The Official Website of the Office of Geographic and Environmental Information (MassGIS)
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| Scope of Services for Buildout Analysis | ||||
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This document summarizes the deliverables and services to be performed by the contractor in preparing a buildout analysis for a given town.
Critical GIS Data Inputs Additional GIS Data Inputs Local Review GIS Methodology Analysis and Implications Final Review and Comment GIS Products and Presentation Initial Map & Source Materials
If the town has a digital basemap and has compiled its assessor’s parcel maps in digital form, those files may provide useful ancillary information and should be collected, along with the assessor’s database. After obtaining and reviewing all
the above documents, if locus maps/site plans for recent subdivisions are
not available, the contractor should seek the assistance of a local official
such as the town planner or engineer in compiling their boundaries on a
large-format map of the community. Town base maps may have severe limitations
in terms of geographic registration and accuracy, so it would be recommended
to use a map of known accuracy (such as a USGS topo or ortho image base
map) for this purpose.
Critical GIS Data Inputs
What follows is detail on each of these layers. Zoning The contractor will develop or update zoning (ZONE) and zoning overlays (OVER) from the most current town zoning map or maps, digitized with reference to the most current town zoning by-law and registered to the town boundary layer from MassGIS. The polygon attribute table of these GIS layers must conform to the MassGIS/RPA standard for attributes as implemented in the MassGIS library which is attached to this contract. Zoning overlays should be digitized only if they will have a real impact on development – in many cases they impose minor restrictions which won’t affect the basic buildout analysis. Subdivisions If needed, the contractor will develop
a GIS layer representing subdivisions (SUBD) filed and approved since the
date of the last MacConnell land use photo-interpretation. This layer will
have attributes as follows:
Land Use The contractor will provide a new
GIS layer (NEWLU) to complement the subdivision layer which shows all other
new development not shown in that layer. This will be developed from visual
interpretation of the most recent orthophoto if available. For the land
use update, only one attribute field will be required, defined as
The codes for this new land use will be as follows: Open Space The MassGIS open space data need to be reviewed and updated as part of this project. New data on permanently protected open space must be provided as an edited version of the MassGIS data, using the coding conventions and other guidance contained in the document "Guidance Notes" distributed to open space mapping volunteers. Permanently protected open space is land which is either held in fee ownership by a government agency or a private non-profit organization for the purpose of conservation or water supply protection or land with deeded limitations on development e.g. conservation restriction, APR or other permanent legal interest. For the purposes of this contract, all the attribute fields relating to site name, ownership or other legal interest, primary purpose and level of protection are critical and must be collected. If a Municipal Open Space plans is available, this may help focus the Open Space layer update. Additional GIS Data Inputs
Also note that many of the above data layers may not represent constraints, but should be available for display and query in interaction with the town. The contractor will determine in consultation with MassGIS and any other sources the availability/status of the following standardized data layers which might contribute significantly to the analysis: The DEP Wetlands Conservancy Program mapping is the most detailed, and should be used if available, with the NWI data being next most desirable and the 25k USGS hydrography as the default choice. The NWI should be coded to allow for display of the five wetlands systems with an item SYSTEM, 1, 1, C whose domain is "P","L","R","E","M". Finally, after analysis of the town zoning by-law and the other source documents collected above, the contractor will determine if any other legal, physical or environmental factors will so significantly influence or constrain future development in the town that no reasonable buildout analysis can be done without considering them. These might include: COMMENT 40 40 C MISC_CODE 4 4 I As digital GIS layers, these factors may be included as absolute or partial constraints as described below under "GIS Methodology". They may also simply represent information that needs to be considered visually when estimating the potential for buildout. Every such GIS layer must be documented fully with descriptive text and data dictionary. However, within the time constraints of this project, it is unlikely that there will be sufficient time to complete the development of much additional data. Local Review
GIS Methodology
1. The assumption is that development will occur on land that is not now developed, so the analysis begins by creating a GIS layer of all developed land by combining areas identified in the mapping of subdivisions and the update of land-use with areas extracted from the MacConnell land use mapping. The use of the MacConnell information should be documented – the developed categories would include spectator and water-based recreation (8,9), residential (10,11,12,13), commercial (15), industrial (16), transportation (18), waste disposal (19), and water (20). Mining (5) is debatable but is probably not an absolute constraint. The assumption that "developed" land cannot be further developed may be questionable; if specific land-use categories or areas that are already developed can be identified where infill or densification should be considered then those areas should be left out of the developed layer and used instead as partial constraints. (See discussion below under step 7.) 2. Subtract all developed land-use from zoning to produce a GIS layer of undeveloped land with attributes of zoning disrict code. 3. Subtract all permanently protected open space from GIS layer of undeveloped land to produce unprotected, undeveloped land . As described above, permanently protected open space is land which is held in fee ownership by a government agency or a private non-profit organization for the purpose of conservation or water supply protection or which has deeded restrictions on development, 4. If relevant, combine all wetlands information into one data layer. 5. Decide what data layers represent absolute constraints on development for both residential and commercial/industrial zoning. This analysis must reflect the way in which the zoning by-law treats resource areas such as wetlands and floodplains. For example, if wetland areas can be included in gross building lot area minimums, then wetlands are not an absolute constraint on development. Only areas which can neither be built on nor contribute to how much building is allowable should be mapped as absolute constraints. 6. Subtract the no-build layers from the unprotected, undeveloped land to produce a GIS layer of all unprotected, undeveloped land which could potentially be developed or contribute to development. 7. Decide what data layers represent partial constraints on development and need to be included in the analysis. For example, large areas to be subdivided within a given soil type may typically allow only 30% of the gross area to be developed due to poor drainage. Wetlands or floodplains may be partial constraints as discussed above. Zoning overlays for water supply protection are another example of a partial constraint that should be mapped if they restrict the density or type of development in a given area. The next step is to overlay the GIS mapping of potentially developable land with all areas representing partial constraints on development to produce a GIS layer of potentially developable land which includes the attributes of zoning district and all the attributes of the partial constraints on development. 8. Three types of summary table may be produced from the polygon attribute table for potentially developable land from step 7. One table gives, for each zoning district classification, the total area within the town for each combination of constraints present within that zoning district. Thus, if floodplains are mapped as a partial constraint, the town might have 2000 hectares of R1 district without any constraint, and an additional 100 hectares of land in the R1 district that are in the 100 year floodplain. This table can be the basis of the analysis of a generalized analysis that provides a rough estimate of buildout potential. If all constraints are treated as absolute constraints, then there is simply one record for each zoning category giving the total potentially developable area within that district. Optionally, a second, more detailed
analysis will require summarizing by individual zoning polygon – this would
be appropriate where the distribution of partial constraints is very irregular
and certain polygons end up with little or no allowable building because
of an atypical concentration of constraints. In this case, the zoning polygon
–id should be referenced to a map with those –ids printed for the individual
zoning polygons. Finally, if parcel mapping is available, the analysis
can be done to summarize for each parcel (or each parcel above a certain
minimum) the characteristics of that parcel.
Analysis and Implications
Residential The broad-brush estimate of the future number of house-lots within each zoning district can be calculated by: Total potentially buildable acreage
within zoning district
1) Because the MacConnell Land Use data do not show single houses on large lots (e.g. farms) as being in the category of developed land, there will be a slightly upward bias in the estimates of future number of houses. For example, a development model of an 80-acre estate into 65 building sites would not take into account the existing house on the estate, and would therefore overestimate the total number of new houses by one. (The "developed land" category includes commercial, industrial, residential, and urban lands. The lands available for development therefore include farms, forests etc.). 2) However, a bias in the opposite direction may also occur because the MacConnell mapping may not show all of the small developable lots within the municipality core as being available for future development (i.e. these lots have already been placed in the developed lands category). 3) Depending on how wetlands are treated as partial constraints, this methodology may also underestimate the effect of wetland regulations, as the scale of the maps may not allow for all wetlands to be shown. Although most towns allow at least some wetlands to be included in the lot area required for zoning, typically only the large wetlands show on the buildout constraints map. These are the wetlands that are likely to be predominantly "excess acreage" as part of houselots. The assumption is that smaller wetlands that do not show on the Buildout Constraints Map are the ones which will be incorporated into future houselots. 4) The analysis does not include any potential residential units in the business, commercial or industrial zones. These areas are instead analyzed for the potential for commercial or industrial development. 5) An assumption of this study is that the municipality will have 10% of its housing stock qualified as "affordable", and the community will therefore not be subject to proposals for higher density "Chapter 40B" developments. 6) The estimate of households can be viewed as conservative, since it does not include the potential for conversion of existing single family houses to two-family units (where allowed), and also does not account for variances or special permits that would increase the total number of units of housing or the amount of commercial or industrial space. To calculate the residential buildout,
the simplest approach is to calculate a multiplier for each zoning district
that relates the raw land acreage to the potential number of houselots
that could be established from that raw acreage. For example, in a community
with requirements for 50-foot-wide road right-of-way for new subdivision
roads, in a 1-acre zoning district which has a minimum frontage requirement
of 200 feet (Note: use lot width, if that is greater than the frontage
requirement), then the calculation is:
For example:
However, when the most recent 10 years of subdivisions are compared for lot yield from gross acreage, it becomes obvious that the average subdivision within a particular zoning district does not meet the theoretical maximum number of lots that could be generated from the raw land that was the basis of the subdivision. This is the result of wetlands, steep slopes poor soils (on the areas served by septic systems) and odd lot configurations that will not allow a developer to maximize the number of lots. These additional constraints can be modeled using the GIS as described above. In areas where the subdivisions were on sewer and where wetlands and steep slopes do not appear to be a constraint, an additional 10% may have to be removed from the raw land acreage to account for the odd lot configuration. This would mean that in the above case, a total of 20.3% of the raw land would need to be removed from the buildout calculations. The calculations for lot yield from
a raw land acreage of 531,432 square foot area (12.2 acres) would therefore
be as follows:
25 (1/2 right-of-way) x 125 (lot
width required) = 3,125 (or 17.2%)
When an additional 10% is added (to account for odd lot sizes and shapes), a total of 27.2% should be removed from the gross land acreage as part of the buildout calculation. Commercial / Industrial The analysis is based upon a combination of the Floor Area Ratio (FAR) and percent lot coverage and height limitations in the local zoning code taking account of impacts of the local parking, open space, and Board of Health requirements on this FAR. This establishes an "effective FAR" that takes all of the various regulations into account. Analysis will be made for the various potential uses within each zoning district. In order to not overestimate the potential square footage, these figures should be based upon a realistic mix of alternative allowable land uses within each district (i.e., upon existing patterns and trends). The buildout analysis for the business, commercial and industrial districts within a community results in a total additional square footage of commercial or industrial space that could reasonably be built under the regulations within a community. This analysis is based upon the Floor Area Ratio, percent lot coverage, height limitations, parking regulations, open space requirements, and (on rare occasions) the board of health regulations. Note that in some communities, these various regulations may have different limitations within an aquifer protection district. Also note that the definitions may vary from town to town; for instance one town may allow gross square footage of floor space and gross lot area to be used in calculating floor area ratio, while another town may base this calculation on net rentable square footage (no stairways or storage areas included) and dry upland lot area (no floodplain or wetlands). The regulations and the definitions must both be examined. Because commercial and industrial facilities tend to be very large, and in most cases appear to have sufficient existing road frontage (or could have such frontage by lot consolidation), one would not include road area as a reduction factor for calculations of commercial and industrial future potential development. Areas determined to be "developed" by the MacConnell data generally are left in that category. However, areas on commercial or industrial lands that are used only for junkyards or extensive outdoor storage are not deemed to be developed, and are generally added back into the calculations. Gravel pits within the commercial and industrial zones may also be added back in, on the assumption that they will be built upon at the end of the mining cycle. Areas in narrow strips between developments shown on the MacConnell datalayers are generally removed as non-developable buffer strips (they are likely to be greenbelt buffers required as part of the adjacent developed areas). Floor Area Ratios:
Examples: 1) A district which allows a mix of retail and office space, where the number of spaces required is 5 per 1000 square feet of floor area for both uses. Assume that the regulations specify a height limit of 25 feet (or two stories) and a percent lot coverage of 25%. Based on the percent lot coverage and the height limit, one could expect an FAR of .50 in the absence of any other constraints. The following illustrates that parking is a limiting factor: Total square footage of floor space
/
1000 + ( 10 x 420 ) = 2) A District which allows for a mix of offices, warehousing and manufacturing, with a 35 foot (or three story) height limit and a 40% lot coverage. Parking regulations vary for the three uses, being 5 per 1000 square feet for offices, 4 for manufacturing, and 2 for warehouses. For Offices, assume 3 story to maximize the total square footage on the smallest land area: 3000 (1000 on each floor) /
1000 / 1000 + (2 x 420) = .54 Effective FAR Note, however, that the 40% lot coverage bylaw is more restrictive than the figures calculated from analysis of the parking. Therefore, parking is not limiting, and the Effective FAR for Warehousing is .40 based on the lot coverage bylaw. For Manufacturing Facilities, also assume one story construction, as that is the current industry standard: 1000 / 1000 + (4 x 420) = .37 Effective FAR Note that in this case, the Effective FAR based on the parking analysis is more restrictive than the lot coverage bylaw, and so the .37 figure would be used. To calculate the Overall Effective FAR for the above District, the relative amounts of future growth expected in each category would need to be determined in conjunction with the Town Planner. This is an important phase of the analysis, because an assumption of 100% warehouse space will yield a much higher result than an assumption of 100% manufacturing or a mixed use assumption. If one assumes a future mixed use of 1/3 of each of the above land uses in the District, then the Effective Floor Area Ratio for the District is calculated to be.39 FAR Similar calculations would have to done to account for required green space or other amenities. If it is not possible to obtain local input in projecting the mix of uses, the pattern of existing uses may also be used as an estimate for the mix of future allowable uses. For example, if the land use within an existing commercial district is 30% warehouse, then this figure could be used as the estimate for the future proportion of warehouse development in that district.
Final Review and Comment
GIS Products and Presentation
Last Updated 2/1/2002
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