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Susitna-Watana Hydroelectric Project Document
ARLIS Uniform Cover Page
Title:
Social conditions and public goods and services study, Study plan Section
15.6 : Final study plan SuWa 200
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Alaska Energy Authority
AEA-identified category, if specified:
Final study plan
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Series (ARLIS-assigned report number):
Susitna-Watana Hydroelectric Project document number 200
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Published by:
[Anchorage : Alaska Energy Authority, 2013]
Date published:
July 2013
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Date or date range of report:
Volume and/or Part numbers:
Study plan Section 15.6
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Pagination:
14 p.
Related work(s):
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Notes:
All reports in the Susitna-Watana Hydroelectric Project Document series include an ARLIS-
produced cover page and an ARLIS-assigned number for uniformity and citability. All reports
are posted online at http://www.arlis.org/resources/susitna-watana/
Susitna-Watana Hydroelectric Project
(FERC No. 14241)
Social Conditions and Public Goods and Services
Study
Study Plan Section 15.6
Final Study Plan
Alaska Energy Authority
July 2013
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FERC Project No. 14241 Page 15.6-1 July 2013
15.6. Social Conditions and Public Goods and Services Study
On December 14, 2012, Alaska Energy Authority (AEA) filed with the Federal Energy
Regulatory Commission (FERC or Commission) its Revised Study Plan (RSP), which included
58 individual study plans (AEA 2012). Section 15.6 of the RSP described the Social Conditions
and Public Goods and Services Study. This study focuses on assessing potential changes in
population, housing, public goods and services, and other quality of life factors resulting from
the construction and operation of the proposed Project and potential changes in regional
economic conditions resulting from the non-power effects of the Project. RSP 15.6 provided
goals, objectives, and proposed methods for data collection.
On February 1, 2013, FERC staff issued its study plan determination (February 1 SPD) for 44 of
the 58 studies, approving 31 studies as filed and 13 with modifications. RSP Section 15.6 was
one of the 31 studies approved with no modifications. As such, in finalizing and issuing Final
Study Plan Section 15.6, AEA has made no modifications to this study from its Revised Study
Plan.
15.6.1. General Description of the Proposed Study
15.6.1.1. Study Goals and Objectives
The study goal for the social conditions and public goods and services section of the
socioeconomics study plan is to assess potential changes in population, housing, public goods
and services, and other quality of life factors resulting from the construction and operation of the
proposed Project and potential changes in regional economic conditions resulting from the non-
power effects of the Project. Coordination with the other social resource analyses (e.g.,
recreation (Section 12.5), transportation (Section 15.9), and subsistence (Section 14.5)) from the
outset is an essential component of this study plan.
The objectives of the study are listed below.
• Describe, using text and appropriate tables and graphics, existing socioeconomic
conditions within the study area.
• Evaluate the effects of on-site manpower requirements, including the number of
construction personnel who currently reside within the study area, who would commute
to the site from outside the study area, or who would relocate temporarily within the
study area.
• Estimate total worker payroll and material purchases during construction and operation.
• Evaluate the impact of any substantial immigration of people on governmental facilities
and services, and describe plans to address the impact on local infrastructure.
• Determine whether existing housing within the study area is sufficient to meet the needs
of the additional population.
• Describe the number and types of residences and businesses that might be displaced by
the Project access road and transmission corridors.
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• Describe, based on other studies, what bio-physical attributes of the Susitna River system
may change as a result of the Project and what those changes might mean to commercial
opportunities related to fishing, logging, agriculture, mining, and recreational activities,
recreation and subsistence use values, quality of life, community use patterns, non-use
environmental values, and social conditions of the area.
15.6.2. Existing Information and Need for Additional Information
A data gap analysis report of socioeconomics, recreation, air quality, and transportation was
prepared in August 2011 (HDR 2011). That report along with AEA’s 2011 PAD provides
substantial information about the Project and socioeconomic resources in the Project vicinity.
Information provided for communities within the study area by the U.S. Census Bureau, the
Alaska Department of Labor and Workforce Development (ADLWD), the Alaska Department of
Commerce, Community and Economic Development (DCCED), MSB, Denali Borough, and
other secondary sources includes the following:
• Current population and population density statistics
• Per capita income
• Number and composition of workforce (e.g., manufacturing; transportation and public
utilities; wholesale trade; retail trade; finance, insurance, and real estate; and services)
• Current unemployment rate (latest year of record)
• Number of units and vacancy rates for temporary housing (e.g., apartment rentals,
hotels/motels, and campgrounds)
• Location and availability of local government public services (e.g., police, fire protection,
medical services, utilities, and schools)
• Local tax revenues and sources of funding (e.g., personal property, sales, hotel/motel
occupancy, etc.)
Information that will be needed to complete the analysis of the direct effects of the Project
includes the following:
• Final location of the Project components
• Duration and schedule of construction phase
• Cost of materials and supplies during construction
• Approximate cost of materials and supplies during construction that will be spent locally,
versus non-locally
• Size of total workforce, including how many workers will be hired locally versus non-
locally (data from the ADLWD on employment by occupation will be used to estimate
the percent of out-of-state workers)
• Total size of construction workforce by month, or peak number of workers and when that
peak would occur
• Summary of construction workforce by craft or discipline
• Total construction wages or average construction pay, including benefits
• Total number of workers required for operation and maintenance of the Project, and total
wages including benefits
• Approximate cost of materials, supplies, and services that will be purchased locally
versus non-locally during operations
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• For trucks that would be used, estimated number and size, number of trips per day and
week to and from the Project site, travel route, and capacity of the roads on which the
trucks will be traveling
• The number of residences or businesses that could be displaced by construction of the
Project
• Number of acres of agricultural/pasture land or timberland that will be removed from
production
Information that will be needed to complete the analysis of the indirect effects of the Project is
described in Section Error! Reference source not found..
15.6.3. Study Area
Based on the current Project description, the principal study area for the analysis of impacts on
social conditions and public goods and services includes communities in the Denali Borough and
MSB that are located in relatively close proximity to the proposed Project facilities, including the
hydroelectric facility and access road and transmission line corridors. Most of the effects specific
to these communities during the construction phase are related to the transportation and supply of
construction materials, the number of construction workers that would work on the Project and
their potential impact on population, public services and infrastructure, and temporary housing
during construction. Within the Denali Borough, the principal community under consideration is
Cantwell, as this is the closest community to the proposed Project. In the MSB, the closest
communities are Trapper Creek, Chase, Talkeetna, and the “railroad community” located north
of Chase.
A wide range of occupations is needed to construct and operate a large hydroelectric facility, and
it is likely that workers in many regions of Alaska would benefit from the additional employment
opportunities created by the Project. However, the largest concentration of workers with the
required occupational skills is in highly populated Southcentral Alaska. The concentration of
major engineering, construction, and manufacturing firms in the MOA makes it probable that
this city would be most affected by construction period expenditures.
Transportation effects during the construction phase of the Project would occur in ports of entry
for freight and along the subsequent transportation routes for supplies, equipment, and labor.
Boroughs and census areas through which potential overland transportation routes pass include
the MOA, FNSB, Valdez-Cordova Census Area, KPB, Yukon-Koyukuk Census Area, MSB, and
Denali Borough.
During and after Project construction, there may be additional requirements for law enforcement
and health and human services. The Alaska Department of Public Safety (ADPS) provides law
enforcement in the unorganized areas of the state (census areas) and in areas of municipalities
without police powers. State and Alaska Native programs provide most health and human
services in Alaska.
Non-power effects of Project operations and features (i.e., reservoir and access roads) on local or
regional economies, including changes in commercial opportunities related to fishing, hunting,
boating, wildlife viewing, mountaineering, and other recreation, are likely to be concentrated in
those communities in the Denali Borough and MSB that are located in relatively close proximity
to the Project.
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15.6.4. Study Methods
The study methods discussed below are consistent with socioeconomic analyses completed
during the licensing proceedings for other hydroelectric projects (Public Utility District No. 1 of
Chelan County 1999; PacificCorp 2004; Sacramento Municipal Utility District 2005).
15.6.4.1. Data Collection and Analysis
The proposed Project would not start operations until 2023 under the current schedule. The
Project is anticipated to operate for more than 50 years, similar to other large hydroelectric
developments around the world. The Project’s socioeconomic effects will be estimated by
comparing future socioeconomic conditions with and without the Project, considering the long
time frame for operation of the Project.
The forecast of socioeconomic conditions with and without the Project will be based in part on
estimates derived from the REMI model described in the Regional Economic Evaluation Study
Plan (Section 15.5.4.1) as well as the direct effects associated with the Project. Subtracting the
direct effects from the REMI model results will provide an estimate of the indirect effects of the
Project. While the REMI model provides a wide range of output variables, the primary variables
of interest in the socioeconomic impact analysis for the proposed Project are population,
employment, labor income, output (sales), and housing. The REMI model extends economic and
demographic forecasts through 2060, which is consistent with the temporal scope of the
socioeconomic impact analysis. The REMI model can provide projections for all of the boroughs
and census areas within the Railbelt, including the MOA, FNSB, KPB, MSB, and Denali
Borough. The current REMI model also includes the Yukon-Koyukuk Census Area and Valdez-
Cordova Census Area.
The forecast analysis performed by the REMI model will be guided by assumptions about
reasonably foreseeable future actions that would have an important and measurable effect on
Alaska’s economy. The forecast for the MSB will be calibrated to be similar to the population
forecast developed by the Borough and the Alaska Department of Transportation and Public
Facilities. Additional information about the development of the REMI model assumptions is
provided in the Regional Economic Evaluation Study Plan.
As the Project design is further refined, specific requirements for the types of construction
specialties will be identified and compared with current expertise of regional construction
companies to see which opportunities can be filled by Alaska firms. This evaluation will improve
the model estimates of future economic activity and provide recommendations to increase the
percentage of these opportunities captured by Alaska businesses.
The effect of potential immigration during Project construction and operations on municipal and
state services, such as police, fire protection, medical services, and schools, will be assessed. For
schools, the effect of the influx of additional school-age children on teacher-pupil ratios will be
determined. In an attempt to identify changes to quality of life and overall natural resource uses
trends and potential changes resulting from the Project, some survey questions will be added to
the public survey proposed in the Recreation Resources and Aesthetic Study Plans (Section 12.5
and 12.6). The survey questions will be oriented toward identifying how the Susitna River
corridor and upper basin is used and valued by local residents and to identify the importance of
the various bio-physical aspects important to area residents. Once the types of Project-induced
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changes in riverine and basin resources are known, a further analysis will be undertaken to
identify how such changes might alter the resources used and valued by the area residents. The
results of the Project effects on subsistence, recreation, and transportation can be used to further
evaluate the overall effects on the residents of the region.
A fiscal impact analysis will be conducted to evaluate incremental local government
expenditures in relation to incremental local government revenues that would result from
construction and operation of the Project. Incremental expenditures could include, but would not
be limited to, additional school operating, road maintenance and repair, public safety, and public
utility costs. Incremental revenues could include, but would not be limited to, additional property
tax and hotel/motel occupancy tax revenues.
Transportation of construction equipment and materials through communities on the
transportation routes to and from the Project could result in increased rail traffic and road traffic
volumes, with associated noise and congestion effects. Such conditions might require additional
police and emergency response calls for traffic and other incidents. These impacts will be
assessed based on the results of the Transportation Resources study. For example, estimates of
changes in vehicle miles traveled can be converted into estimates of traffic incidents and injuries,
which could place additional demands on police, emergency response, and medical services.
The economic impact of the Project on local tourism establishments (e.g., river sport fishing,
whitewater boating, lodges) and the regional economy will be estimated using the results of the
Recreation Resources and Aesthetic Studies (Section 12.5 and 12.6). Calculations will be based
on information obtained from the recreation survey, including the estimated recreation-related
expenditures per recreational day or trip and changes in the number of days or trips per year. The
regional economic impact of changes in subsistence-related expenditures due to the proposed
Project will be estimated using the results of the Subsistence Study. Approximate cash expenses
to generate each pound of subsistence harvest will be based on published information.
The Project, including access roads, could affect surrounding property uses and values. These
effects will be described by identifying the properties that are in or in close proximity to the
Project area, including the access road(s) that will be built; determining the degree to which the
use of the properties would change as a result of the Project; and estimating, to the extent
practicable, the extent that property values may change as a result of the change in use.
If Project features (i.e., reservoir and access roads) stimulate residential development, spending
by new residents in the local economy will generate new economic activity, including additional
jobs and labor income. Interviews will be conducted with regional businesses to identify
potential opportunities for residential development and estimate the economic impacts should
this development occur.
To the extent that Project construction and operations will change the level of production of
commercial farming, grazing, logging, mining, and fishing operations, these effects will be
approximated by the change in production multiplied by the current price of the resource in
question. Information on the quantity and value of market-based natural resources is available
through state and federal resource management agencies.
Changes that result in increases or decreases in economic activity such as production of
commercial resource extraction (e.g., commercial fishing production), or changes in spending for
recreational goods and services will become inputs to the REMI model to calculate the regional
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economic impacts. The annual incremental change (i.e., from the Without-Project condition) in
dollars for each activity with the Project will be estimated and then added or subtracted from the
Without-Project condition to arrive at the Project condition. The analysis will also identify those
effects that are short-term or temporary in nature, which will likely be associated with
construction activities, and those that are long-term and primarily associated with operations of
the Project.
The study will address changes in recreation by using a Random Utility Model (RUM)
combining existing data, recreation preference functions from the published literature, and new
data collected by the Recreation and Aesthetics Study (see Section 12.5 and 12.6). These data
and preference functions will be applied to the affected recreation population using 2010 U.S.
Census population data and existing recreation participation rates. Once the existing preference
functions are identified, they will be used to represent the demand for various recreation sites via
specification of demand functions which place preference functions in the context of recreation
opportunities. Based on population data and participation rates, these demand functions will be
used to predict visitation across both the study area and substitute recreation sites when site
characteristics are different than under Without-Project conditions. By evaluating differences in
outcomes across Without-Project and With-Project behavioral simulations, the study will
identify changes in site pressure and aggregated economic welfare (i.e., dollar-valued consumer
satisfaction).
The approach for undertaking this analysis will use and be consistent with EPA’s Guidelines for
Preparing Economic Analysis (USEPA 2010). In addition, they will also follow the process for
developing a systemic, socioeconomic and behavioral model of recreation demand as described
in Bingham and Kinnell (2012). Bingham and Kinnell (2012) present a site-specific, dam
management application of Deason, Dickie, Kinnell, and Shabman’s 2010 Integrated Planning
Framework. This work will be closely coordinated with the Recreation (Section 12.5) and
Aesthetics (Section 12.6) Studies which will provide current estimates of recreation demand and
collect much of the information that will be needed for the analysis.
Task 1. Identify recreation outcomes that are likely to occur under With-Project
conditions.
In this task, the team will rely on the Recreation and Aesthetics Studies (Sections
12.5 and 12.6) to identify recreation outcomes that are likely to occur under With-
Project conditions. At this stage we envision, the primary recreation activities to
be considered include fishing, boating, hunting, and snow machining. Factors to
be considered include all those features that affect the quality of a recreation trip,
such as changes in access, solitude, crowding, harvest rates, and safety for snow
machining.
Task 2. Assess currently available recreation data.
In this task, the team will review the information collected by the Recreation
Resources and Aesthetics Studies (Sections 12.5 and 12.6) and collect other data
as needed for the analysis. For example, the analysis for recreational fishing will
evaluate the relevant angling population using population data from the 2010
Census Bureau and recreation participation rates from Alaska’s Statewide
Comprehensive Outdoor Recreation Plan (SCORP) (AKDNR 2009). The team
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will also incorporate the findings of the Recreation Resources Study (Section
12.5) to estimate the affected population.
Task 3. Identify and apply existing recreation utility functions from the literature.
In this task, the team will identify existing recreation utility functions from the
literature. Site-calibrated transfers of an existing random utility model (RUM)
study will be used to capture important behavioral responses (i.e., changes in trip-
taking behavior as a result of changes to a fishery). The accuracy of this
methodology is limited only by the analyst’s ability to calibrate an already-
estimated preference function to a different population using appropriate
economic methodologies (Smith, van Houtven, and Pattanayak 2002).
For example, a fishing site has numerous attributes including, but not limited to,
the cost/time of reaching the site, catch rates, availability of boat ramps and so
forth. The distance/travel cost for recreators to reach all relevant sites is a
particularly important site attribute. An angler who chooses a closer site with a
lower catch rate has “traded off” catch for distance/travel cost—providing an
indication of the value of higher catch rates.
For recreational fishery benefits, AEA will develop the site-calibrated benefits
transfer using a recreational fishing study conducted by Carson, Hanemann, and
Wegge (2009). The nested logit model in this study uses weekly data on the sport
fishing activities of 1,063 respondents over a 22-week period in 1986 to estimate
the economic value of recreational fishing in Southcentral Alaska.
Calibrating the identified relationship to relevant sites, population, and fishery
impacts provides the ability to estimate the economic benefits of the Project. To
calibrate the results from the Carson, Hanemann, and Wegge (2009) study so that
the estimates reflect angling activity near the proposed project, the analysis will
be evaluated across the relevant angling population estimated in Task 2.
Task 4. Identify recreation demand by appropriately combining existing utility functions
with site characteristics under Without-Project and expected With-Project conditions.
In this task, the team will identify recreation demand by appropriately combining
these existing utility functions with site characteristics under Without-Project and
expected With-Project conditions. The representation of recreation opportunities
in a demand system allows identifying an individual’s (or like-minded and located
group’s) likelihood of visiting a site under the specified site characteristics. Under
this approach, Without-Project conditions and site visits are used to identify the
econometric model. Under With-Project conditions, site characteristics will be
different from Without-Project to reflect expected outcomes (i.e., changes in site
availability, harvest rate, etc.). With this new set of opportunities, site choice
simulations are conducted to identify expected changes in survey respondent’s
visits across the directly affected site and all relevant substitute sites. This allows
estimating visitation at sites under conditions that are not currently occurring at
those sites. In addition, because these forecasts arise from simulations of a
structural demand system, it is possible to recover sophisticated economic metrics
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such as changes in respondents’ consumer surplus (i.e., willingness to pay) by
making comparisons across Without-Project and With-Project models.
Task 5. Identify aggregate demand using population data and participation rates.
In this task the team will identify aggregate demand using 2010 Census weights
and participation rates. Once demand systems representing individuals or groups
are aggregated up to the population using Census population weights, we will
identify socioeconomic metrics of most interest including site pressure under
With-Project conditions as well as changes in aggregate social welfare and
differences in social welfare changes across groups of people.
In short, the benefits transfer approach will be used to apply recreation preference functions from
the published literature. Benefits transfer involves the application of unit value estimates,
functions, data, and/or models from one or more previously conducted valuation studies to
estimate benefits associated with the resource under consideration (Black et al. 1998).
The benefits transfer approach will also be used to estimate changes in non-use values (existence
value, bequest value, option value) and values associated with ecological functions in the study
area. Existing studies that could be used to derive estimates of non-use values and values
associated with ecological functions for the study area include Colt (2001). Estimates of non-use
values are typically obtained using the contingent valuation method, as this method is the only
established technique for measuring these values (Black et al. 1998).
Following the methodology of Braund and Lonner (1982), information on the values, attitudes,
and lifestyle preferences of residents in Talkeetna, Trapper Creek, Cantwell, Chase, and the area
north of Chase will be collected through informal interviews with community residents, real
estate professionals, MSB and Denali Borough officials, and other knowledgeable individuals.
The interviews will be conducted using the Recreation Study Plan interview protocol as a
template. Questions asked during these interviews will be oriented toward identifying how the
Susitna River corridor and upper basin is used and valued by local residents. Therefore, all key
informants will be selected for their first-hand knowledge about these topics. An attempt will be
made to obtain a diverse set of informants with different backgrounds. This diversity will
provide a broad range of perspectives. It is estimated that the number of people interviewed will
be comparable to the 107 people interviewed by Braund and Lonner. Information collected from
the informal interviews will be supplemented with data collected through the public survey
proposed in the Recreation and Aesthetic Study, as well as secondary sources. The results of the
analyses of Project effects on population, local economies, subsistence, recreation, and
transportation will be used to evaluate the overall effects on the quality of life of residents of the
region. Analysis results will be documented in the initial and updated study reports
15.6.4.2. Work Products
The results of the social conditions and public goods and services study will be documented in
initial and updated study reports. The reports will include study objectives, study area, methods,
and tabulated results.
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15.6.5. Consistency with Generally Accepted Scientific Practice
Much of the socioeconomic background information will come from published sources,
including local governments, boroughs, state agencies, and the federal government. The REMI
model being used to forecast future economic conditions has been calibrated for Alaska and has
recently been used in work completed for the Alaska Pipeline Project. The REMI model is used
by federal, state, and local governments as well as universities and consulting firms.
15.6.6. Schedule
It is anticipated that completion of the work described above will require about six or seven
months of effort in 2013 and will be summarized in an Initial Study Report in Q1 2014. There
may be additional analyses or model runs in 2014 to incorporate information from the 2013
studies. These will be addressed in the Updated Study Report issued in Q1 2015 (see Table
15.6.1).
In 2014 and 2015, licensing participants will have opportunities to review and comment on the
study reports (Initial Study Report in early 2014 and Updated Study Report in early 2015).
Updates on the study progress will be provided during Technical Workgroup meetings which
will be held quarterly in 2013 and 2014.
15.6.7. Relationship with Other Studies
The Social Conditions and Public Goods and Services Study will require input from several other
studies as shown in Figures 15.6-1 through 15.6-4, below. The study will conduct an economic
valuation of changes in recreational and subsistence fishing and hunting using information
provided by the Recreation and Aesthetics Study (Section 12.5) and Subsistence Resources
Study (Section 14.5), both of which will incorporate data from the Fish and Aquatic Resources
Study (Analysis of Fish Harvest, Section 9.15) and Wildlife Resources Study (Wildlife Harvest
Analysis, Section 10.20). The economic effects of changes in the level of production of
commercial fishing operations will be based on data from the Fish and Aquatic Resources Study
(Analysis of Fish Harvest, Section 9.15).
The study will conduct an economic valuation of changes in recreational activities that are not
dependent on fish or wildlife, such as boating and snow machining, using information provided
by the Recreation and Aesthetics Study (Sections 12.5 and 12.6).
The regional economic impact of changes in expenditures related to recreation and subsistence
activities related will be estimated using the results of the Recreation (Section 12.5) and
Aesthetics (Section 12.6) Study and Subsistence Resources Study (Section 14.5), both of which
will incorporate data from the Fish and Aquatic Resources Study (Analysis of Fish Harvest,
Section 9.15) and Wildlife Resources Study (Wildlife Harvest Analysis, Section 10.20).
The socioeconomic effects of changes in transportation patterns will be assessed based on the
results of the Transportation Resources Study, which will incorporate demographic and
economic forecasts provided by the Social Conditions and Public Goods and Services Study.
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15.6.8. Level of Effort and Cost
The economic impact components will require an estimated 2,400 to 2,800 person-hours in 2013
and 2014. Limited secondary data for many of the communities in the study area will require
telephone calls and executive interviews with businesses and other organizations to develop
sufficient information to evaluate the socioeconomic effects of the Project on each community.
This effort, including both the initial and updated study reports, would occur over a 8 to 9 month
period. The estimated cost would range from about $400,000 to $500,000, depending on the final
survey methodologies used.
The recreation, ecological services, and lifestyle preference components will require an
estimated 2,400 to 3,600 person hours in 2013 and 2014. This work will require coordinating
with other studies on their survey results, extraction of preference functions from existing
studies, and collection of secondary data. The work may also require telephone calls, executive
interviews, and focus groups. The estimated cost of this work ranges from $400,000 to $600,000.
The total estimated effort and cost for this study is 4,800 to 6,400 hours valued at $800,000 to
$1.1 million.
15.6.9. Literature Cited
Alaska Department of Natural Resources. 2009. Alaska’s Outdoor Legacy Statewide
Comprehensive Outdoor Recreation Plan (SCORP) 2009–2014.
AEA 2011. Pre-Application Document, Susitna-Watana Hydroelectric Project, FERC No. 14241.
Bingham, Matthew F., and Jason C. Kinnell. 2012 - Forthcoming. “The Role of Socioeconomic
and Behavioral Modeling in an Integrated, Multidisciplinary Dam-Management Study:
Case Study of the Boardman River Dams.” In Environmental Land Use
Planning. Rijeka, Croatia: InTech.
Black, R., B. McKenney and R. Unsworth. 1998. Economic Analysis for Hydropower Project
Relicensing: Guidance and Alternative Methods. Prepared for U.S. Fish and Wildlife
Service. Washington, D.C.
Braund, S.R. and T.D. Lonner. 1982. Alaska Power Authority Susitna Hydroelectric Project
Sociocultural Studies. Submitted to Acres American Inc.
Carson, Richard T., W. Michael Hanemann, and Thomas C. Wegge. 2009. “A Nested Logit
Model of Recreational Fishing Demand in Alaska.” Marine Resource Economics
24(2):101-129.
Colt, S. 2001. The Economic Importance of Healthy Alaska Ecosystems. Institute of Social and
Economic Research, University of Alaska Anchorage. Anchorage, AK.
Deason, Jonathan P., G. Edward Dickey, Jason C. Kinnell, Leonard A. Shabman. 2010. “An
Integrated Planning Framework for Urban River Restoration.” Journal of Water
Resources Planning and Management 136(6):688–696.
HDR 2011. Susitna-Watana Hydroelectric Project, Socioeconomic, Recreation, Air Quality, and
Transportation Data Gap Analysis. Unpublished, by the Alaska Energy Authority.
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PacificCorp, 2004. Klamath Hydroelectric Project High-Level Socioeconomic Analysis of the
Landscape Options—Phase 2. FERC Project No. 2082.
Public Utility District No. 1 of Chelan County, 1999. Rocky Reach Hydroelectric Project
Socioeconomic Study Plan. FERC Project No. 2145.
Sacramento Municipal Utility District, 2005. Upper American River Project, Chili Bar
Socioeconomic Study Plan. FERC Project No. 2101.
U.S. Environmental Protection Agency. 2010. Guidelines for Preparing Economic Analyses.
Report Number EPA 240-R-10-001. December. Washington, DC: U.S. EPA.
15.6.10. Tables
Table 15.6-1. Schedule for implementation of the Social Conditions and Public Goods and Services Study.
Activity 2012 2013 2014 2015
1 Q 2 Q 3 Q 4 Q 1 Q 2 Q 3 Q 4 Q 1 Q 2 Q 3 Q 4 Q 1 Q
Gather/Review Existing
Information
Document Existing Conditions
Licensing participant Informal
Interviews
Initial Social Conditions and Public
Good and Services Study Report Δ
Incorporate Information from
Other Studies
Updated Social Conditions and
Public Good and Services Study
Report
▲
Legend:
Planned Activity
----- Follow up activity (as needed)
Δ Initial Study Report
▲ Updated Study Report
FINAL STUDY PLAN SOCIAL CONDITIONS AND PUBLIC GOODS AND SERVICES STUDY 15.6
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 15.6-12 July 2013
15.6.11. Figures
Figure 15.6-1. Fish and Wildlife Study Interdependencies for the Social Conditions and Public Goods and Services Study
Figure 15.6-2.Recreation Study Interdependencies for the Social Conditions and Public Goods and Services Study.
FINAL STUDY PLAN SOCIAL CONDITIONS AND PUBLIC GOODS AND SERVICES STUDY 15.6
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 15.6-13 July 2013
Figure 15.6-3.Fish and Wildlife Harvest Study Interdependencies for the Social Conditions and Public Goods and
Services Study.
FINAL STUDY PLAN SOCIAL CONDITIONS AND PUBLIC GOODS AND SERVICES STUDY 15.6
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 15.6-14 July 2013
Figure 15.6-4. Social Conditions and Public Goods and Services Study Interdependencies with Transportation Study.