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Thursday, October 16, 2025

Shelter Design Specifications and Affordable Housing

 

The values entered in the design specification template of a building design category forecast model determine the gross building area, shelter capacity, intensity, intrusion, and context implications that will be produced. This standardized format of classification, measurement, and comparison can contribute to shelter design knowledge and leadership over time.

A building design category is a generic form of shelter that may be occupied by any permitted activity group. The area may also assume any architectural form or style. The design specification topics and algorithms for each category vary, but the format and subtraction leading to the core area remaining for building and parking cover remains the same. Master equations have been derived to predict the gross building area, footprint, and shelter capacity, intensity, intrusion, and context implications of the remaining core area based on the specification values entered. A change to one or more of the specification values entered produces a new implication predictions.

Research and evaluation of the results produced by building category forecast models can build the knowledge needed to identify the physical parameters that define what we have called “quality of life” or “health, safety, and welfare”.

Activity groups occupy generic building design categories. The residential activity group has been led by density measurements. The non-residential group has been led by the floor area ratio. Both measurements define limitations but do not lead the design specification decisions that produce shelter capacity, intensity, intrusion, and context within the cities we inhabit. The results have too often been shelter sprawl and excessive shelter intensity expanding across the face of a limited planet expected to serve an expanding population. At least one contributing factor has been the lack of a consistent building classification system and design specification format capable of measuring, predicting, evaluating, and building knowledge about the physical design decisions needed to shelter our social and economic activity within geographic limits.

BUILDING DESIGN CATEGORIES

The gross building area potential of a given land area is a mathematical function of the building design category chosen. There are only six when classification is diverted from architectural period and style to the parking system used to serve a building. This classification makes the mathematical prediction of gross building area options for any given land area feasible.

In my opinion, the accurate calculation of shelter demand and capacity is the only way to limit the Built Domain and protect our source of life, the Natural Domain, from excessive pollution and encroachment. I’ve mentioned building design category classification on many occasions but will repeat it here since shelter capacity is a mathematical function of the choice. The six categories are:

(G1) All buildings served by surface parking around, but not under, the building on the same premise, excluding land reserved for future expansion.

(G2) All buildings served by surface parking around and/or under the building on the same premise, excluding land reserved for future expansion.

(S1) All buildings served by adjacent parking garage levels, spaces, and auxiliary surface parking that consume a portion of the core land area on the same premises, excluding land reserved for future expansion.

(S2) All buildings served by an underground parking garage within the buildable land area of the premises, and auxiliary surface parking area, excluding land reserved for future expansion.

(S3) All buildings served by a parking garage below the building, and auxiliary surface parking within the core land area of the same premises, excluding land reserved for future expansion.

(NP) All buildings without surface or structure parking on the same premises.

I have included a seventh non-habitable building design category in my book, “The Equations of Urban Design” to address remote, stand-alone parking garage design options.

(PG) All buildings used as independent parking structures on separate lots or parcels, excluding land reserved for future expansion.

GENERIC SHELTER CAPACITY FORECAST MODELS

A generic building design category may be occupied by any permitted activity. However, the characteristics of some activity groups require modification of the design specification topics in a forecast model. A forecast model related to the Residential Activity Group will be introduced as an example after this discussion.

The shelter capacity of a building design category varies widely depending on the values entered in the design specification template of its forecast model. This can be explained by examining the design specification topics and values entered in the modules of Table 1. They apply to the G1 Building Design Category, but the concept is universally applicable even though the topics may be adjusted to suit some categories and occupant activity groups.

Land Module

The shaded cells on lines 3-20 of Table 1 identify value entry locations in a typical Land Module. They are used by embedded template equations to lead from the gross land area given in cell F3 to the buildable land area calculated in cell F10, and the remaining shelter land area in cell F17. A review of the module will reveal the subtraction used to arrive at the land area available for shelter introduction in cell F17.

I’d like to draw special attention to the unpaved open space specification (OSAU) in cell F11. It has often been ignored by design standards, but determines the building compression of space introduced. In addition, the remaining impervious cover percentage is identified by subtraction in cell F12, and must be accommodated by the storm sewer capacity present or proposed.

Core Module

Subtraction of shaded cell values and calculation continues in cells F23-F32 to find the core land area (CORE) available for building and parking cover in cell F33.

Planning Forecast Panel

The core value calculated in the Core Module of Table 1 is the final value needed by the master equation in cell B39 to calculate gross building area options (GBA) in cells B44-B53 of the Planning Forecast Panel. These alternatives are a function of the floor quantity options entered into shaded cells A44-A53.

I’d like to draw special attention to the estimated parking and circulation area per space (s) entered in cell A35 and the building sq. ft. permitted per parking space (a) entered in cell A36 since they combine with the unpaved open space percentage entered in cell F11 to influence the remaining land available for a building floor plan or “footprint” and the ensuing gross building area potential produced by the floor quantity options entered in cells A44-A53.

I should remind you that Table 1 is related to the G1 Building Design Category. Gross building area options are a function of a building category choice and the design specification values entered in its design specification module.

Gross building area alone is a value within a spectrum of options that vary with the design category chosen and design specification values entered, but it doesn’t indicate the implications involved. These are calculated in the following module.

Implications Panel

The shelter capacity implications of a set of design specification values and gross building area results in cells A44-A53 are measured in column F of the Implications Panel, based on the equation in cell F43. Intensity, Intrusion and Context implications are measured in columns G, H and J based on the equations in cells G43, H43 and J43.

Correlation and Comparison

The correlation of design specification decisions produces gross building area predictions and shelter capacity, intensity, intrusion, and context implications. Density is a product of these correlated decisions. It does not lead them or define their desirable parameters. A

t the present time a review of implication calculations, or measurements, is like staring at the first blood pressure readings. It took a great deal of measurement, observation, correlation, and collaboration over time to build the knowledge needed to define healthy parameters.

ACTIVITY GROUPS

Table 2 addresses the G1 Building Design Category when it is occupied by the R1 Residential Activity Group. This group includes all single family detached residential homes on recorded lots. The design specification template of Table 2 includes Lot, Pavement, and Building Modules containing 24 shaded cells that require value entries.

The Table 2 design specification format has been chosen to show hat the density entered does not lead the decisions required in the remaining 23 shaded cells. It simply defines the minimum net lot area calculated in cell G5, which is substantially below that used for current single-family lots. Based on correlation of the other values entered in the shaded cells of Table 2, the Planning Forecast Panel predicts that a two-story home, excluding garage, could equal 1,016 sq. ft. in cell B43. It does not predict, however, that a satisfactory floor plan and building elevation can be produced on the lot size defined in cell G5.

The point is that the home area results produced in cells B41-B49 are not a function of the density requirement. The most significant factors were the unpaved open space percentage entered in cell F13, the pavement requirements entered in cells F17-F20, and the garage requirements entered in cells F25 and F26. Any or all of these values could be adjusted to produce different home area results that would affect the shelter capacity, intensity, intrusion, and context implications calculated in the Implications Panel.

AFFORDABLE HOUSING

I didn’t choose this example as an illustration of current residential subdivision aspirations. I chose it to illustrate the mathematical correlation of design specification decisions required to clarify leadership intent regarding shelter capacity direction, and to illustrate the design decisions involved with affordable housing; since I believe it comes down to the cost of the land area devoted to each dwelling unit, the square foot area and cost of the dwelling unit, and the open space that remans to relieve the intensity introduced. This does not mean that these physical design decisions will be considered compatible with adjacent land use decisions, patterns, and property values. It is simply meant to explain the physical, mathematical decisions involved so they can be carefully examined.

PS: REPEAT FROM “PURSUING URBAN DESIGN KNOWLEDGE”

“Gross building area can be occupied by any permitted activity. Its internal capacity for activity varies with the specification values entered in a companion activity group template. The addition of an activity group template to a building category forecast model correlates the predicted gross building area options for land with each option’s internal capacity for the activity based on the specification values entered in the companion activity group template. The results have economic potential related to the scope of activity predicted within the gross building area options predicted.

I’ve illustrated the building design category-activity group relationship with the Residential Activity Group of specification templates in several previous essays. A more complete presentation is included in my book, “The Equations of Urban Design”.

Shelter capacity results have social, psychological, environmental, and economic implications that remain to be correlated with measurement and evaluation that can lead to knowledge regarding the quality of life implied by measurable alternatives.

Currently the Shelter Division of the Built Domain is served by Movement, Open Space, and Life Support Divisions in both the Urban and Rural Phyla of a Built Domain that is currently a parasitic threat to the Natural Domain. This threat cannot be addressed with debate over the details of independent, conflicting zoning regulations that require arbitrary adjustment, or land use master plans that depend on annexation of agriculture and the Natural Domain to address budget deficiencies based on land use activity and shelter capacity misallocation.

Shelter capacity evaluation is a measurement language capable of evaluating options and guiding decisions toward the goal of shelter for the activities of growing populations within limited geographic areas designated and designed to protect their quality and source of life, the Natural Domain. It is simply a classification and measurement language that can be used to pursue research and define conclusions capable of consistent context leadership, however.

The Latin word for shelter, roof, or cover is “tegimen”. I pronounce it “tejimen”, even though this may offend Latin scholars, and would like to suggest the word “Tegimenics”, “Tegimenistics”, or “Tegimenology” as a label for those interested in pursuing the issue of shelter capacity and quality of life for growing populations in limited geographic areas on a planet in a universe that expects us to anticipate its unwritten Law of Limits. It is a language intended to give a quantitative voice and credible support for emerging but also ancient topics many refer to as urban design or city design with roots in architectural design.”

PSS: REPEAT FROM SEVERAL EARLIER ESSAYS

“I self-published “The Equations of Urban Design” on Amazon.com in 2020 to summarize and improve my work in three previous books entitled, “Land Development Calculations”, editions 1 and 2 published by McGraw-Hill in 2001 and 2010, and “The Science of City Design” self-published on Amazon.com in 2016. They represent my continuing effort to explain the site plan allocation that precedes architectural design, urban design, city design and landscape architecture. It is the quantity allocation of building cover, parking cover, pavement, unpaved open space, and floor quantity in a site plan that determines shelter capacity options, context, and quality of life in mathematical terms equal to the leadership debate involving private enterprise and architecture, landscape architecture, government, city planning, real estate law, zoning regulation, and economic development. The mission is to establish a consistent leadership language for shelter debate and land consumption decisions on a planet that does not compromise with failure to anticipate.

I also maintain a blog entitled, “Cities and Design” at www.wmhosack.blogspot.com that began in September 2010. It currently contains 260+ essays for anyone interested in following the topic. The more recent essays are also included on LinkedIn.”

Walter M. Hosack, October 2025

Sunday, October 5, 2025

Planning, Economic Development, Urban Design, and Government

 


Economic development will continue to be a strategy based on hope until a city can correlate its annual expense per taxable acre with the annual revenue it receives per acre from every taxable parcel or block, tract, and zone within its boundaries. At this point it will be able to correlate its average expense per taxable acre with the average yield per taxable acre it requires to deliver a desirable quality of life within its boundaries. It is rather obvious that “desirable” will remain a political question as well as a financial issue; that “within” can only be answered by scientific evaluation; and that both will be subject to unstable popular opinion that Jefferson debated with the term “self-evident”.  

At this point public leadership will have the information needed to pursue an economic strategy based on data science and Tegimenic analysis of shelter capacity, intensity, activity, and revenue options at the level of financial analysis, strategic planning, and urban design visualization needed to shelter growing populations within geographic limits defined to protect both their quality and source of life, the Natural Domain.

Walter M. Hosack, October 2025

Wednesday, October 1, 2025

Unlimited Land Consumption for Shelter on a Limited Planet

This is not a world without end nor a land without end. It is a world with an unwritten Law of Limits that requires anticipation to avoid natural intervention. My concern has been the growth of shelter for activity across the face of our planet without a leadership language capable of meeting anticipated demand within geographic limits that protect and preserve our source of life, the Natural Domain. This challenge cannot be met without a correlated mathematical ability to measure and predict the shelter capacity of land. It is the only way to maximize its potential in limited areas without compromising our quality of life with excessive intensity, in my opinion.

Shelter capacity in the Built Domain is gross building area in square feet per buildable acre of land assigned to the project. It can be produced by any one of six building design categories and their related template specification decisions. The gross building area options resulting from these specification decisions produce measurable shelter capacity, intensity, intrusion, and context implications within a spectrum that ranges from excessive land consumption and low shelter intensity to minimal land consumption and excessively high shelter intensity. Consistently desirable quality of life parameters within this intensity spectrum have yet to be mathematically defined for each building design category and occupant activity group.

If you have read my book, “The Equations of Urban Design”, available from Amazon.com; or any of my 260+ essays on my blog at www.wmhosack.blogspot.com; or some of the more recent essays posted on LinkedIn, you know that the mathematical language of Shelter Capacity Evaluation is represented by forecast model templates related to six building design categories that encompass the shelter options in use today. The values assigned to their template specification topics represent the language used to predict gross building area options with a master equation related to the category. The predicted options have shelter capacity, intensity, intrusion, and context implications that are produced by their conversion equations. Comparison and evaluation of these measurements can produce transferable knowledge and precise, consistent guidance. This is the leadership language of Tegimenics and the science of Tegimenology needed to defend urban design proposals within sustainable geographic limits.

Unlimited growth is not an option on a limited planet.

DEFINITIONS

I’m including the following definition of terms I have used that may be unfamiliar to those who haven’t read my previous essays.

Buildable Land Area (BLA)

Buildable land area is gross land area minus unbuildable areas, existing areas to remain, future expansion areas, public roads, easements, and other unnamed set-asides.

Shelter Capacity (SFAC)

Shelter capacity is gross building area in square feet per buildable acre, except for buildable land area reserved for future expansion.

Tegimenics

Tegimenics is based on the classification of all buildings into six shelter design categories. The language is represented by design category forecast models, design specification topics related to each model, algorithmic correlation of the values entered, and master equations using correlated specification values to predict:

1)      Gross building area options for a given land area. This includes the mathematical shelter capacity, intensity, intrusion, and context implications of the options for evaluation and comparison.

2)      Buildable land area options for a given gross building area. This includes the mathematical shelter capacity, intensity, intrusion, and context implications of the options for evaluation and comparison.

Tegimenology

The study of shelter capacity, intensity, intrusion, and context measurements within the urban and rural phyla of the Built Domain. The intent is to determine template specification options for building design categories and occupant activity groups that can produce desirable shelter capacity, intensity, and context for growing populations within limited geographic areas. Think of these as optional quantity recipes for the urban design composition of shelter space, place, and form within sustainable limits.

Appearance will follow to symbolize the level of knowledge being acquired.

Walter M. Hosack, October 2025


Photo by chensiyuan - chensiyuan, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=14872516