Information Collection: Atlantic Offshore Wind Energy Development-Public Attitudes, Values, and Implications for Tourism and Recreation; Submitted for OMB Review; Comment Request, 62567-62569 [2015-25971]

Download as PDF srobinson on DSK5SPTVN1PROD with NOTICES Federal Register / Vol. 80, No. 200 / Friday, October 16, 2015 / Notices In 1947–1951, human remains representing, at minimum, one individual were removed from the Chewapa site in Lee County, MS, by an unknown individual who gave the remains to the WPA survey in the area. The site is dated to the Miller III/Late Woodland period (circa A.D. 500–1200). No known individuals were identified. No associated funerary objects are present. In 1948, human remains representing, at minimum, one individual were removed from Headquarters Mound in Lee County, MS, during excavation and survey. The site dates to the Late Woodland period (circa A.D. 500–1000). No known individuals were identified. No associated funerary objects are present. In 1948, human remains representing, at minimum, three individuals were removed from Old Rodgers Place Number One in Lee County, MS, during a WPA survey. The site is prehistoric Native American, but an exact date is unknown. No known individuals were identified. No associated funerary objects are present. In 1949, human remains representing, at minimum, one individual, were removed from the Coonewah Creek site in Lee County, MS, during a site survey. The site dates to the Miller III/Late Woodland Period (circa A.D. 500–1200). No known individuals were identified. No associated funerary objects are present. In 1965, human remains representing, at minimum, three individuals were removed from Bear Creek Temple Mound in Tishomingo County, MS, during archeological investigations. The site dates to the Late Mississippian period (circa A.D. 1400–1600). No known individuals were identified. The three associated funerary objects are one untyped vessel fragment and two deer bones. In 1972, human remains representing, at minimum, six individuals were removed from Pharr Mounds in Prentiss County, MS, during excavations of the village area and four mounds. The site dates to the Miller I–II phases of the Middle Woodland period (circa A.D. 0– 500). No known individuals were identified. The 14 associated funerary objects are 7 Saltillo Fabric vessel fragments, 6 Baldwin Plain vessel fragments, and 1 untyped vessel fragment. In 1978, human remains representing, at minimum, two individuals were removed from Pharr Mounds in Prentiss County, MS. The remains were removed during excavations to investigate the impact of construction near the site. No VerDate Sep<11>2014 18:54 Oct 15, 2015 Jkt 238001 known individuals were identified. No associated funerary objects are present. Cultural affiliation of the human remains described above could not be determined due to uncertain burial provenience, lack of culturally affiliated historic artifacts, and/or the antiquity of the remains. 62567 and the United Keetoowah Band of Cherokee Indians in Oklahoma that this notice has been published. Dated: August 25, 2015. Melanie O’Brien, Manager, National NAGPRA Program. [FR Doc. 2015–26331 Filed 10–15–15; 8:45 am] BILLING CODE 4312–50–P Determinations Made by Natchez Trace Parkway Officials of Natchez Trace Parkway have determined that: • Pursuant to 25 U.S.C. 3001(9), the human remains described in this notice are Native American based on archeological context. • Pursuant to 25 U.S.C. 3001(9), the human remains described in this notice represent the physical remains of 60 individuals of Native American ancestry. • Pursuant to 25 U.S.C. 3001(3)(A), the 365 objects described in this notice are reasonably believed to have been placed with or near individual human remains at the time of death or later as part of the death rite or ceremony. The National Park Service intends to convey the associated funerary objects to the tribes pursuant to 16 U.S.C. 18f–2. • Pursuant to 25 U.S.C. 3001(2), a relationship of shared group identity cannot be reasonably traced between the Native American human remains and associated funerary objects and any present-day Indian tribe. • Treaties, Acts of Congress, or Executive Orders, indicate that the land from which the Native American human remains and associated funerary objects were removed is the aboriginal land of The Chickasaw Nation. • Pursuant to 43 CFR 10.11(c)(1), the disposition of the human remains and associated funerary objects may be to The Chickasaw Nation. Additional Requestors and Disposition Representatives of any Indian tribe or Native Hawaiian organization not identified in this notice that wish to request transfer of control of these human remains and associated funerary objects should submit a written request with information in support of the request to Mary Risser, Superintendent, Natchez Trace Parkway, 2680 Natchez Trace Parkway, Tupelo, MS 38804– 9715, telephone (662) 680–4005, email mary_risser@nps.gov, by November 16, 2015. After that date, if no additional requestors have come forward, transfer of control of the human remains and associated funerary objects to The Chickasaw Nation may proceed. Natchez Trace Parkway is responsible for notifying the Alabama-Coushatta Tribe of Texas, The Chickasaw Nation, PO 00000 Frm 00055 Fmt 4703 Sfmt 4703 DEPARTMENT OF THE INTERIOR Bureau of Ocean Energy Management [OMB Number 1010—New; MMAA104000] Information Collection: Atlantic Offshore Wind Energy Development— Public Attitudes, Values, and Implications for Tourism and Recreation; Submitted for OMB Review; Comment Request ACTION: 30-day notice. To comply with the Paperwork Reduction Act of 1995 (PRA), the Bureau of Ocean Energy Management (BOEM) is notifying the public that we have submitted an information collection request (ICR) to the Office of Management and Budget (OMB) for review and approval. The ICR concerns a new survey on the potential impacts of Atlantic offshore wind energy development on coastal tourism and recreation. This notice provides the public a second opportunity to comment on the paperwork burden of this collection. DATES: Submit written comments by November 16, 2015. ADDRESSES: Submit comments on this ICR to the Desk Officer for the Department of the Interior at OMB– OIRA at (202) 395–5806 (fax) or OIRA_ submission@omb.eop.gov (email). Please provide a copy of your comments to the BOEM Information Collection Clearance Officer, Kye Mason, Bureau of Ocean Energy Management, 45600 Woodland Road, Sterling, Virginia 20166 (mail) or kye.mason@boem.gov (email). Please reference ICR 1010–New in your comment and include your name and return address. FOR FURTHER INFORMATION CONTACT: Kye Mason, Office of Policy, Regulations, and Analysis at kye.mason@boem.gov (email) or (703) 787–1025 (phone). You may review the ICR online at https:// www.reginfo.gov. Follow the instructions to review Department of the Interior collections under review by OMB. SUPPLEMENTARY INFORMATION: OMB Control Number: 1010—New. Title: Atlantic Offshore Wind Energy Development: Public Attitudes, Values, SUMMARY: E:\FR\FM\16OCN1.SGM 16OCN1 62568 Federal Register / Vol. 80, No. 200 / Friday, October 16, 2015 / Notices and Implications for Tourism and Recreation. Abstract: Under the Outer Continental Shelf (OCS) Lands Act (43 U.S.C. 1331– 1356), BOEM is responsible for conducting OCS lease sales and for monitoring and mitigating adverse impacts that might be associated with offshore energy development. The Energy Policy Act of 2005 (42 U.S.C. 13201 et seq.) authorizes the Secretary of the Interior to issue leases, easements, and rights-of-way for offshore renewable energy activities in Federal waters, such as offshore wind power development. In fulfilling these responsibilities, BOEM must take into consideration the impacts of OCS activities on recreational resources. While we have seen significant interest in offshore wind power development in recent years, the absence of baseline data for specific areas along the Atlantic coast and the absence of a broader regional study on tourism and wind power have made it difficult to identify and analyze the potential impacts of offshore wind development on coastal tourism and recreation. Additional information on these potential impacts will contribute to better planning and decision making for BOEM and other stakeholders, including other Federal agencies and State and local governments. Under a cooperative agreement awarded by the Department of the Interior, the University of Delaware will conduct a survey to assess the impact of offshore wind power projects on coastal recreation and tourism from Massachusetts to South Carolina. The survey will gauge public perceptions of offshore wind energy projects and how development could impact future recreation and visitation choices. BOEM will use this information, along with other economic and environmental information, in our offshore wind decision making process and marine spatial planning efforts. States and coastal communities will use the information for local coastal planning efforts. The data collection will be done by an Internet-based survey. We decided to use an internet-based approach in part to improve the images respondents are shown. The internet also allows us to easily accommodate different skip patterns and variation in wind projects shown to respondents. Frequency: One time. Description of Respondents: Individuals. TOTAL ANNUAL BURDEN HOURS Annual number of responses Activity Average completion time per person (minutes) Total annual burden hours General Population Sample Non-respondents & Dropouts ...................................................................................................... Respondents ................................................................................................................................ 88 500 2 15 3 125 Total ...................................................................................................................................... 588 17 128 Non-respondents & Dropouts ...................................................................................................... Respondents ................................................................................................................................ 3,778 1,600 3 15 189 400 Total ...................................................................................................................................... 5,378 18 589 Overall Total .................................................................................................................. 5,966 ........................ 717 srobinson on DSK5SPTVN1PROD with NOTICES Beachgoer-Only Sample Estimated Reporting and Recordkeeping Non-hour Cost Burden: We have not identified any non-hour cost burdens for this collection. Public Disclosure Statement: The PRA (44 U.S.C. 3501, et seq.) provides that an agency may not conduct or sponsor a collection of information unless it displays a currently valid OMB control number. Until OMB approves a collection of information, you are not obligated to respond. Comments: We invite comments concerning this information collection on: • Whether or not the collection of information is necessary, including whether or not the information will have practical utility; • The accuracy of our burden estimates; VerDate Sep<11>2014 18:54 Oct 15, 2015 Jkt 238001 • Ways to enhance the quality, utility, and clarity of the information to be collected; and • Ways to minimize the burden on respondents. To comply with the public consultation process, on July 1, 2014, BOEM published a Federal Register notice (79 FR 37348) announcing that we would submit this ICR to OMB for approval. This notice provided the required 60-day comment period. We received comments from one person. Comment: The location of residence (primary or secondary) should be given as a zip code. The zip code then determines the city, State, and distance to beach. There is no need for the respondent to guess what the distance is. Response: The distance question has been deleted. PO 00000 Frm 00056 Fmt 4703 Sfmt 4703 Comment: Offshore wind farms is a mature technology. A simple google image search shows a variety of real photos of wind farms off Denmark and the UK. Consider the use of real pictures in place of simulated offshore wind turbines. Response: We are particularly interested in the impact on beach use and tourism of wind projects at different distances offshore. It is not feasible to find pictures of existing projects at different distances while keeping other features constant (e.g., number of turbines, size of turbines, beach appearance, production quality for presentation on the Internet, etc.). The simulations allow us to ‘‘move wind projects’’ to different distances holding all other features constant. We also are interested in specific turbine sizes (larger than most of the existing ones) and turbine numbers (also larger than E:\FR\FM\16OCN1.SGM 16OCN1 srobinson on DSK5SPTVN1PROD with NOTICES Federal Register / Vol. 80, No. 200 / Friday, October 16, 2015 / Notices most existing projects). We also want to use beaches on the Atlantic coast for our shots. The coastlines in Europe where turbines exist are very different from the coastline in the United States. Comment: The geology of the Atlantic OCS indicates it is a natural gas province. For example in the 1970s, there was a natural gas discovery off the coast of Atlantic City, New Jersey. Natural gas production accidents do not yield oil and tar balls. A better hypothetical would be beach closures from hurricanes and nor’easters. The respondents should be familiar with these kinds of events. Response: These hypothetical beach closure questions have been dropped altogether. Comment: There is a question asking for personal annual income from working. There are many who have considerable income without working. Is it the intent not to capture this information? They have the time and the resources to be frequent ocean beach users. Response: The income question has been changed to read: ‘‘Which category is closest to your personal annual income before taxes?’’ Comment: The stratum sample sizes for the survey gives the appearance of being arbitrary. Consider that New Jersey & Delaware has a stratum of population of 8.8 million with a sample size of 200 participants. That works out to 22.73 participants per million. Compare to Pennsylvania 10.4 million population with 150 participants which is 14.42 participants per million. So citizens of Delaware are about 50% more likely to be selected as compared to Pennsylvania citizens. For full disclosure the University of Delaware is conducting the survey and I am a resident of Pennsylvania who is also a property owner in New Jersey. Further someone in Memphis, TN, is part of the survey universe, however someone living in Vermont is excluded. I have family members who live in Vermont and frequently visit the Jersey Shore. Response: Based on this comment and comments from others we have redesigned the sampling strategy to include two separate samples: A General Population Sample and an Oversample Sample. The former is a random draw from all individuals in the 20 states in our region (now including Vermont, New Hampshire, Maine, and Georgia) and the latter is a random draw from all beachgoers in the same states. Since both of these samples are randomly drawn, the representation is proportional to state populations. Comment: A good property of selected stratum is to have homogeneity within VerDate Sep<11>2014 18:54 Oct 15, 2015 Jkt 238001 the stratum (https://en.wikipedia.org/ wiki/Stratified_sampling). The use of New York state as a stratum fails this principal. There is Long Island which is the beach community. New York City a major city with near by ocean beaches. Up state New York has ocean beaches which are more distant. Does not make sense to put Hampton’s and Buffalo in the same stratum! Response: See comment to previous question. We no longer stratify by state. Comment: The total sample size for the participants of 1,400 is reasonable for obtaining summary insights. The data collection includes attributes, such as distance to the beach, education, number of children, employment status and income. If this survey has a goal of obtaining insights at this kind of granular level then the sample size will need to be adjusted to meet these goals. Response: Our budget limits us to the sample size we are using. Comment: The statistical survey design should follow Dillman’s Tailored Design Method (https:// www.amazon.com/Internet-Phone-MailMixed-Mode-Surveys/dp/1118456149/ ref=dp_ob_title_bk). This is the approach that is being used by BOEM in Alaska in the Arctic Communities Survey. Response: Our survey follows Dillman’s method fairly closely. It may depart in a few instances based on our own judgment calls, but it is largely based on Dillman. Comment: The commenter made the following recommendations: • Establish clear goals for the information collection, which then drives the design. • Use Dillman’s Tailored Design Method. • Create stratums that are approximately homogeneous. Suggested stratums: Near Ocean Beaches (SC coast, Outer Banks, Tidewater VA, Delmarva, Jersey shore, Long Island, Rhode Island, Cape Cod), Metro Areas (Washington, Baltimore, Philadelphia, New York City, Boston metro areas), Inland (Other parts of SC, NC, VA, MD, Central PA, NJ, CT, MA), Distant Areas (OH, WV, TN, KY, Western PA, Upstate NY, VT, NH). • Use zip codes for location of respondents. • Publish the raw data so it can be independently analyzed. Response: We addressed most of the recommendations in our responses. As noted, our survey was designed with a specific economic model in mind—a travel cost model; we use Dillman’s approach fairly closely, but not always; we no longer stratify by geography; and we will use zip codes for location of the PO 00000 Frm 00057 Fmt 4703 Sfmt 4703 62569 respondents. In addition, we plan to publish the raw data. Public Availability of Comments: Before including your address, phone number, email address, or other personal identifying information in your comment, you should be aware that your entire comment—including your personal identifying information—may be made publicly available at any time. While you can ask us in your comment to withhold your personal identifying information from public review, we cannot guarantee that we will be able to do so. Dated: October 1, 2015. Deanna Meyer-Pietruszka, Chief, Office of Policy, Regulations, and Analysis. [FR Doc. 2015–25971 Filed 10–15–15; 8:45 am] BILLING CODE 4310–MR–P INTERNATIONAL TRADE COMMISSION [Investigation No. 337–TA–956] Certain Recombinant Factor VIII Products; Commission Determination Not To Review an Initial Determination Granting an Unopposed Motion To Amend the Complaint and Notice of Investigation U.S. International Trade Commission. ACTION: Notice. AGENCY: Notice is hereby given that the U.S. International Trade Commission has determined not to review an initial determination (‘‘ID’’) (Order No. 10) granting an unopposed motion to add as complainants Baxalta, Inc. of Deerfield, Illinois; Baxalta US Inc. of Deerfield, Illinois; and Baxalta GmbH of Glattpark, Switzerland. FOR FURTHER INFORMATION CONTACT: Lucy Grace D. Noyola, Office of the General Counsel, U.S. International Trade Commission, 500 E Street SW., Washington, DC 20436, telephone 202– 205–3438. Copies of non-confidential documents filed in connection with this investigation are or will be available for inspection during official business hours (8:45 a.m. to 5:15 p.m.) in the Office of the Secretary, U.S. International Trade Commission, 500 E Street SW., Washington, DC 20436, telephone 202–205–2000. General information concerning the Commission may also be obtained by accessing its Internet server (https://www.usitc.gov). The public record for this investigation may be viewed on the Commission’s electronic docket (EDIS) at https:// edis.usitc.gov. Hearing-impaired SUMMARY: E:\FR\FM\16OCN1.SGM 16OCN1

Agencies

[Federal Register Volume 80, Number 200 (Friday, October 16, 2015)]
[Notices]
[Pages 62567-62569]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2015-25971]


-----------------------------------------------------------------------

DEPARTMENT OF THE INTERIOR

Bureau of Ocean Energy Management

[OMB Number 1010--New; MMAA104000]


Information Collection: Atlantic Offshore Wind Energy 
Development--Public Attitudes, Values, and Implications for Tourism and 
Recreation; Submitted for OMB Review; Comment Request

ACTION: 30-day notice.

-----------------------------------------------------------------------

SUMMARY: To comply with the Paperwork Reduction Act of 1995 (PRA), the 
Bureau of Ocean Energy Management (BOEM) is notifying the public that 
we have submitted an information collection request (ICR) to the Office 
of Management and Budget (OMB) for review and approval. The ICR 
concerns a new survey on the potential impacts of Atlantic offshore 
wind energy development on coastal tourism and recreation. This notice 
provides the public a second opportunity to comment on the paperwork 
burden of this collection.

DATES: Submit written comments by November 16, 2015.

ADDRESSES: Submit comments on this ICR to the Desk Officer for the 
Department of the Interior at OMB-OIRA at (202) 395-5806 (fax) or 
OIRA_submission@omb.eop.gov (email). Please provide a copy of your 
comments to the BOEM Information Collection Clearance Officer, Kye 
Mason, Bureau of Ocean Energy Management, 45600 Woodland Road, 
Sterling, Virginia 20166 (mail) or kye.mason@boem.gov (email). Please 
reference ICR 1010-New in your comment and include your name and return 
address.

FOR FURTHER INFORMATION CONTACT: Kye Mason, Office of Policy, 
Regulations, and Analysis at kye.mason@boem.gov (email) or (703) 787-
1025 (phone). You may review the ICR online at https://www.reginfo.gov. 
Follow the instructions to review Department of the Interior 
collections under review by OMB.

SUPPLEMENTARY INFORMATION: 
    OMB Control Number: 1010--New.
    Title: Atlantic Offshore Wind Energy Development: Public Attitudes, 
Values,

[[Page 62568]]

and Implications for Tourism and Recreation.
    Abstract: Under the Outer Continental Shelf (OCS) Lands Act (43 
U.S.C. 1331-1356), BOEM is responsible for conducting OCS lease sales 
and for monitoring and mitigating adverse impacts that might be 
associated with offshore energy development. The Energy Policy Act of 
2005 (42 U.S.C. 13201 et seq.) authorizes the Secretary of the Interior 
to issue leases, easements, and rights-of-way for offshore renewable 
energy activities in Federal waters, such as offshore wind power 
development. In fulfilling these responsibilities, BOEM must take into 
consideration the impacts of OCS activities on recreational resources. 
While we have seen significant interest in offshore wind power 
development in recent years, the absence of baseline data for specific 
areas along the Atlantic coast and the absence of a broader regional 
study on tourism and wind power have made it difficult to identify and 
analyze the potential impacts of offshore wind development on coastal 
tourism and recreation. Additional information on these potential 
impacts will contribute to better planning and decision making for BOEM 
and other stakeholders, including other Federal agencies and State and 
local governments.
    Under a cooperative agreement awarded by the Department of the 
Interior, the University of Delaware will conduct a survey to assess 
the impact of offshore wind power projects on coastal recreation and 
tourism from Massachusetts to South Carolina. The survey will gauge 
public perceptions of offshore wind energy projects and how development 
could impact future recreation and visitation choices. BOEM will use 
this information, along with other economic and environmental 
information, in our offshore wind decision making process and marine 
spatial planning efforts. States and coastal communities will use the 
information for local coastal planning efforts.
    The data collection will be done by an Internet-based survey. We 
decided to use an internet-based approach in part to improve the images 
respondents are shown. The internet also allows us to easily 
accommodate different skip patterns and variation in wind projects 
shown to respondents.
    Frequency: One time.
    Description of Respondents: Individuals.

                                            Total Annual Burden Hours
----------------------------------------------------------------------------------------------------------------
                                                                                      Average
                                                                                    completion
                            Activity                               Annual number     time per      Total annual
                                                                   of responses       person       burden hours
                                                                                     (minutes)
----------------------------------------------------------------------------------------------------------------
                                            General Population Sample
----------------------------------------------------------------------------------------------------------------
Non-respondents & Dropouts......................................              88               2               3
Respondents.....................................................             500              15             125
                                                                 -----------------------------------------------
    Total.......................................................             588              17             128
----------------------------------------------------------------------------------------------------------------
                                              Beachgoer-Only Sample
----------------------------------------------------------------------------------------------------------------
Non-respondents & Dropouts......................................           3,778               3             189
Respondents.....................................................           1,600              15             400
                                                                 -----------------------------------------------
    Total.......................................................           5,378              18             589
                                                                 -----------------------------------------------
        Overall Total...........................................           5,966  ..............             717
----------------------------------------------------------------------------------------------------------------

    Estimated Reporting and Recordkeeping Non-hour Cost Burden: We have 
not identified any non-hour cost burdens for this collection.
    Public Disclosure Statement: The PRA (44 U.S.C. 3501, et seq.) 
provides that an agency may not conduct or sponsor a collection of 
information unless it displays a currently valid OMB control number. 
Until OMB approves a collection of information, you are not obligated 
to respond.
    Comments: We invite comments concerning this information collection 
on:
     Whether or not the collection of information is necessary, 
including whether or not the information will have practical utility;
     The accuracy of our burden estimates;
     Ways to enhance the quality, utility, and clarity of the 
information to be collected; and
     Ways to minimize the burden on respondents.
    To comply with the public consultation process, on July 1, 2014, 
BOEM published a Federal Register notice (79 FR 37348) announcing that 
we would submit this ICR to OMB for approval. This notice provided the 
required 60-day comment period. We received comments from one person.
    Comment: The location of residence (primary or secondary) should be 
given as a zip code. The zip code then determines the city, State, and 
distance to beach. There is no need for the respondent to guess what 
the distance is.
    Response: The distance question has been deleted.
    Comment: Offshore wind farms is a mature technology. A simple 
google image search shows a variety of real photos of wind farms off 
Denmark and the UK. Consider the use of real pictures in place of 
simulated offshore wind turbines.
    Response: We are particularly interested in the impact on beach use 
and tourism of wind projects at different distances offshore. It is not 
feasible to find pictures of existing projects at different distances 
while keeping other features constant (e.g., number of turbines, size 
of turbines, beach appearance, production quality for presentation on 
the Internet, etc.). The simulations allow us to ``move wind projects'' 
to different distances holding all other features constant. We also are 
interested in specific turbine sizes (larger than most of the existing 
ones) and turbine numbers (also larger than

[[Page 62569]]

most existing projects). We also want to use beaches on the Atlantic 
coast for our shots. The coastlines in Europe where turbines exist are 
very different from the coastline in the United States.
    Comment: The geology of the Atlantic OCS indicates it is a natural 
gas province. For example in the 1970s, there was a natural gas 
discovery off the coast of Atlantic City, New Jersey. Natural gas 
production accidents do not yield oil and tar balls. A better 
hypothetical would be beach closures from hurricanes and nor'easters. 
The respondents should be familiar with these kinds of events.
    Response: These hypothetical beach closure questions have been 
dropped altogether.
    Comment: There is a question asking for personal annual income from 
working. There are many who have considerable income without working. 
Is it the intent not to capture this information? They have the time 
and the resources to be frequent ocean beach users.
    Response: The income question has been changed to read: ``Which 
category is closest to your personal annual income before taxes?''
    Comment: The stratum sample sizes for the survey gives the 
appearance of being arbitrary. Consider that New Jersey & Delaware has 
a stratum of population of 8.8 million with a sample size of 200 
participants. That works out to 22.73 participants per million. Compare 
to Pennsylvania 10.4 million population with 150 participants which is 
14.42 participants per million. So citizens of Delaware are about 50% 
more likely to be selected as compared to Pennsylvania citizens. For 
full disclosure the University of Delaware is conducting the survey and 
I am a resident of Pennsylvania who is also a property owner in New 
Jersey. Further someone in Memphis, TN, is part of the survey universe, 
however someone living in Vermont is excluded. I have family members 
who live in Vermont and frequently visit the Jersey Shore.
    Response: Based on this comment and comments from others we have 
redesigned the sampling strategy to include two separate samples: A 
General Population Sample and an Oversample Sample. The former is a 
random draw from all individuals in the 20 states in our region (now 
including Vermont, New Hampshire, Maine, and Georgia) and the latter is 
a random draw from all beachgoers in the same states. Since both of 
these samples are randomly drawn, the representation is proportional to 
state populations.
    Comment: A good property of selected stratum is to have homogeneity 
within the stratum (https://en.wikipedia.org/wiki/Stratified_sampling). 
The use of New York state as a stratum fails this principal. There is 
Long Island which is the beach community. New York City a major city 
with near by ocean beaches. Up state New York has ocean beaches which 
are more distant. Does not make sense to put Hampton's and Buffalo in 
the same stratum!
    Response: See comment to previous question. We no longer stratify 
by state.
    Comment: The total sample size for the participants of 1,400 is 
reasonable for obtaining summary insights. The data collection includes 
attributes, such as distance to the beach, education, number of 
children, employment status and income. If this survey has a goal of 
obtaining insights at this kind of granular level then the sample size 
will need to be adjusted to meet these goals.
    Response: Our budget limits us to the sample size we are using.
    Comment: The statistical survey design should follow Dillman's 
Tailored Design Method (https://www.amazon.com/Internet-Phone-Mail-Mixed-Mode-Surveys/dp/1118456149/ref=dp_ob_title_bk). This is the 
approach that is being used by BOEM in Alaska in the Arctic Communities 
Survey.
    Response: Our survey follows Dillman's method fairly closely. It 
may depart in a few instances based on our own judgment calls, but it 
is largely based on Dillman.
    Comment: The commenter made the following recommendations:
     Establish clear goals for the information collection, 
which then drives the design.
     Use Dillman's Tailored Design Method.
     Create stratums that are approximately homogeneous. 
Suggested stratums: Near Ocean Beaches (SC coast, Outer Banks, 
Tidewater VA, Delmarva, Jersey shore, Long Island, Rhode Island, Cape 
Cod), Metro Areas (Washington, Baltimore, Philadelphia, New York City, 
Boston metro areas), Inland (Other parts of SC, NC, VA, MD, Central PA, 
NJ, CT, MA), Distant Areas (OH, WV, TN, KY, Western PA, Upstate NY, VT, 
NH).
     Use zip codes for location of respondents.
     Publish the raw data so it can be independently analyzed.
    Response: We addressed most of the recommendations in our 
responses. As noted, our survey was designed with a specific economic 
model in mind--a travel cost model; we use Dillman's approach fairly 
closely, but not always; we no longer stratify by geography; and we 
will use zip codes for location of the respondents. In addition, we 
plan to publish the raw data.
    Public Availability of Comments: Before including your address, 
phone number, email address, or other personal identifying information 
in your comment, you should be aware that your entire comment--
including your personal identifying information--may be made publicly 
available at any time. While you can ask us in your comment to withhold 
your personal identifying information from public review, we cannot 
guarantee that we will be able to do so.

    Dated: October 1, 2015.
Deanna Meyer-Pietruszka,
Chief, Office of Policy, Regulations, and Analysis.
[FR Doc. 2015-25971 Filed 10-15-15; 8:45 am]
BILLING CODE 4310-MR-P
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.