Coastal Services Center

National Oceanic and Atmospheric Administration

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Indicator Methods


The tables below detail the methods used to calculate each indicator. In each table, the Description of Methods section provides a description of the process, assumptions, and inputs considered by the project team. The Variable Source section lists sources used to derive inputs for the indicator calculation. The Formula section includes a description of the calculation in general algebraic terms.  Note, that formulas may contain project-specific geographic information system (GIS) theme names.

Cost to Construct Paths, Trails, and Sidewalks

Description of Methods
This indicator measures the total length and type of paths and trails included in each scenario in order to estimate path and trail development costs. These include paved bike trails, paved and unpaved walking trails, and sidewalks. Bike paths and walking trails are drawn as separate geographic information system (GIS) layers in the scenarios and attributed by surface type and imperviousness (yes/no). Sidewalks are not drawn but are designated as an attribute of specific roads in the new urbanist scenario (One-sided, two-sided, none). Path and trail surface types include asphalt (bike paths and a walking trail in the conventional scenario), concrete for sidewalks in the new urbanist scenario, and wood chips for walking trails through open space in the conservation and new urbanist scenarios. In each scenario, paths and trails are totaled by type and multiplied by the average costs associated with each surface type. Clearing costs per square foot are added for all paths, sidewalks and trails, except the natural trails. No attempt is made to account for future trail maintenance. The indicator is also reported as the cost to construct the paths, trails, and sidewalks per dwelling unit, which is calculated by dividing the total cost by the total number of dwelling units. The indicator is also reported as the acres of open space per dwelling unit, which is calculated by dividing the total acres by the total number of dwelling units. View the Scenario Dwelling Units section for more information on reporting results per dwelling unit.
Variable Source Formula Description

Sidewalk Costs at $2.25/square foot (CFC, Watershed Protection Handbook);

Asphalt Cost at $5/square foot;

Wood Chip Trail Costs at $0.27/square foot, including clearing

Clearing Cost at $0.05/square foot (Mother Trucking Clearing)

The Sum of values from attribute Sq_ft in theme  Variable 'Clearing Costs_SF' + The Sum of values from attribute Sq_ft in theme Variable 'Asphalt Trail Cost'+ The Sum of values from attribute Square_ft in theme ** Bike path * Variable 'Clearing Costs_SF' + The Sum of values from attribute Square_ft in theme ** Bike path * Variable 'Asphalt Trail Cost'

Cost to Develop Roads

Description of Methods
This indicator was calculated based on the road network designed for each scenario and on average road construction and clearing costs in the St. Marys project area. The roads are included in the GIS and their widths are defined as a GIS attribute, allowing road area (length x width) to be computed. Road type (curb and gutter or drainage swale) is also included as an attribute of all roads. The total road area for each type of road is multiplied by the clearing cost and by the construction cost by road type. The total clearing costs and construction costs associated with the road network are summed to derive the total road cost for each scenario. The indicator likely minimizes road costs because clearing is considered for actual road width rather than a wider road right of way. However, this ensures that clearing costs are not double counted in other indicator calculations that include clearing for paths and sidewalks adjacent to roads and proportional clearing of residential lots. The cost results from this indicator are summed with other indicators to estimate total infrastructure costs in each scenario. The indicator is also reported as the cost to develop roads per dwelling unit, which is calculated by dividing the total cost by the total number of dwelling units. View the Scenario Dwelling Units section for more information on reporting results per dwelling unit.
Variable Source Formula Description
Road shapefile from scenario design;

Road Costs - $3.25/sq. ft. curb and gutter, $3.10/sq. ft. drainage swale (St. Marys Dept. Public Works);

Clearing Costs at $0.05/SF (Mother Trucker Clearing Co.)

The Sum of values from attribute Sqft2 in theme ** Roads * Variable "Clearing Cost_SF' + The sum of values from attribute Sqft2 in thems **Roads *Constant 'Sq Feet per Sq Yard' * Variable 'Road Costs'

Cost of Land Clearing

Description of Methods
This indicator is calculated by establishing an estimate of cleared area for each parcel type and multiplying cleared acreage by an estimated cost of land clearing ($2000/acre). The scenarios are not drawn to a level of detail (i.e., building footprints, driveways, etc.) to allow direct measurement of impervious cover or clearing from our designs. So estimates of cleared area are based on impervious surface estimates from the literature and on a Minimum Trees Retained (MTR) calculation from the Atlanta, Georgia, Code of Ordinances. Impervious acreage, based on percent impervious estimates for land use types from the literature, will be 100 percent cleared. This acreage represents estimated coverage of building footprints, driveways, etc., for each parcel. Clearing for lawns on the remaining pervious area of a lot are calculated based on the MTR from the Atlanta code, which is at 60 percent of pervious acreage. The impervious acreage for each parcel is added to the cleared acreage estimate to derive a total estimate of clearing for each parcel. The cleared acreage is multiplied by the clearing cost per acre to derive costs that are summed for each scenario.
Indicator Name Variable Source Formula Description
Estimated clearing cost by land use type Estimates of percent impervious surface coverage by land use category based on USDA Natural Resources Conservation Service, Center for Watershed Protection, and local expert opinion. View table of impervious surface values and sources

Atlanta, Georgia Code of Ordinances formula for determining minimum trees retained (60% of pervious acreage);

Clearing Cost per Acre = $2000 (Mother Trucker).

The Sum of values from attribute clear_ac in theme Variable 'Clearing Costs'

Cost to Develop Water Lines

Description of Methods

The scenarios were not drawn to a level of detail that included sewer and water lines, water lift stations, or building footprints. For this indicator, the centerlines of the main road network in each scenario are used as proxies for placement of utilities on the project site. A utilities attribute in the road shapefile is used to denote (yes/no) whether or not utilities exist at that segment of the road. A minimum network of road segments are designated "Yes" for utilities – just enough to ensure that utility lines can reach all parts of the scenario. The indicator is then calculated by summing the length of road segments where the utilities attribute equals "Yes," totaling the length of all designated road segments, and multiplying by the average cost per linear foot to develop water lines in the St. Marys area.

No attempt is made to account for lift stations or for water line hookups extending from the main line to individual lots. While utility costs on the whole may be underestimated by this method, because the method is the same for all three scenarios, it serves for general comparison. The cost results from this indicator are summed with other indicators to estimate total infrastructure costs for each scenario. The indicator is also reported as the cost to develop water lines per dwelling unit, which is calculated by dividing the total cost by the total number of dwelling units. View the Scenario Dwelling Units section for more information on reporting results per dwelling unit.

Variable Source Formula Description
Road shapefile from scenario design (where utilities = yes);

Water line construction costs $30/foot (St. Marys Dept. Public Works)

The Sum of values from attribute Length in theme ** Newroads_v where Utilities = "Yes" * Constant 'Meters per Foot' * Variable 'Water Costs'

Cost to Develop Sewer

Description of Methods
The scenarios were not drawn to a level of detail that included sewer and water lines, water lift stations, or building footprints. For this indicator, the centerlines of the main road network in each scenario are used as proxies for placement of utilities on the project site. A utilities attribute in the road shapefile is used to denote (yes/no) whether or not utilities exist at that segment of the road. A minimum network of road segments are designated "yes" for utilities – just enough to ensure that utility lines can reach all parts of the scenario. The indicator is then calculated by summing the length of road segments where the utilities attribute equals "Yes," totaling the length of all designated road segments, and multiplying by the average cost per linear foot to develop sewer lines in the St. Marys area.

No attempt is made to account for lift stations or for sewer line hookups extending from the main line to individual lots. While utility costs on the whole may be underestimated by this method, because the method is the same for all three scenarios, it serves for general comparison. The cost results from this indicator are summed with other indicators to estimate total infrastructure costs for each scenario. The indicator is also reported as the cost to develop sewer lines per dwelling unit, which is calculated by dividing the total cost by the total number of dwelling units. View the Scenario Dwelling Units section for more information on reporting results per dwelling unit.

Variable Source Formula Description
Road shapefile from scenario design (where utilities = yes);

Sewer line construction costs $35/foot (St. Marys Dept. Public Works)

The Sum of values from attribute Length in theme ** Newroads_v where Utilities = "Yes" * Constant 'Meters per Foot' * Variable 'Sewer Costs'

Docks

Description of Methods
The total length of each dock (public, private, and community) is calculated and summed for all docks in each scenario. The dock indicator is also expressed as a total area of dock in square feet (dock length x width). This measure offers a comparison of potential marsh shading associated with dock development in each scenario. All docks are drawn as lines in the GIS, but dock widths were specified as an additional attribute by each scenario group. The new urbanist and conservation scenarios have both public and community docks at 6-foot widths in the site design, while the conventional scenario has public, private (single and shared) and community docks, all at 6-foot widths. The indicator is also reported as the ratio of total docks by the total number of dwelling units in each scenario. View the Scenario Dwelling Units section for more information on reporting results per dwelling unit.
Indicator Name Variable Source Formula Description
Total Dock Length (linear ft.) Dock shapefile Sum Dock Length
Total Dock Area (sq. ft.) Dock shapefile Sum (Dock Length * Dock Width)

Estimated Total Revenue (Gross Revenue) from Residential Units

Description of Methods

Location, location, location. This indicator attempts to calculate the total return from residential lots in the scenarios based on parcel location and the average size of the home planned for the lot. Based on its location, each residential parcel was given an associated amenity type (adjacent to marsh, lake, or open space, or none).

In order to give more value to a parcel with location amenities (for example, a marsh view), cost factors were created to weight the amenity types. These factors were calculated by looking at past residential housing sales in the St. Marys area. Each property listing was given an associated amenity by using plat maps and aerial photography. The amenity types were grouped together and average sale prices from the Camden County tax information were calculated for each amenity type. Amenity factors were created by comparing location amenity types to average interior (baseline) prices. The residential lot cost formula starts with an arbitrary but educated base price for interior lot homes and applies the amenity factors derived from the St. Marys sales history from 1999 to 2002 in order to get an estimated cost for homes on each parcel type. The residential lot costs are then added up for each scenario.

Note that gross revenue is calculated only as a first step in estimating net revenue. Because it is calculated based on the square footage of a home built on a given lot amenity type, gross revenue results are heavily dependent on the amount of total square footage planned for build-out in each scenario. The conventional scenario builds nearly two times the square footage of the conservation scenario, not just by building more units, but, by building larger units also. Though the conventional scenario's gross revenue numbers are much higher, once revenues are adjusted by proportional and nonproportional costs across the scenarios, the net estimated revenue provides a different and more complete story. See the Net Revenue Worksheet for details.

Variable Source Formula Description
Amenity attribute and Cost Factors (Camden County Assessor's Lot Cost Data, see associated .xls file) Base cost at $100/SF The Sum of values from attribute Lot Price in theme ** Newparcels_cm where Land_use = "Residential"

Impervious Surfaces

Description of Methods
This indicator provides a consistent estimate of total impervious surfaces coverage across each of the scenarios. Total acreage of each parcel (residential or nonresidential) was calculated from the scenario shapefiles and multiplied by average percent imperviousness estimates for each land use category. The estimates of average percent imperviousness were taken from reports produced by the USDA Natural Resources Conservation Service (NRCS) and the Center for Watershed Protection. Note that marsh areas located along the periphery of the site were not included in these calculations and were treated as part of the receiving waters.
Indicator Name Variable Source Formula Description
Estimated impervious surface coverage (percentage) Estimates of average percent impervious surface coverage by land use category. Sources include the USDA Natural Resources Conservation Service and the Center for Watershed Protection. The Sum of values from attribute Imp_Surface in theme ** Parcels - Conservation / The Sum of values from attribute Acres in theme ** Parcels - Conservation where Land_use <> "Marsh" * 100
Estimated impervious surface coverage (total acres) Estimates of average percent impervious surface coverage by land use category. Sources include the USDA Natural Resources Conservation Service, Center for Watershed Protection, and local expert opinion. View table of impervious surface values and sources. The Sum of values from attribute Imp_Surface in theme ** Parcels - Conservation

Open Space

Description of Methods
For the purposes of this indicator, open space in the scenarios is taken to include those areas left in a natural state with undisturbed tree canopy (Open Space – Natural) as well as managed park areas (Open Space – Park). Open space managed parks may vary in form from a more natural setting with cleared understory vegetation and a largely intact forest canopy as in the conservation scenario, to predominately cleared and re-planted formal parks as in the new urbanist scenario. Constructed lakes in the conventional scenario are also included in open space totals for this indicator. Total open space is calculated as a percentage of the total project site acreage (excluding surrounding marsh) as well as total number of open space acres. The acres of both types of open space defined for the project – natural and managed park – are summed as described below. The salt marsh area surrounding the project site is not included in the total project acreage nor as open space in any of these indicator calculations. The indicator is also reported as the acres of open space per dwelling unit, which is calculated by dividing the total acres by the total number of dwelling units. View the Scenario Dwelling Units section for more information on reporting results per dwelling unit.
Indicator Name Variable Source Formula Description
Percentage of total site preserved as open space Parcel shapefile for each scenario – land use attribute Sum Open Space Acres/Sum Site Acres * 100
Acreage of all open space Parcel shapefile for each scenario – land use attribute Sum Acres of Parcels coded Open Space - Natural and Park
Acreage of natural open space Parcel shapefile for each scenario – land use attribute Sum Acres of Parcels coded Open Space – Natural and Park
Acreage of managed open space (parks) Parcel shapefile for each scenario – land use attribute Sum Acres of Parcels coded Open Space - Park

Paths, Trails, and Sidewalks

Description of Methods
This indicator measures the total length of paths and trails included in each scenario. These include paved bike trails, paved and unpaved walking trails, and sidewalks. Bike paths and walking trails are drawn as separate GIS layers in the scenarios and attributed by surface type and imperviousness (yes/no). Sidewalks are not drawn in but are designated as an attribute of specific roads in the new urbanist scenario. Asphalt and concrete surfaces are designated as impervious, and wood chip surfaces as pervious. This indicator measures the total length of impervious bike paths, sidewalks, and trails on the project site. The indicator also reports the total impervious versus total pervious trails in each scenario.
Indicator Name Variable Source Formula Description
Total paths/trails (linear feet) Path/trails shapefile Sum Trail Length & Sum Bike Path Length
Total impervious bike paths/trails (linear feet) Path/trails shapefile; roads shapefile (sidewalks attribute) The Sum of values from attribute Length in theme Newtrails_cm where Impervious = "Yes" + The Sum of values from attribute Length in theme Bikecl_cm where Impervious = "Yes"
Total pervious bike paths/trails (linear feet) Path/trails shapefile The Sum of values from attribute Length in theme Newtrails_cm where Impervious = "No" + The Sum of values from attribute Length in theme Bikecl_cm where Impervious = "No"

Percentage of Units in High Hazard Zone

Description of Methods
Federal Emergency Management Agency (FEMA) flood zone data for the project area (specifically the 100-year flood or AE and VE zones) define the high hazard area used for this indicator. Residential parcels from each scenario that fall inside (intersect) this zone are totaled to derive the number of residential units within the high hazard zone and expressed as a percentage of the total number of residential units in each scenario.
Variable Source Formula Description

Residential attribute &

100-year flood zone shapefile (FEMA)

Sum number of units that are in flood hazard zone and that are residential, divide by total number of residential units, and multiply by 100

Pollutant Runoff

Description of Methods
This indicator provides an estimate of the impacts of development on water quality and pollutant concentrations in stormwater leaving the project site. Annual nitrogen, phosphorus, and total suspended solids (TSS) loads were estimated using the EPA's SGWATER application, which is a component of the agency's Smart Growth Index software. Inputs required for modeling runoff with this software include site-specific land use, soils, precipitation, impervious surface, and event mean concentration (EMC) data. Land use shapefiles were created in collaboration with project partners. Soils data were taken from the NRCS Soil Survey Geographic (SSURGO) database. Four years of continuous, daily precipitation data from the Woodbine observation station in Camden County, Georgia, were incorporated. SGWATER calculates runoff volumes and pollutant concentrations generated by each parcel using impervious surface percentages and EMC values. The imperviousness percentages were taken from Center for Watershed Protection and NRCS reports and local expert opinion. The default EMC values included with the SGWATER software were used to estimate pollutant concentrations.
Indicator Name Variable Source Formula Description
Estimated total nitrogen, phosphorus, and suspended solid input to surrounding waters SG WATER software defaults and impervious surface inputs as stated in the impervious surface indicator above. View table of impervious surface values and sources N/A  

Vegetated Buffer

Description of Methods

The State of Georgia considers the marsh to be "waters of the state" and requires a 25-foot buffer landward of the marsh boundary line (as part of Georgia's Erosion and Sedimentation Law.) The buffer can be disturbed by hand clearing and cutting, but no heavy machinery can be in the buffer (for example, for clearing or stump removal) and no infrastructure can be built there. Note that the manmade lakes in the conventional scenario are also included as "waters of the state" for purposes of this indicator. Because lake boundaries are included as required buffer area, the conventional scenario shows a larger required buffer area than the conservation or new urbanist designs.

The vegetated buffer indicator is presented as three measures. The first measure reports the total buffer acres needed for the project site for compliance with Georgia law. Georgia state law mandates 25-foot buffer areas adjacent to waterways, where construction and land disturbance are restricted. The second buffer measure totals the area (in acres) designated as natural open space within the required 25-foot buffer zone. Because the conventional scenario extends residential lot lines to the marsh, these areas are not calculated as reserved buffer areas. However, homeowners would be restricted from construction or tree stump removal in a 25-foot zone adjacent to the marsh, keeping the scenario in compliance with state law. The third buffer measure totals the area voluntarily designated as natural open space in a 100-foot buffer zone adjacent to waters of the state. These areas go above and beyond the state's requirement for protecting water bodies.

Indicator Name Variable Source FormulaAlgebraic DescriptionCommunity Viz
Total buffer area required by law (25 ft.) Vegetation buffer shapefile The Sum of values from attribute Acres in theme Cm_25buff_clip
Actual vegetated buffer area included in scenario between 0 and 25 ft. from water body edge Vegetation buffer shapefile (land use attribute) The Sum of values from attribute Acres in theme Cm_25buff_clip where Land_use = "Open Space - Natural"
Actual vegetated buffer area included in scenario between 0 and 100 ft. from water body edge Vegetation buffer shapefile (land use attribute) The Sum of values from attribute Acres in theme Cm_100buff_clip where Land_use = "Open Space - Natural"

Walkability

Description of Methods
For each residential parcel, a straight-line distance is calculated between the parcel and the nearest open space or commercial area. The number of residential parcels within a walkable distance (defined as 1/4 mile) to the nearest open space parcel and those within a walkable distance to commercial parcels is represented as a percentage of the total number of residential parcels in each scenario. Note that these calculations measure line-of-sight distances rather than distance measured along road or trail networks.
Indicator Name Variable Source Formula Description
Percent of residential parcels within 1/4 mile of recreational or natural open space parcels Parcel shapefile, distance to open space attribute; Walkable distance - 1/4 mile Sum number of residential parcels where distance to open space parcels is less than 1/4 mile / Sum number of residential parcels x 100
Percent of residential parcels within 1/4 mile of commercial parcels Parcel shapefile, distance to commercial attribute; walkable distance - 1/4 mile Sum number of residential parcels where distance to commercial parcels is less than 1/4 mile / Sum number of residential parcels x 100

Water Consumption

Description of Methods

This indicator estimates water consumption totals for residential and park parcels in the scenarios. The indicator associates indoor and outdoor water consumption rates based on national figures from Handbook of Water Use and Conservation by Amy Vickers (2001). Single-family residential indoor usage equals 69 gallons per capita per day (gpcd), applied to all single-family units in all three scenarios. The average residential outdoor usage for watering is 27 gpcd, which is prorated by average lot size in each scenario. This indicator assumes that the conventional scenario lots (average size 0.6 acres) are equivalent to the reported 27 gpcd national average for outdoor usage for watering. Because the average residential lot size for the conservation and new urbanist scenarios is 0.2 acres, one-third of 27, or 9 gpcd, per lot is applied for outdoor usage in these scenarios. For the purpose of this exercise, we are assuming that there is an average of three persons per household. Therefore, the water usage totals for each lot were multiplied by three to account for the average household size. Residential usage is totaled for all lots in each scenario. Water usage numbers for managed parks parcels (open space=park) are based on local Savannah, Georgia, numbers for water usage in the jurisdiction's open space squares, typically 1,730 gallons per day, per acre. The water consumption reports the summed estimated residential and outdoorusage for each scenario.

Note that commercial parcels are not included because these areas are not defined in sufficient enough detail in the scenarios to apply valid estimates. This indicator takes a broad but consistent approach that serves for general comparison between the three hypothetical scenarios. Actual outdoor water consumption rates would vary with many factors associated with a site (for example, soil type, new versus established landscapes, amount of tree canopy, etc.).

Indicator Name Variable Source Formula Description
Estimated total water consumption (gallons per day)

Single-family residential indoor usage(per unit) - 69 gpcd (Vickers, 2001);

conventional scenario SF outdoor usage (per lot) 27 gpcd (Vickers, 2001);

conservation and new urbanist SF outdoor usage (per lot) 9 gpcd.

Multi-family indoor/outdoor usage (per unit)- 57 gpcd; (Vickers, 2001);

Managed parks - 1733 gal/day/acre (City of Savannah, Georgia)

Sum of residential housing units and parcels * Water Consumption Value (varies by Land Use Type) * Average persons per household (3) + Sum of Managed Park acres * Water Consumption Values

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