NCCOS Assessment: Quantitative Assessment of Spatially-Explicit Social Values Relative to Wind Energy Areas
National Centers for Coastal Ocean Science
Data Set
(DS)
| ID: 57803
| Published / External
Created: 2019-09-27
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Last Modified: 2022-09-11
Project (PRJ) | ID: 57802
ID: 57803
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | NCCOS Assessment: Quantitative Assessment of Spatially-Explicit Social Values Relative to Wind Energy Areas |
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Short Name | NCCOS Dataset: BOEM Social Values |
* Status | Completed |
Creation Date | 2019 |
Revision Date | |
• Publication Date | 2019 |
* » Abstract |
The tabular dataset is a product of household survey conducted in 2018. The sampling geography was a predefined coastal region of North and South Carolina adjacent to offshore wind development areas. The subject of the data collection was resident perceptions of local offshore wind energy development. Variables relate to place attachment, recreational activities, social value of favorite places, awareness, perceived impact to important quality of life items, support level, past and future action, and demographic and household characteristics. There are two formats of the tabular dataset provided: csv and STATA. (2019-07-19) The spatial/GIS dataset is a product of household survey conducted in 2018. The sampling geography was a predefined coastal region of North and South Carolina adjacent to offshore wind development areas. The subject of the data collection was resident perceptions of local offshore wind energy development. The spatial/GIS dataset is associated with a mapping question, Question 6 of the survey instrument. Question 6 asked respondents to identify three Favorite Places on a map of the study region, as well as to identify associated social values for each location. Locations identified were assigned to 10 square km cells during the survey coding process for spatial analysis and to visualize the spatial distribution of Favorite Places. Shapefiles are provided in the dataset. (OMB CONTROL NUMBER: 0648-0744) (2019-07-19) |
* Purpose |
The Bureau of Ocean Energy Managementâs (BOEMâs) Office of Renewable Energy Programs oversees development of offshore renewable energy projects on the Outer Continental Shelf (OCS). BOEM identified wind energy areas (WEAs) on the OCS of North Carolina, and was in the process of locating WEAs in South Carolina. To inform management, NCCOS assessed the values and activities of coastal residents to characterize and monitor the complex interactions between society, the environment, and energy development projects. Statistical modeling suggests that low awareness of local offshore wind energy development and high uncertainty of impacts from such development are predictive of support. While residents from households located closer to the shoreline are more likely to be opposed to local offshore wind energy development, more residents were supportive than opposed in this region of the coastal Carolinas. Unexpectedly, daytime views of the ocean does not predict support level. Perceived importance of marine mammal and sea turtle habitat drives opposition, while electricity affordability drives support for local offshore wind energy development. Results also suggest that residents living further inland from the shoreline are less likely to intend future action related to offshore wind energy development than residents living closer to the shoreline. Residents who are opposed to local development efforts are most likely to intend future wind action, while those reporting a neutral position are least likely. However, the influence of support level on intention to act is affected by place attachment. Residents with a greater place attachment are more likely to intend future action, especially if they are opposed. Finally, more past action related to the potential for offshore wind energy development is a predictor of future action, but those who strongly support local efforts are less likely to intend future wind action. Outside of official public engagement forums, preferences about offshore wind energy development generally remain unknown for members of the public. Few studies focus on the importance of environmental values and place-based attachment in mediating community support for, or opposition to, offshore wind energy development. This research offers an approach for understanding what is important to communities, and how differing values and perceptions across communities can influence local receptiveness to proposed development. This study provides BOEM and NOAA with an enhanced understanding of the relationship between the use of marine space, the type and intensity of place-based attachments, and the likelihood of local engagement in social action to support or oppose renewable energy projects. |
Notes | |
Other Citation Details | |
• Supplemental Information |
Partners: ⢠US DOI; Bureau of Ocean Energy Management (BOEM); Office of Renewable Energy Programs (OREP) ⢠US DOC; NOAA; NOS; Office for Coastal Management (OCM) ⢠University of North Carolina - Chapel Hill (UNC-CH); HW Odum Institute for Research in Social Science Funding: ⢠US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS), NCCOS Project #299, âAssessing Social Values Relative to Offshore Wind Energy Areas in North and South Carolinaâ ⢠US DOI; Bureau of Ocean Energy Management (BOEM), OCS Study #2019-054, âAssessment of Spatially-Explicit Social Values Relative to Offshore Wind Energy Areas in the Carolinasâ |
DOI (Digital Object Identifier) | https://doi.org/10.15139/S3/VOX8JN |
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Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS > RESOURCE DEVELOPMENT SITE > WIND FARM |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > HUMAN DIMENSIONS > ECONOMIC RESOURCES > ENERGY PRODUCTION/USE > WIND ENERGY PRODUCTION/USE |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > HUMAN DIMENSIONS > SOCIOECONOMICS |
NCCOS Keywords | NCCOS Research Data Type > Field Observation |
NCCOS Keywords | NCCOS Research Priority > Marine Spatial Ecology |
NCCOS Keywords | NCCOS Research Priority > Social Science |
NCCOS Keywords | NCCOS Research Topic > Assessing Human Use |
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* Spatial Keywords
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Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NORTH CAROLINA |
Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > SOUTH CAROLINA |
Global Change Master Directory (GCMD) Location Keywords | OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN |
NCCOS Keywords | NCCOS Research Location > Region > Atlantic Ocean |
NCCOS Keywords | NCCOS Research Location > U.S. States and Territories > North Carolina |
NCCOS Keywords | NCCOS Research Location > U.S. States and Territories > South Carolina |
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• » Organization | National Centers for Coastal Ocean Science |
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• » City | Silver Spring |
• » State/Province | MD |
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• Data Set Type | CSV Files |
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* » Support Role | Data Steward |
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* » Date Effective From | 2019 |
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Position | NCCOS Scientific Data Coordinator |
Email Address | NCCOS.data@noaa.gov |
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* » Support Role | Distributor |
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* » Date Effective From | 2019 |
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Organization | National Centers for Coastal Ocean Science (NCCOS) |
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1305 East West Highway, Rm 8110 Silver Spring, MD 20910 |
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URL | http://coastalscience.noaa.gov/ |
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Distributor: ⢠National Centers for Coastal Ocean Science (NCCOS), NCCOS.data@noaa.gov, 2019 to Present ⢠University of Chapel Hill (UNC) Odum Institute for Research in Social Science Dataverse, 2019 to Present |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2022 |
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Position | NCCOS Scientific Data Coordinator |
Email Address | NCCOS.data@noaa.gov |
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* » Date Effective From | 2015 |
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Position | NCCOS Scientific Data Coordinator |
Email Address | NCCOS.data@noaa.gov |
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Point of Contact: ⢠Theresa Goedeke, theresa.goedeke@noaa.gov, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS), 2015 to present ⢠NCCOS Data Manager, nccos.data@noaa.gov, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS), 2019 to present |
* » Support Role | Principal Investigator |
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* » Date Effective From | 2015 |
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Position | NCCOS Scientific Data Coordinator |
Email Address | NCCOS.data@noaa.gov |
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Principal Investigator: âÃÂâ Theresa Goedeke, theresa.goedeke@noaa.gov, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS), 2015 to present Additional Principal Investigators: âÃÂâ Sarah Ball Gonyo, sarah.gonyo@noaa.gov, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) Collaborators: ⢠Jarrod Loerzel, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) and CSS, Inc ⢠Amy Freitag, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) and CSS, Inc ⢠Chloe S Fleming, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) and CSS, Inc ⢠Chris Ellis, US DOC; NOAA; NOS; Office for Coastal Management ⢠Teresa Edwards, University of North Carolina - Chapel Hill (UNC-CH); HW Odum Institute for Research in Social Science |
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* » W° Bound | -79.4 |
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* » E° Bound | -77.3 |
* » N° Bound | 34.8 |
* » S° Bound | 33.4 |
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* » Time Frame Type | Range |
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* » Start | 2015-10 |
End | 2019-08 |
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* » Security Class | Unclassified |
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Download from website |
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Distribution Information
Start Date | 2019-09-20 |
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End Date | Present |
» Download URL | https://doi.org/10.15139/S3/VOX8JN |
Distributor | National Centers for Coastal Ocean Science (NCCOS) (2019 - Present) |
File Name | BOEM Social Values |
Description |
National Centers for Coastal Ocean Science. 2019. Quantitative Assessment of Spatially-Explicit Social Values Relative to Wind Energy Areas. UNC Dataverse. https://doi.org/10.15139/S3/VOX8JN |
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URL | https://cdn.coastalscience.noaa.gov/csmedia/2017/09/NCCOS-with-tag-to-side-wht-bld.png |
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Name | Browse Graphic: NCCOS |
URL Type | Browse Graphic |
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Browse Graphic: NCCOS |
URL | https://coastalscience.noaa.gov/project/assessing-social-values-offshore-wind-energy-areas-north-south-carolina/ |
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Name | NCCOS Project Webpage: Assessing Social Values Relative to Offshore Wind Energy Areas in North & South Carolina |
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NCCOS Project Webpage: Assessing Social Values Relative to Offshore Wind Energy Areas in North & South Carolina |
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For details of data quality control methods, see Lineage Sources. All users should independently analyze the datasets according to their own needs and standards to determine data usability. |
Data Management
» Have Resources for Management of these Data Been Identified? | No |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | Unknown |
» Do these Data Comply with the Data Access Directive? | Yes |
» Is Access to the Data Limited Based on an Approved Waiver? | No |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | Six months |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed | |
» Actual or Planned Long-Term Data Archive Location | Other |
» If World Data Center or Other, Specify | UNC Dataverse |
» Approximate Delay Between Data Collection and Archiving | Six months |
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Sources
Citation Title | Goedeke, Theresa L., Sarah Ball Gonyo, Chloe S. Fleming, Jarrod L. Loerzel, Amy Freitag, and Chris Ellis. 2019. Resident Perceptions of Local Offshore Wind Energy Development: Support Level and Intended Action in Coastal North and South Carolina. Sterling (VA): US Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2019-054. 100 p. |
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Contact Role Type | Publisher |
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Contact Name | Goedeke, Theresa L. |
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Citation URL | https://espis.boem.gov/final%20reports/BOEM_2019-054.PDF |
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OCS Study BOEM 2019-054 |
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Process Step Number | 1 |
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» Description |
The Bureau of Ocean Energy Management (BOEM) oversees the development of renewable energy resources on the Outer Continental Shelf. In response to BOEMâÂÂs interest, we studied the perceptions of coastal residents in North and South Carolina regarding offshore wind energy development in their area. We documented the importance of local context by studying the influence of residentsâ attachment to place, their perception of impacts, and the role of distance (residents to shore) on their support or opposition to proposed local offshore wind energy development. We identified factors predictive of residentsâ 1) support level for offshore wind energy and 2) intention to engage in civic action to advance their position. This study focused on a portion of the Carolina coast, spanning the coastal region of southern North Carolina and northern South Carolina, where BOEM was at varying stages of proposing offshore areas for wind energy development. The study region included residents within 20 miles of the coast in Brunswick, Columbus, Pender, and New Hanover Counties in North Carolina, and Horry County in South Carolina. Researchers conducted a randomly sampled household mail-based survey (2018) in the coastal region described above. Residents 18 years of age and older were surveyed on their level of support for offshore wind development, past and future action, attachment to place, recreational activities, favorite places, and awareness level. They were also asked about the impacts such development could have on important quality of life items. |
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Source | Goedeke, Theresa L., Sarah Ball Gonyo, Chloe S. Fleming, Jarrod L. Loerzel, Amy Freitag, and Chris Ellis. 2019. Resident Perceptions of Local Offshore Wind Energy Development: Support Level and Intended Action in Coastal North and South Carolina. Sterling (VA): US Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2019-054. 100 p. |
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Catalog Details
Catalog Item ID | 57803 |
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Metadata Record Created By | Jessica Morgan |
Metadata Record Created | 2019-09-27 14:11+0000 |
Metadata Record Last Modified By | Jessica Morgan |
» Metadata Record Last Modified | 2022-09-11 23:10+0000 |
Metadata Record Published | 2022-09-11 |
Owner Org | NCCOS |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2022-09-11 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-09-11 |
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