Matters ▸ Attachment
RKGMemore IZOrdinance2016-02-08 — File 200827
1359 Hancock Street, Suite 9
Quincy, MA 02169
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Fax: [phone removed]
Economic
Planning
and
Real Estate
Consultants
MEMORANDUM
TO:
George Proakis, AICP, Director of Planning
FROM:
Judi Barrett
Eric Halvorsen, AICP
Jahangir Akbar
RE:
Inclusionary Zoning Ordinance
DATE:
February 8, 2016
CC:
Kyle Talente
1.
INTRODUCTION
RKG Associates, Inc. has completed a preliminary analysis of the impact of proposed changes to
the City’s inclusionary zoning (IZ) ordinance on development feasibility in Somerville. As we
understand it, the Board of Aldermen has received a citizen petition to change the current
affordable housing requirement from 12.5 percent of the total units constructed in any structure
with eight or more housing units to 20 percent of total units in any structure with six or more
housing units. If approved, the new policy would take effect immediately. It would also carry over
to the proposed zoning ordinance should it be adopted in the future, unless the new code involves
a different IZ policy.
To determine the impact of the proposed IZ amendments, RKG constructed an Excel-based
financial feasibility model designed to perform iterative analyses of various development types
while accounting for changes in market conditions. The model framework includes a series of
construction cost and market value assumptions that can change depending on property location
within Somerville. The model is also sensitive to changes in the percentage of affordable units in a
project and changes to the target income group. (e.g., 50 percent of AMI, 80 percent of AMI, etc.).
A more detailed explanation of the model, RKG’s approach, and our methodology can be found in
Section 3, Methodology. Below are a few preliminary key findings from our initial analysis. These
findings may change as RKG continues to review the model design with City staff and makes any
necessary adjustments to finish the model assumptions. The findings are expanded upon in Section
4 of this memorandum.
2.
PRELIMINARY KEY FINDINGS
•
Increasing the required percentage of affordable units from 12.5 percent to 20 percent city-wide
produces a lower rate of return for smaller multi-unit projects. This could discourage private
investment.
•
Smaller projects have a harder time absorbing a change in the rate of return than larger projects
due to the overall size of the development budget. A 1 percent change in the rate of return on
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February 8, 2016
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an eight-unit project could make a significant difference in the financial feasibility of the
project.
•
Assessed land values vary widely across the City. Where land values are higher, a change in
the inclusionary housing policy will have a greater impact on financial feasibility and rate of
return. A city-wide increase in the inclusionary housing policy could push development to
parts of Somerville where land values are lower. In addition, it could continue to escalate sale
prices and rents in locations where land values are higher in order to maintain a normal rate
of return.
•
Increasing the required percentage of affordable units could have the unintended consequence
of effectively lowering property values across the City. This is because developers will not pay
as much for land if they have to designate more market-rate units as affordable housing. If the
assessed value of land declines, it will not only affect city tax revenue but also diminish value
from private property owners.
•
The zoning district in which a development parcel is located has a significant impact on
financial feasibility. The more restrictive the dimensional requirements, the harder it is to
achieve a residential density which provides a high enough rate of return.
•
Parking costs, especially if underground parking is required, create a major barrier to the
financial viability of a project.
3.
METHODOLOGY
RKG has developed a financial feasibility model for the City of Somerville to test the impact of
changes in both inclusionary housing percentages and targeted income groups, on the financial
performance of eight different building types. RKG’s approach was to develop a dynamic model
that reacts to changes in zoning, parking requirements, land values, construction costs, and
achievable sale and rental prices based on parcel location. The model uses a series of default values
or inputs to construct a baseline scenario of costs and revenues, but users can make manual
overrides for a variety of factors using the model’s interface page. These overrides are important
because different developers may use alternative assumptions for the same building type, which
in turn could affect financial feasibility.
3.1.
Scenario Factors
The primary challenge in developing the model was to account for the variety of assumptions and
factors that can change depending on where a developer may build within the City. Our task was
to measure the financial viability of a particular development based on the inclusionary housing
policy the model user chooses. The model allows the user to choose from the following
inclusionary housing percentages, as requested by City staff:
•
12.5 percent;
•
14.8 percent;
•
15 percent;
•
16.67 percent;
•
17.5 percent; and
•
20 percent.
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The model user can also redefine the household income threshold for pricing the affordable units.
These choices include, also as requested by City staff:
•
40 percent of AMI;
•
50 percent of AMI;
•
60 percent of AMI;
•
65 percent of AMI;
•
70 percent of AMI;
•
80 percent of AMI;
•
100 percent of AMI; and
•
110 percent of AMI.
The financial feasibility of a project is also affected by other regulations the City has (or may) put
in place through its own regulatory authority, which include:
•
Zoning district (current or proposed);
•
Parking district (current or proposed);
•
Type of parking required;
•
Special permit requirements; and
•
Building type and allowable uses.
Each one of these model components and others are described below in Section 3.3, Model
Components.
3.2.
Data Collection
To obtain model assumptions based on the present real estate realities of Somerville, RKG
conducted a series of interviews with local developers who have recently constructed residential
and mixed-use projects in the City. During the two-day interview process, RKG interviewed
developers to better understand the development climate within the City and obtain cost and
revenue data for use in the model. These data points included, but were not limited to:
•
Site development costs;
•
Land acquisition costs;
•
Construction costs;
•
Permitting costs;
•
Cost of operations for larger projects;
•
Land and building values; and
•
Projected rents and sales prices.
RKG conducted additional interviews with several small banks in Somerville that provide
construction and end financing for development projects within the City. These interviews helped
inform assumptions for:
•
Exit cap rates;
•
Lending terms;
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•
Interest rates;
•
Discount rates; and
•
Construction period.
Information about the current and proposed zoning ordinances was obtained from the Somerville
Planning Department. RKG worked closely with planning staff to develop assumptions for
building types, zoning districts, parking districts, and building dimensions. RKG also worked with
the City’s property assessment data to develop assumptions for land values across Somerville. As
RKG continues to coordinate with City staff on completing the model, some of these assumptions
may change to better reflect current and future development patterns.
3.3.
Model Components
As noted above, the model has to account for numerous factors in determining the financial
viability of a development proposal. This section discusses some of the key components of the
model, what they are, how they work, what impact they have on feasibility, and how they were
developed.
Geographic Subareas
Somerville is a complex real estate environment where block-to-block values can swing in one
direction or the other. When RKG interviewed, they noted that land value (which is an important
factor in financial feasibility) changes dramatically as one moves from eastern Somerville to
western Somerville. To account for the variation in land values, RKG split the city into five distinct
sub-areas based on parcel-level assessor’s data reflecting assessed land values. Within the model,
assumptions such as land values, rent prices, and sale prices vary to make the model more realistic
and geographically accurate. See Appendix 1, Figure 1 for a map of the five sub-areas.
Zoning
Zoning is a key model assumption and input. Zoning provides the framework that regulates what
can be constructed on a parcel of land. It regulates the use of the property and the dimensions with
which a structure must comply. The financial feasibility of a development relies heavily on the
number of units that can be constructed on a parcel of land. If the zoning district’s use and
dimensional restrictions are too stringent, it makes it more likely that a project will not be
economically feasible.
The model takes into account two zoning scenarios. For each development scenario, the model user
can choose the current zoning district or the proposed zoning district, depending on which
condition the user wants to test. A maximum developable building area (in square feet) was
developed for each zoning district, taking into account open space requirements, building
dimensions, and parking. The model responds to the size of the development parcel. In many cases,
a larger parcel can yield more units, which can help with project feasibility.
Parking and Parking Districts
In addition to sub-area and zoning districts, the model also takes into account parking ratios for
six different parking districts (three under the existing ordinance, three under the proposed
ordinance). The primary variation between each of the districts is namely under commercial
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parking ratios. This becomes important when looking at the feasibility of mixed use buildings that
have both commercial and residential components. Under the current zoning ordinance, parking
ratios for retail development can be as low as 0.67 spaces per 1,000 square feet of retail area to as
high as 3.33 spaces per 1,000 square feet of retail.
Model users can also select the construction method for off-street parking. RKG assigned costs for
surface parking, above ground parking structure, and below ground parking. The cost of parking
is significant, especially when a developer is looking to utilize below- ground parking for a
building. A single space can cost as much as $36,000, compared to a surface parking lot space which
is closer to $5,500.
Building Types
In order to create consistency between the assumptions made under the current zoning and the
proposed zoning, City staff provided RKG with eight building types to use within the model. These
range from a small cottage-style single family home to a large mixed use building akin to Assembly
Row. Each building type has a maximum allowable floor plate which helps to dictate the total
number of units that could be constructed on a parcel of land. The model user can select from the
eight building types on the interface page of the model and see how changes in the inclusionary
percentage affects buildings of different scales.
Retail Space
Retail space comes into play when model users select the mixed-use building type on the interface
page. RKG created an assumption in the model that all first floor commercial space in a mixed use
building would be leased out as retail and/or a restaurant. This also carries a higher parking ratio
compared to office space, making the assumptions in the model a bit more conservative.
Construction Costs and Materials
RKG designed the model to represent three different types of construction that could occur within
the City. The first is traditional stick-built construction, the second is stick construction over a steel
or concrete podium, and the third is concrete/masonry stack construction for taller buildings. The
stick and stick-over-podium construction methods are the most common in Somerville, but taller
buildings could be constructed in locations like Assembly Square, Union Square, or
Innerbelt/Brickbottom using concrete/masonry stack methods.
Inclusionary Zoning and Triggers
The City’s IZ policy is broken down into two distinct pieces: the percentage of total residential
units which must be provided as affordable to a household meeting the target income threshold;
and the number of units at which a development triggers the IZ requirement. Currently, the City’s
policy states that any development with eight or more residential units must make 12.5 percent of
those units available as affordable housing to qualifying households. While there is a petition on
the table to increase the percentage of affordable units to 20 percent in buildings with six or more
units, the RKG model includes a number of choices to test various inclusionary policies. The model
allows the user to choose between six different inclusionary percentages and three different unit
trigger (applicability) values. This was done in order to weigh the impact of potential changes and
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to better understand what inclusionary percentage will best balance the need for affordable
housing production while not discouraging private investment in the City.
Target Income Thresholds
As discussed above, the model accounts for target income thresholds at which households would
qualify for affordable housing units. RKG designed the model interface with eight different income
thresholds ranging from 40 percent of area median income (AMI) up to 110 percent of AMI. This
was necessary because different housing finance programs such as LIHTC or those offered through
an organization like MassHousing have different income thresholds for affordability. The City also
has a set of thresholds for establishing affordability for units. The model interface allows the user
to choose from a variety of thresholds and percentages of affordable housing to visualize the
financial impact of different affordability scenarios.
Treatment of Fractional Units
With the City’s current IZ percentage set at 12.5 percent in most parts of Somerville, it is likely that
a development over eight units will wind up with a fractional percentage of a unit. For example, if
some developers constructed a ten-unit residential building, they would be required to provide
1.25 affordable units. The current ordinance would require one unit to be constructed, with the
fraction of .25 to be made as a payment in lieu to the City. If the resulting fraction is 0.5 or greater,
the developer is required to round up, resulting in construction of an additional affordable unit.
City staff asked RKG to design two additional fractional unit choices that could be tested in the
model. The first is that any fraction of a unit would be rounded up to a whole unit, resulting in a
new affordable unit. The second scenario is any fractional unit results in a payment in lieu to the
City, meaning any fraction between 0.000001 and 0.999999 would result in a payment. These two
additional scenarios will have a significant impact on the financial feasibility of a project,
particularly if any fraction of a unit is to be rounded up to a whole unit.
Each of these model components, along with many others, are used as assumptions to run the
financial feasibility pro forma. By constructing the model in a way that allows the user to make
different choices based on location, building type, or income threshold it is easy to test the impact
of these choices on financial feasibility.
4.
PRELIMINARY FINDINGS
To test the model and the underlying development assumptions, RKG ran a preliminary test case
scenario through eight different iterations to determine which variables have the greatest impact
on financial feasibility. Table 1 (next page) highlights some of the key variables that comprise each
of the eight scenarios.
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Table 1: Scenario Variables
Scenario
Subarea
Zoning
Building
Type
Parcel
Size
Parking
District
Inclusionary
Percent
AMI
Threshold
1
2
BA
Apartment
House
(9-16 unit)
10,000
square
feet
BA
12.5%
65%
2
2
BA
BA
20%
3
2
UR
U-TOD
12.5%
4
2
UR
U-TOD
20%
5
5
BA
BA
12.5%
6
5
BA
BA
20%
7
5
UR
U-TOD
12.5%
8
5
UR
U-TOD
20%
4.1.
Inclusionary Percentage
Based on the model scenarios, a change in the IZ policy from 12.5 percent to 20 percent has an
impact on the internal rate of return (IRR) which is used as an indicator of a project’s financial
feasibility. Through interviews with both developers and lending institutions, RKG was provided
with a range of acceptable rates of return, from 15 percent to 20 percent. A project with an IRR in
this range would likely be considered profitable enough that lenders and developers would invest
in a project in Somerville. Based on the preliminary set of assumptions in the model, the eight
scenarios above generated an IRR range of between 9.4 percent and 12.9 percent, which is well
below the range provided to RKG by lenders and developers.
Building permit data from the City show that a large number of residential projects in Somerville
fall below the eight-unit trigger under the existing IZ policy. RKG also heard from developers that
many try to keep their projects under eight units in order to avoid having to provide one affordable
unit because of the impact to their financial return. When RKG tested the effect of removing the
inclusionary units from the financial pro forma in the model, the IRR of Scenario 1 rose to 15
percent. Smaller residential projects will have a more difficult time absorbing a change in the
inclusionary policy without some other cost offset or form of zoning relief. A 1 percent change in
IRR on an eight unit project could mean the difference between moving forward on a development
or not. This is likely the reason the City is seeing many smaller projects under eight units, and
several very large projects (Assembly Row, Maxwell Green) that can spread the loss of income on
affordable units across a larger project.
4.2.
Land Values
As discussed above in the Model Components section, land values vary greatly based on a parcel’s
location in the City. As one moves from east to west, land values tend to increase. The amount of
money a developer can pay for a piece is land is a critical component to the financial feasibility of
a project. The higher the land value, the more a developer needs to offset their costs through things
like higher density, lower parking, or increased sales prices and rents. RKG’s model simulations
have shown that land value is one of the key factors determining change in IRR. A difference in
land value of $150,000 reduces the IRR by as much as 1.5 percent under the model scenarios shown
in Table 1. For a project that is on the financial margin, land cost is an important factor and one that
private property owners may not be willing to negotiate.
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The challenge for land values comes into play if the affordable housing requirement is increased
from the current 12.5 percent because property owners will still want the same amount of money
for their land as they can get today, but developers cannot afford to pay the same amount. If the IZ
percentage increases without any cost offsets, developers will still have to pay the same price for
the land with the same number of buildable units but will have to restrict additional market rate
units as affordable. This has a significant impact on the amount of revenue the development can
generate, which in turn affects the IRR.
Increasing the IZ percentage could also have an impact on private property values across the City.
Under a scenario where the inclusionary percentage is increased, developers will likely no longer
be able to pay the current market value for land because their rate of return on a development will
decrease. If land is purchased at a lower value, it will affect the assessed valuation of not only the
purchased property, but similar properties surrounding it (comps). This not only decreases the
value of property owners’ investments, but it also impacts tax revenue generated by the City which
is a function of assessed valuation. It will be up to City policy makers to determine if the public
good of producing additional units of affordable housing outweighs the potential loss of tax
revenue.
4.3.
Zoning
The zoning district which a parcel is located in can also affect the financial viability of a
development proposal. While the current and proposed zoning ordinances differ in the way they
regulate the built form on a parcel of land, they both still restrict the amount of built space a
developer can construct. RKG created a value for maximum buildable area for each zoning district
in the current and proposed ordinance as a way to calculate the number of units a parcel of any
given size could reasonably accommodate. It takes into account open space requirements, parking
requirements, lot dimensions, and building height. This provides an effective building envelope,
similar to how the proposed zoning ordinance is structured.
Under the current ordinance, zoning districts vary from restrictive to liberal in the way the district
regulates land development. Not surprisingly, the less restrictive the zoning district’s regulations
are the more likely it is a development proposal will have a reasonable rate of return. For example,
the Residence C zoning district has high setback requirements and a minimum lot size of 7,500
square feet. In a compact city, it is difficult to find many lots that match these minima within the
district and valuable land can be taken up by generous setbacks. Open space and parking
requirements also reduce the buildable area of the lot. Ensuring that these minimum requirements
are in line with the character of the neighborhood is very important, but it is also important to be
sure they are not restricting the creation of housing units.
4.4.
Parking
Parking costs can have an impact on the financial feasibility of a development, particularly when
there is a requirement (or need) to place parking in a structure or below ground. The typical cost
of a surface parking space is around $5,500. This cost increases to around $28,000 for above-ground
structured parking, and $36,000 for below-ground parking. In some cases, in order to achieve a
financeable unit yield, developers have to place parking underground to maximize building space.
This is especially true in a city like Somerville where average parcel sizes tend to be small, creating
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the dense compact built form that exists today. The building modeled under Scenario 1 produced
sixteen units and would require twenty-seven parking spaces. If these parking spaces were to be
provided in an underground structure, it would cost nearly one million dollars. If the parking were
provided on a surface parking lot, it would save the developer close to $800,000. On a small parcel
of land, it can be very challenging to find the space for a sixteen unit building and a surface parking
lot large enough to hold twenty-seven spaces. Where possible, the City should work with
developers and residents to make parking ratios realistic and responsive to the needs of today’s
population.
4.5.
Summary
From the preliminary modeling conducted by RKG, it appears that both the current and proposed
IZ policies affect development feasibility by creating a climate where only small projects and very
large projects are moving forward with regularity. If the inclusionary percentage is increased to 20
percent, it is likely that this trend will continue with the possibility of discouraging private
investment. This could have the opposite effect the City wants by creating a situation where
residential development is slowed, resulting in the production of fewer residential units, including
affordable units. RKG recommends that the City consider providing clear, meaningful cost offsets
if the inclusionary percentage is to be increased in order to mitigate the financial impacts of
producing additional affordable units. This could come in the form of a density bonus, tax
incentives, zoning or parking relief, cash subsidies from City resources, and other mechanisms.
Creating more affordable housing options for residents in Somerville is important, especially at a
time when market rents and sale prices are increasing dramatically. At the same time, it is
important to understand that policy changes can reduce financial feasibility and create regulatory
barriers to future development.
5.
NEXT STEPS
As this project closes out over the next 6 weeks, the RKG team will meet with City staff to go over
the model in further detail and make any adjustments to model assumptions as needed. RKG will
also test several different development scenarios to ensure that the model is fully functional and
meets the needs of staff. After ensuring that the model is complete, RKG will provide a final report,
noting any changes or adjustments to the model assumptions or the findings that were presented
in this preliminary memo. As noted above, findings in this memo may change based on
conversations with City staff and potential changes to underlying assumptions within the model.
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Appendix 1: Supplemental Maps
Figure 1: Somerville Subarea Map
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Figure 2: Current Zoning Districts Map
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Figure 3: Proposed Zoning Districts Map
Figure 4: Proposed Transit Orientation Districts Map
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