The pressure within cities is called “intensity”. Like blood
pressure, it can be an indication of sickness or health. High and low blood
pressure is caused by political assumptions and design specification values
that represent city design decisions. Fortunately, it is possible to accurately
measure the pressure of intensity by recording design specification values that
determine its mass and context. This makes it possible to observe, index and evaluate
the conditions created. These conditions represent the architecture of city
design. The challenge is to lead it toward symbiotic compositions based on the
knowledge acquired.
Design specification values interact to produce development
capacity options. These options can be predicted with forecast models. Development
capacity is gross building area GBA. I’ve used it as a surrogate for building mass
in these models because floor area can be used to predict many related
implications. When talking about Development
Capacity Evaluation software DCE, therefore, mass and capacity are
synonymous terms.
Building mass and pavement is offset by project open space
to produce levels of intensity, and intensity is a term defined with design
specification values that have leadership potential. I’ve attempted to
summarize these values with an index of intensity in the forecast models
mentioned, but have not been happy with the results. These indices have taken
the form (f.S) and (GBA / BLAC). In the first, (S) is the percentage of buildable
land area provided as project open space and (f) is the number of floors present,
planned or permitted. Unfortunately, (f) is an inadequate description of mass and
open space S reports quantity with little indication of context that changes
with mass and height. In the second, intensity is predicted as the gross building
area in square feet per buildable acre available. It is a definition of mass
and intensity that leaves context to the imagination and may be too detailed
for leadership application.
Ideally, an intensity index would indicate the massing,
intensity, and context present, planned or predicted. This has led me to search
for another option, but first I’d like to explain some terms for first-time
readers.
Definitions
Figure 1 illustrates terms such as gross land area GLA, net
land area NLA, unbuildable land area UNB, buildable land area BLA, and core
land area CORE. Unbuildable areas include, but are not limited to, excessive slopes,
ponds, wetlands and unstable soil. They represent scenery that does not reduce
the intensity of the buildable land area inhabited. They are excluded from
intensity calculations because inclusion produces a lower intensity value that
distorts the habitable conditions created. In other words, buildable land area
is equal to net land area minus unbuildable area as shown in Figure 1. All
intensity calculations are based on this logic to convey a better indication of
the habitable conditions present, planned or predicted. In mathematical terms, BLA
= NLA – UNB and buildable area is available for core area development and
project open space BLA = S + CORE. The core area calculated is available for
parking cover and building cover CORE = PCA + BCA. The percentage of open space
S provided within the BLA offsets core area development and defines two-dimensional
site plan balance.
Figure 1: Site
Plan Naming Conventions
Building mass emerges from building cover within a core
area. It combines with two-dimensional development cover and is offset by
project open space S to create three-dimensional context within a buildable
land area. (Think of mass as a glass volume that encompasses all detailed
architectural form and appearance with a simple geometric shape. Architectural
features are sculpted from the volume defined like a sculptor releasing form
from a block of marble.) From a planning perspective, MASS = GBA = (BCA * f). A
massing index indicates the relationship of building mass to buildable land
area Mx = GBA / BLA. An intensity index indicates the relationship of building
mass to project open space Ix = Mx / S, and context has an inverse relationship
to building mass Cx = 1 / Mx. In the Cx equation, context begins with a project
open space percentage allocation S that is part of the massing equation. The
benefit from constant S declines as mass increases with height in the core area.
This is more clearly explained in the derivation to follow.
Derivation
Given:
MASS = GBA
GBA = f * BCA
These are conventions
adopted for architectural massing calculations when the sky-plane requirements for
high-rise buildings are not a factor. Sky-planes will be addressed later.
When gross
building area GBA in square feet is divided by the buildable land area BLA in square
feet, the result is a massing index Mx that is a multiple of the BLA. It is
similar to a floor area ratio FAR, but the divisor is based on buildable land
area rather than total land area. This more accurately reflects the intensity
created within a habitable land area.
Mx = GBA / BLA
Since GBA =
f*BCA and BLA = CORE + S
Mx = ( f * BCA)
/ (CORE + S)
The values f and
S are design specification values entered with others in the design
specification template of a forecast model. (See Table 1) Building cover area
BCA and core area CORE are calculated from these values, along with other
fundamental design implications. A massing index Mx summarizes the gross
building area GBA impact on the buildable land area occupied. It is expressed
as a multiple of BLA and reflects the implications of all design specification
values entered.
Architectural
intensity is the relationship of building mass to project open space. An
intensity index Ix can be created by dividing a massing index by the percentage
of open space provided S at grade. The intensity value increases as massing
increases since increasing mass exerts increased pressure on the constant open
space allocation. This pressure is also expressed as a multiple of BLA.
Ix = Mx / S
Open space
benefit drops when mass increases and open space remains constant. The result
is context decline that has an inverse relationship to the mass introduced. The
Cx index expresses this phenomenon as a multiple of BLA that declines as Mx and
Ix multiples increase.
Cx = 1 / Mx
In other words,
mass and intensity are functions of the values entered in a design
specification template. Their index equations summarize the results with values
that are multiples of the buildable land area BLA. Context declines as mass and
intensity increase. This inverse relationship is defined by the Cx value that
is also reported as a multiple of the buildable land area involved.
Discussion
Composition indices can be particularly helpful when
attempting to document the decline in open space benefit produced by increasing
building mass and height on the same property. For instance, the “Skyscraper”
section of this essay shows how a 20% open space allocation can decline to a 1.4%
percent benefit when adjacent to a 200 story building, and this doesn’t take present
and future population and traffic into account.
Tables 1 -4 present some examples of massing, intensity and
context indices produced by design specification values. Table 1 calculates
these indices based on the values entered in the CG1L forecast model. This
model represents buildings with grade parking lots around, but not under, the
building in non-residential land use areas. Table 2 calculates massing,
intensity and context indices for a residential apartment building using the forecast
model RG1L. Table 3 calculates these indices for a single family zoning table. Table
4 calculates them for a high-rise building using a modified version of CG1L.
Massing, intensity and context indices summarize an architectural
composition of mass, pavement and space. The summary pertains to the design
category represented by the forecast model chosen. The values entered in its
design specification template produce development capacity, or intensity,
options summarized by these composition indices.
Tables 1–4 demonstrate how composition indices are forecast.
They can also be measured at existing locations for comparison with their broader
physical, social, psychological and economic implications; but we have not
begun the process. This puts us at a level of awareness equal to those who first
experimented with blood pressure. They lacked a diagnostic history, but began
to record their readings and correlate the conditions observed. Architecture
and city design can benefit from the example.
Mass and intensity can easily dominate public benefit, which
has been referred to as its health, safety and welfare. When project open space
at grade is zero private benefit is served by the building, but public benefit
declines to a margin of sidewalk served by a modicum of light, air and
ventilation in the public right-of-way. The right-of-way benefit is then reduced
by growing populations and traffic attracted to the adjacent real estate
investment. This is covered in more detail under “Right-of-Way”, but it points
to a refined version of the simple truth mentioned earlier. Mass and intensity
are offset by open space context. A paucity of context produces oppression
while excess produces sprawl.
Examples
Table 1 presents a prediction of massing GBA options based on
the forecast model CG1L and the values entered in its design specification
template. Project open space is entered as 30% of the buildable land area. The
design premise for this model is a grade parking lot surrounding, but not
under, the building(s). A range of values for f is entered in its Planning
Forecast Panel. Values for BLA, GBA, and BCA are calculated and presented in
its forecast panel by the model’s embedded equations. Mx, Ix, and Cx results
are calculated from these predictions in the last three columns. They can also
be calculated for existing projects by taking field measurements for BLA, GBA,
BCA, S and f.
The massing range Mx predicted in Table 1 for one to four
story building options is 0.25 / 0.381 of the buildable land area BLA. The intensity
range Ix is 0.833 / 1.171 times BLA and the context range Cx is 4 / 2.85 times BLA.
The context values describe a decline from 4 / 2.85 as building mass and
intensity increase with height. (Tables 1 – 4 are presented at the end of this
essay to avoid interruption.) A context decline from 4 to 2.85 is not tragic,
however. It indicates that the context benefit from a 30% open space specification
is still 2.85 times BLA . The massing range from 0.25 to 0.381 times BLA is still
a modest fraction. This indicates that the intensity increase from 0.833 to
1.171 times BLA is well within tolerable limits.
Table 2 is based on the same design premise and open space
provision of 30%, but contains a different design specification template for
apartment buildings. It indicates that the massing range for one to four story apartments
is 0.43 / 0.84 times BLA. The intensity range is 1.2 / 2.8 times BLA and the
context range is 2.35 / 1.19 times BLA. This shows a similar decline in context
benefit from 2.35 to 1.19 as mass increases from 0.43 to 0.84 times BLA. Intensity
also increases from 1.2 to 2.8 times BLA. All of these readings, however,
indicate benign massing, intensity and context relationships.
In Table 3, buildable land area BLA is equal to the minimum
lot size permitted per dwelling unit in each zone. It shows that a rather
typical single family zoning ordinance permits a massing range of 0.15 / 0.625
BLA; an intensity range from 0.167 / 1.250 BLA and a context range from 6.667 /
1.60 BLA. The massing index range (0.15 to 0.625 BLA) indicates that gross
building area is a fraction of the minimum lot area required in each zone. The
low end of the intensity range (0.167 BLA) indicates that intensity is also a
tiny fraction of BLA while the high end (1.25 BLA) indicates what is presently
considered a rather small detached single-family residential lot. The high end
of the context range (6.667 BLA) indicates that open space benefit is 6.66
times BLA for a 3 acre lot. The low end (1.60 BLA) indicates that project open
space benefit remains greater than BLA for a 9,000 sq. ft. lot. This highlights
the desirability of low density residential massing while also explaining the contribution
of high context values to excessive sprawl.
Table 4 includes the unique characteristics of skyscraper
sky-plane requirements. It is based on 20% open space and all other design
specification values entered. A more detailed explanation will follow; but for
now, Table 4 predicts that a 50 story skyscraper will produce a building mass equal
to 31.6 times the buildable land area BLA, intensity equal to 158 times BLA,
and context equal to 0.0316 times BLA. It also shows that a 100 story
skyscraper will produce mass of 50.7 BLA, intensity of 254 BLA, and context of 0.0197
BLA. Common sense is again confirmed. The context range of (.0316 / .0197 BLA) declines
as the massing range of (31.6 / 50.7 BLA) and the intensity range (158 / 254
BLA) increase.
As I mentioned, these readings are like blood pressure
without medical research. They provide an accurate picture, but the physical,
social, psychological and economic implications of these readings remain to be
determined.
In summary, Tables 1-4 indicate that when design
specification values remain constant; increasing building height increases mass
and intensity while context benefit declines. These relationships are charted
in Figure 2 based on Table 1 statistics.
Figure 2:
Relation of Massing and Intensity to Context
Project context is inversely proportional to mass and intensity
on a given buildable land area. This does not take street width, traffic type,
traffic volume and surrounding intensity into account. These factors are controlled
by the decisions of others, but they are part of the public issue I’ve referred
to as city design. City design intensity is equal to the sum of its parts. Shelter
intensity is one part that is equal to the sum of individual architectural projects.
These have independent and collective social, psychological and economic
implications. This may help to explain how architecture contributes to city
design; why I’ve used the term “architecture of city design” in some essays; and
how independent architectural decisions must be woven together with project
open space contributions to avoid dissonance.
Rights-of-Way
Right-of-way width is the foundation for public context
within the public domain. Many of these rights-of-way are consumed by traffic
volume and supplied with minimum standards of light, air, and ventilation. In
some cases these rights-of-way are more than one-hundred years old and growing
populations have become compressed along narrow ribbons of sidewalk reduced by
increasing traffic volume and degraded by its pollution. This brings the entire
concept of dual-purpose rights-of-way into question -- if it ever existed as a
balanced concept in the first place.
The public interest is again involved. The building mass,
context and intensity created along these rights-of-way can trap populations in
corridors too congested to serve their original purpose, let alone a combined
purpose. We are all familiar with this road named Decline and it is a city
design topic for another day. In simple terms however, we cannot afford the
continued belief that hospitable cities are woven together with movement
systems.This is a utilitarian point of view that ignores the environmental
consequences of sprawl and the human consequences of foreign objects within the
urban anatomy.
Our quality of life is woven together with public and private open space. The combination of shelter and open space is served by its movement and life support systems. Service has had priority over shelter in the name of progress, but increasing awareness will lead us to equalize these priorities as we continue to search for a symbiotic future.
Our quality of life is woven together with public and private open space. The combination of shelter and open space is served by its movement and life support systems. Service has had priority over shelter in the name of progress, but increasing awareness will lead us to equalize these priorities as we continue to search for a symbiotic future.
Skyscrapers
A measurement system must be able to accurately measure the
entire spectrum of possibilities. This applies to all systems from decibels and
voltage to metric commodities. In architecture and city design, the measurement
range extends from low density residential subdivisions to high density
skyscrapers, but density has been an inaccurate measurement tool producing
random leadership results.
To test intensity measurement at the skyscraper end of the
spectrum, I modified forecast model CG1L and expanded the design specification
template to reflect the unique “sky-plane” responsibilities of this building
type. This unique requirement deserves a brief history.
The skyscraper emerged as a capacity multiplier during the
troubled times of the tenement. Social reform searched for the soul of free
enterprise and substituted regulation. It actually became necessary to specify
that light, air and ventilation could not be obstructed by the private
construction of tall buildings. Freedom, in this case the freedom to dominate,
was an inevitable defense; but the public interest could not be ignored.
Increased setbacks were required for increased height to permit light and air
to reach the right-of-way. The modern ziggurat, or wedding cake building,
emerged in response along the street canyons of mega-cities. The setback
regulation was called a “sky-plane”. Building form has become more
sophisticated along with regulation, but the policy remains the same. It
specifies that the public has a right to light, air and ventilation, but
inducement must be offered to augment a right-of-way under pressure from the
land use activity spawned at street level.
I have adopted a simple pyramid concept for this example
similar to the Transamerica Pyramid in San Francisco and have modified Table 1
to reflect the number of sides and the slope involved. Two rows have been added
to the bottom of its design specification template for this purpose. The first
asks for the percentage reduction in area per side for each additional floor in
height. This is the slope of the pyramid face. The second asks for the number
of building faces involved. In this case I have used four sloping sides with a
total reduction in floor area of one percent per floor. Calculation is based on
the assumption that each slope begins at ground level. Each floor of massing
potential intersects the sloping plane and potential area per floor is calculated
on this basis.
This is a definition of development capacity expectations,
not building form. Remember that massing is an imaginary glass enclosure. Its purpose
is to establish massing and context parameters for detailed architectural
definition. The forecasts in Table 4 define these parameters.
Figure 3:
Transamerica Pyramid
Table 5 summarizes the predictions in Table 4 and
illustrates the classic relationship between massing and intensity on one hand
and context on the other. A ten story building with a 20% open space allocation
declines in context benefit to 13.7% BLA. A 200 story building declines to a
1.4% BLA benefit while massing and intensity steadily increase. It is up to us
to determine the course between this modern day Scylla and Charybdis.
Table 5: Massing,
Intensity and Context as Multiples of BLA from Table 4
Summary
Table 6 summarizes the massing, intensity and context
pressures forecast for each example used in Tables 1-4. They have been produced
by values assigned to the design specification topics that pertain to each
forecast model mentioned. The alternatives to these predictions are infinite
because of the scope of topics, the scope of values that can be assigned to
each topic, and the anatomy of the topics involved.
Table 6 indicates that empirical observation can be confirmed
with an accurate measurement system. Architects understand that the benefit
from a given open space allocation declines as additional building mass
increases the pressure, or intensity, imposed. I’ve called the level of benefit
“context” and suggested a method of measurement to quantify observation and
build knowledge. The goal is to replace subjective terms like
“over-development”, “pleasing’, and “pastoral” that cannot lead growing
populations toward symbiotic natural relationships.
Table 6: Massing,
Intensity and Context Summary for Tables 1 – 4
In architecture, pressure is called “intensity”. Table 6
indicates that pressure can be measured with three readings that I’ve called composition
indices. Like blood pressure, these readings indicate the current state of
health for a far more complex anatomy, but blood pressure has a frame of
reference. Architecture and city design have yet to adapt a method of composition
measurement that can place subjective observation into an objective research
system.
If you look at any horizontal row in Table 6 you will see
that context declines as massing and intensity increase with building height when
all other design specifications remain constant. If you look at a column, however,
you will see the influence of separate design specification templates. The
increase in massing, intensity and context is not a consistent increase from
single-family homes to high-rise buildings because these templates contain
different topics related to their specific land use family and design premise.
In other words, the columns show a trend toward declining context as mass and
intensity increase with land use family and design category, but there are too
many design specification topics and values in each category to make this more
that a trend among categories. In other words, a corporate office in a park
could have a better context reading than a single family detached home on a
6,000 square foot lot with 50 feet of frontage because of the different design
specification values involved. Building additions would then increase these
mass and intensity readings as the context reading for each declines.
In summary, medicine has learned to correlate blood pressure
with the health of an anatomy that is a gift. We are now attempting to
interpret the health of an environment that is a gift, and we have imposed
cities to shelter growing populations on and in this gift. Science would recognize
these cities as a parasite facing extinction because there is no “land without
end” just as there is no flat earth. The gifts we have been given demand correlation
and the next level of awareness will come to grips with the scope of our
responsibility. The more common term for correlation is “adaptation”. If a species
does not adapt it faces extinction from internal competition and external exposure.
It is an inevitable outcome of failure, and we have been given a gift that
enables us to adapt with the design decisions required for correlation. Science
has named mutual benefit “symbiosis” and it is a worthy goal for our next level
of awareness.
I have tried to resist ending with a musical analogy; but the
composition indices of massing, intensity, and context are too tempting. If a
city is an orchestra, its instruments are forecast models in the DCE
collection. Each instrument has three strings; one for each of the three
composition indices mentioned. Finger placement on these strings is defined by the
values entered in the instrument’s design specification template. Sound is a
function of the template, the instrument and the musician. A symphony is a
correlation of templates, instruments, and musicians. Acoustics is an environmental response. If you find a composer to
be a mystery and his composition a riddle within an acoustic enigma, the challenge to create urban
symphonies within symbiotic cities surrounded by environmental judgment should
become apparent. Less is known, more is expected and relief by
escape from the auditorium is an illusion.
Postscript
Some may
have noticed that the Derivation section of this essay explained that:
Mx = GBA / BLA, or
Mx = ( f * BCA) / (CORE + S), and
Ix = Mx / S
The value S in the extended Mx
equation helps to express a simple numeric relationship between development
capacity GBA and buildable land area BLA. The result Mx
expresses capacity as a multiple of the buildable land area but does not explain
the declining benefit from a given project open space allocation as building height,
mass and capacity increase.
When increasing mass Mx reduces the benefit from a given project open space allocation,
the result is an increasing level of intensity Ix.
The opposite is also true. Increasing project open space S decreases the intensity from a given building mass Mx. This theorem has been expressed with the equation Ix = Mx / S.
The value S in the Ix equation is a percentage of the BLA that cannot exceed 99.99%. As the percentage increases and Mx remains constant, intensity Ix declines. A value of S = 100% is a park without building mass and the entry should produce an error message. A value of S = 0.0% is a building without project open space, but the value defaults to 0.0001% because zero would produce the lowest rather than the highest intensity reading when no project open space is provided.
The value S in the Ix equation is a percentage of the BLA that cannot exceed 99.99%. As the percentage increases and Mx remains constant, intensity Ix declines. A value of S = 100% is a park without building mass and the entry should produce an error message. A value of S = 0.0% is a building without project open space, but the value defaults to 0.0001% because zero would produce the lowest rather than the highest intensity reading when no project open space is provided.
Table 1: Massing,
Intensity and Context Summary for CG1L Design Premise
Table 3: Massing,
Intensity and Context Summary for Single-Family Detached Residential Design
Premise
Table 4: Massing,
Intensity and Context Summary for Hi-Rise Design Premise