those crashes as countermeasures may be
developed separately for each that could lead to a reduction in
crashes involving motorcycles. Similarly, when control data are
acquired, data from similarly-at-risk motorcycle rider controls and
similarly-at-risk automobile driver controls will also be acquired.
This way a balanced picture of the causes of crashes involving
motorcycles and other vehicles will emerge.
\4\ Certainly other outcomes besides the one presented are
possible, and other comparisons are of interest. For example, it
would be useful to compare crash-involved motorcyclists to non-crash
involved motorcyclists and crash-involved passenger vehicle
motorists to non-crash involved passenger-vehicle motorists. These
comparisons would allow for estimates of changes in relative risks
for riders and drivers independently.
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Issues Related to Sampling
Characteristics of the Crash Sample
To properly acquire in-depth crash data, it is necessary to find a
location in the country that experiences the full range of motorcycle
crash types that occur under a wide range of conditions and with a wide
range of motorcycle rider characteristics. The location must also have
a sufficiently high frequency of motorcycle crashes to allow
acquisition of the crash data in a reasonable amount of time. It is
anticipated that it will be possible to find a single location meeting
these requirements.
It is not necessary that the crash types observed (or other
composite indices or parameters of interest) be drawn from a nationally
representative sample, because it is not the intent of FHWA to make
projections of the national incidence of the causes of crashes
involving motorcycles from this study. Rather, the focus will be on
identifying the antecedents and risk factors associated with motorcycle
crashes. If it is deemed necessary, FHWA and NHTSA may utilize their
alternative databases that incorporate certain of the key variables
that will be acquired in this study, and those databases could be used
in conjunction with this study's data to make national estimates of
population parameters of interest.\5\
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\5\ There is a lengthy precedent for studying crashes using
case-control methods including the Grand Rapids study, (Borkenstein,
R.F., Crowther, F.R., Shumate, R.P., Ziel, W.B. & Zylman, R. (1974).
The Role of the Drinking Driver in Traffic Accidents (The Grand
Rapids Study). Blutalkohol, 11, Supplement 1), and of course the
Hurt study, (Hurt, H.H., Jr., Ouellet, J.V., and Thom, D.R. (1981).
Motorcycle Accident Cause Factors and Identification of
Countermeasures Volume I: Technical Report).
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In addition, the crash investigations will be conducted on-scene,
while the involved operators and vehicles are still in place. This
provides access to physical data that is less disturbed by rescue and
clean up activities. It also facilitates the collection of interview
data while memories are unaffected. This quick-response approach is
most effective when a census of applicable crashes is selected for
inclusion.
Characteristics of the Control Sample
While the occurrence of a crash involving a motorcycle in the study
site is sufficient for it to be selected into the study, selecting the
similarly-at-risk controls is not as straightforward. The OECD
recommends several options for acquiring matched controls including
interviewing motorcyclists who may be filling up at nearby gas
stations, taking videos of motorcyclists who pass the crash scenes, and
interviewing motorcyclists at the location of the crash location at the
same time of day, same day of week, and same direction of travel. The
first of these methods suffers from the shortcoming that a rider or
motorist filling his fuel tank is not presented with the same risks, in
the same setting, as is the crash-involved rider and motorist. To
illustrate, consider a motorcycle rider who is hit from the rear by a
passenger vehicle motorist on a Friday night at 1:00 a.m. There is a
reasonable chance that alcohol is involved in this crash, but to
estimate the relative risk it will not help to measure the BAC of
passenger vehicle motorists (and motorcyclists) at a nearby gas
station. Passenger-vehicle motorists and motorcyclists will need to be
sampled at the location of the crash on the same day of the week, at
the same hour, and from the same travel direction. Even if the
suspected risk factor is not alcohol, but some other variable (e.g.,
distraction associated with cell phone use), it is still highly
advantageous to acquire the comparison data at the crash locations
(matched on time and direction), rather than somewhere else.
Using the second method mentioned above, acquiring the risk sample
by taking video at the crash scenes provides a similarly-at-risk pool,
and it also allows for many controls to be acquired at low cost. Its
chief disadvantage is that it does not allow capture of some of the key
risk factors for crashes (e.g., BAC), while others (e.g., fatigue) may
be very difficult to capture. However, some risk factors could be
acquired later by contacting the riders and drivers if license tag
numbers are recorded, and so this method could be used to supplement
the safety zone interview (described below).
The final method, the voluntary safety research interview, involves
setting up a safety zone at the crash location, one week later at the
same time of day, and asking those drivers and motorcyclists who pass
through to volunteer in a study. With this method, Certificates of
Confidentiality are presented to each interviewed driver and rider and
immunity is provided from arrest. The main advantage of this method is
that the key variables that are thought to affect relative crash risk
can be acquired from drivers and riders who are truly similarly-at-
risk. A final decision on the means of acquiring control data has not
been made.
Information Proposed for Collection
The OECD protocol includes the following number of variables for
each aspect of the investigation:
Administrative log: 28
Accident typology/configuration: 9
Environmental factors: 35
Motorcycle mechanical factors: 146
Motorcycle dynamics: 32
Other vehicle mechanical factors: 9
Other vehicle dynamics: 18
Human factors: 51
Personal protective equipment: 34
Contributing environmental factors: 8
Contributing vehicle factors: 13
Contributing motorcycle factors: 57
[[Page 67955]]
Contributing human factors: 50
Contributing overall factors: 2
Note that multiple copies of various data forms will be completed
as the data on each crash-involved vehicle and person and each control
vehicle and person are acquired. This increases the number of variables
above the sum of what is presented above. There are also diagrams and
photographs that are essential elements of each investigation that are
entered into the database. In prior OECD implementations, about 2,000
data elements in total were recorded for each crash.
Estimated Burden Hours for Information Collection
Frequency: This is a one time study.
Respondents: This study will be based on all crashes occurring
within the sampling area; however, this burden estimate is based on
what we know about fatal crashes. The plan calls for data to be
captured from up to 1200 crashes with motorcycle involvement, and for
all surviving crash-involved riders and drivers to be interviewed. Two
control riders will be interviewed for each crash-involved
motorcyclist, and one rider and one driver will be interviewed for each
rider and motorist in multi-vehicle crashes. Passengers accompanying
crash-involved riders and passenger-vehicle drivers will also be
interviewed. The following table shows the sampling plan and estimated
number of interviews assuming 1200 crashes are investigated.\6\
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\6\ The final crash sample size will depend on the rate at which
crashes can be acquired in the selected site(s) and other matters
related to logistics and the final budget. However, the study will
acquire crashes on a sample size that exceeds the requirements of
the OECD methodology, and will be of sufficient size to meet the
goals of the study.
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Maximum total crashes to be investigated is 1200.
Crash Interviews
Single vehicle motorcycle crashes = 540
Multi-vehicle (2-vehicle) motorcycle crashes (660*2) = 1320
Passenger interviews motorcycle (.10* 540 + .10*660) = 120
Passenger interviews cars (.68*660) = 449
Total Crash Interviews (540+1320+120+449) = 2429
Control interviews
Controls for single vehicle motorcycle crashes (2*540) = 1080
Controls for multi-vehicle motorcycle crashes (1*660 + 1*660) =
1320
Passenger Interviews = 0
Total Control Interviews = 2400
Grand Total Crash plus Control Interviews (2429+2400) = 4829
Estimated Average Burden per Interviewee: Crash interviews are
estimated to require about 15 minutes per individual interviewed To the
extent possible, crash interviews will be collected at the scene,
although it is likely that some follow-ups will be needed to get
completed interviews from crash involved individuals. Control
individuals' interviews will be completed in a single session and are
expected to require about 10 minutes per individual.
Estimated Total Annual Burden Hours: Burden hours estimates are
based on the total of 2,429 crash interviews to be conducted at an
average length of 15 minutes each and 2,400 control interviews to be
conducted at an average length of 10 minutes each for a total one-time
burden on the public of 60,435 minutes or 1007.25 hours.
Public Comments Invited: You are asked to comment on any aspect of
this information collection, including: (1) Whether the proposed
collection is necessary for FHWA's and NHSTA performance; (2) the
accuracy of the estimated burden, (3) ways for the FHWA and NHTSA to
enhance the quality, usefulness, and clarity of the collected
information; and (4) ways that the burden could be minimized, including
the use of electronic technology, without reducing the quality of the
collected information. The agency will summarize and/or include your
comments in the request for OMB's clearance of this information
collection.
Authority: The Paperwork Reduction Act of 1995; 44 U.S.C.
Chapter 35, as amended; and 49 CFR 1.48.
Issued on: November 15, 2006.
James R. Kabel,
Chief, Management Programs and Analysis Division.
[FR Doc. E6-19831 Filed 11-22-06; 8:45 am]
BILLING CODE 4910-22-P