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Sunday, April 30, 2023

HOSACK BLOG INDEX 10.9 - 23.4

 I thought it might be helpful to publish a complete list of my blog essays to date as one complete document for ease of reference. The essays in italics were written after publication of the collection in “Symbiotic Architecture”. The italicized titles are only available on my blog and on Linked-In. Some, but not all, of the earlier titles are available on Linked-In. SEE 25.6 UPDATE

Walter M. Hosack

Year/Mo/Order


10.9.1

Replacing Density

10.9.2

The City is a Farm

10.10.1

Examining Architecture Part 1

10.10.2

The Disorganized Zoning Ordinance

10.10.3

The Limits of Shelter Capacity

10.11.1

The Variance Contradiction

10.12.1

Land Use Plans & Ponzi Schemes

11.1.1

Hidden Implications of Design Decisions

11.1.1

Strategy is Missing from Economic Development

11.2.1

A Tool for Containing Sprawl

11.4.1

Design Specifications & Shelter Intensity

11.4.2

Parking Lot Design Implications

11.5.1

Dwelling Unit Design Implications

11.6.1

Measuring Design Excellence - Sullivan & Wright

11.7.1

The Symbiotic City

11.8.1

Symbiotic Architecture

11.9.1

City Design for Economic Stability

11.10.1

Citizen Participation is not Leadership

11.10.2

City Design with Space

11.10.3

Design for Survival

11.10.4

Education

11.10.5

Education Preamble

11.10.6

Pitch and Catch

11.10.7

Predict Shelter Options within Limited Built Domain

11.10.8

Protecting the Planet

11.10.9

Talent and Leadership

11.11.1

A New Language for Architecture & City Design

11.11.2

Strategic & Tactical Architecture

11.12.1

Improving Arguments for Architecture & City Design

11.12.2

A Tool for Containing Sprawl

11.12.3

An Overlooked Threat to the Family of Man

11.12.4

Conceptual Design & Architectural Scope

11.12.5

Land is a Critical Design Element

11.12.6

The Public Benefit of Architecture

12.1.1

City Design Synopsis

12.1.2

City Design-Urban Design-Architecture

12.1.3

Context, Capacity & Intensity

12.1.4

Examining Architecture Part 2

12.1.5

Form Follows Invention

12.1.6

Logic & Knowledge in Design

12.1.7

Parking Variances - A Glimpse into the Future

12.1.8

Population and Intensity

12.1.9

Questions About City Planning & Architecture

12.1.10

Recalling Michelangelo

12.1.11

Shelter, Survival and Design

12.1.12

Sustainability

12.1.13

Vitruvius Revisited

12.2.1

A Common Imperative

12.2.2

Intensity is Measurement for Survival

12.2.3

The Problem w City Planning

12.2.4

What is Architecture?

12.3.1

Introduction to Intensity

12.3.2

Recalling Linnaeus

12.3.3

The Symbiotic Goal

12.4.1

John Muir & Architecture

12.4.2

Response to the Problems with City Planning

12.4.3

Taking the Pulse of Architecture

12.5.1

First Prority of Architecture

12.6.1

Architectural Education Dialogue Part 1

12.6.2

Architectural Education Dialogue Part 2

12.6.3

Architectural Education Dialogue Part 3

12.6.4

Core Issues Parts 1-2 Szymanik Inquiry

12.6.5

Five Categories of Architecture

12.6.6

Harnessing Architectural Curriculum Pt 1-2-3

12.6.7

The Other Architectural Puzzle CG1B

12.7.1

Criticism, Questions & Ideas

12.7.2

Relevance

12.7.3

Replacing the Floor Area Ratio

12.7.4

Seriously

12.7.5

The Significance of Gross Building Area

12.8.1

Searching for Answers

12.8.2

Shelter, Space & Intensity

12.9.1

Plan with Architectural Intensity

12.10.1

The Influence of Design Decisions

12.10.2

Quantifying Intuition

12.11

The Built Domain

13.1.1

Problem Solvers

13.1.2

The Many Faces of Architecture

13.3.1

Free Enterprise & Architecture

13.4.1

Symbiotic Knowledge

13.5.1

Sound Bytes from Architecture

13.6.1

Commentary - Part 1

13.6.2

Leadership & Design

13.9.1

The Design Decisions That Matter

13.9.2

The Greatest Invention

13.10.1

Repositioning

13.11.1

Fundamental Questions

14.1.1

Sustainability & First Ring Suburbs

14.1.2

To the Philippines & Malaysia

14.1.3

Traffic Lights

14.2.1

Scoundrels in Law

14.4.1

Tacit Knowledge

14.5.1

Reply to Tacit Knowledge Comment

14.11.1

A Plan Review

15.1.1

Lesson from the Duomo

15.1.2

Reconsidering Architecture

15.1.3

Two Questions with Follow-up

15.2.1

A Fork in the Road

15.2.2

Architectural Practice and Profession

15.2.3

Comments Worth Pondering

15.2.4

Survival

15.3.1

Design Leadership

15.3.2

Two Question Follow-up

16.7.1

Advertise The Science of City Design

16.7.2

Excerpts from The Science of City Design

16.7.3

The Science of City Design

16.8.1

City Planning & Design Basics

16.8.2

Repeating Success

16.9.1

Pop-up Urban Projects

16.9.2

Shaping the Future With Opinion

16.9.3

Urban Renewal

16.10.1

Removing the Blindfold from Economic Development

16.10.2

The Human Scale

16.11.1

Land Use & Urban Form

16.11.2

Power, Policy & Planning

16.12.1

Architecture, Agriculture & Planning

16.12.2

Graduating from The Floor Area Ratio

17.1.1

Restoring the Health of Cities

17.2.1

Arguing for a Science of City Design

17.2.2

Strategic Architecture

17.2.3

Surface Parking Limits on Shelter Capacity

17.2.4

The Concept

17.2.5

Updating a Comprehensive Plan

17.3.1

Adapting Our Cities to Reality

17.3.2

Improving the Influence City Planning & Design

17.4.1

Addendum to What is Architecture

17.4.2

Townhouse & Apartment Density Exposed

17.5.1

A Cautionary Comment

17.6.1

A Debate Over Architectural Beauty & Taste

17.7.1

Grenfell Tower

17.7.2

Replacing Density - Updated

17.7.3

Zoning Conflict & Opportunity

17.8.1

Competing to Consume

17.8.2

Core Area Restrictions on Shelter Capacity

17.8.3

The Future of Cities

17.8.4

Understanding a Building Footprint

17.9.1

Leading Shelter Capacity, Intensity and Context Results

17.9.2

The Future of Shelter

17.10.1

Comparing Shelter Des Decisions 11.4rev

17.10.2

G1.R1 Single-family Detached Home Dilemma

17.12.1

Reply to Architectural Criticism

18.1.1

An Expanded Role for Architecture

18.1.2

Architectural Capacity & Shelter Intensity within a Limited Built Domain

18.2.1

The Least a Smart City Should Know

18.3.1

Elected & Appointed City Planning & Design Decisions

18.3.2

Facing Reality on a Finite Planet

18.3.3

Open Space Metric

18.6.1

Learning to Lead the Formation of Cities

18.7.1

Visualizing the City

19.1.1

Correlating Economic & Real Estate Development

19.3.1

A Question from Kabul

19.3.2

Back Cover

19.4.1

Planning Our Presence

19.4.2

Response to Bill Gates re Land Consumption

19.5.1

Shelter Design Basics

19.6.1

A Collision of Architectural Opinion

19.6.2

Shelter Sprawl

19.8.1

Unstable Land Use Allocation

19.9.1

Larry Discussion

19.10.1

Benefit of Land Use-Urban Form Correlation

20.3.1

A Farmer Knows More

20.4.1

Density and Covid-19

20.4.2

Planning with Economic Development Homework

20.8.1

Zoning Design Specifications

20.10.1

Contributing Knowledge

20.12.1

Measuring the Intensity of Place

21.2.1

Design Decisions that Determine Apartment Density

21.3.1

Design Decisions that Determine Single-Family Detached Housing Density

21.3.2

Design Decisions that Determine Townhouse Density

21.4.1

Design Decisions that Determine Single-Family Subdivision Density

21.7.1

Land Use & Development Capacity Correlation

21.8.1

Shelter, Sprawl, and Survival

21.10.1

The Equations of Urban Design

21.12.1

Not Published - Architecture - Fine Art

22.2.1

Concerning Our Presence on the Planet

22.3.1

The Consequences of City Design Decisions

22.7.1

Urban Design

22.8.1

A Scientific Approach to Zoning Plan Review

22.9.1

Shelter Capacity

22.12.1

The Land We Take for Granted

22.12.2

Confronting Sprawl with an Adequate Language

23.1.1

Interpreting the Planet's Law of Limits

23.1.2

Zoning Plan Review

23.2.1

Annexation

23.2.2

The Public Policy - City Design Disconnect

23.2.3

The Implications of Shelter Capacity Design Decisions

23.4.1

The Decisions Needed

23.4.2

The Pattern of a Master Plan

Friday, April 14, 2023

The Pattern of a Master Plan

 A plan is a pattern. Building mass emerges from


a plan and produces perceptible physical intensity on the land occupied. Mass is gross building area in square feet for occupant activity. I’ve referred to the square foot quantity of gross building area introduced per acre of buildable land as shelter capacity and intensity that can be measured and predicted. Capacity and intensity combine with activity to produce public revenue per buildable acre. In other words, the majority of municipal revenue produced in most cases is a function of the shelter capacity, intensity, and land use activity allocation options chosen for every acre of buildable land within the shelter division of a master plan.

THE SHELTER DIVISION

A city plan that does not convey the shelter capacity, activity, and intensity correlation required to provide adequate average revenue per buildable acre within its municipal boundaries will manage its budget over time through a rear view mirror as a consequence. At some point in time this guesswork faces one of two options: (1) annexation of undeveloped land and sprawl for new revenue that again becomes inadequate over time -- when land is available. This option leads a city to slowly consume its source of life in pursuit of the correlation it cannot calculate and monitor; or (2) redevelopment of land within a fully developed, encircled city with no annexation potential. This unpopular alternative remains its only method of revising existing shelter capacity, intensity, and activity allocation to increase the revenue needed to reverse decline and improve its quality of life.

It is not difficult to understand that shelter capacity in square feet of gross building area per buildable acre times the revenue potential of occupant activity per square foot will yield revenue potential per acre for a given activity. Unfortunately, land use allocation for activity has not been correlated with the shelter capacity and intensity potential of land to produce revenue per acre ratios equal to a city’s total annual expense per acre. The inevitable result involves public service reduction.

The building category classification, design specification templates, and master equations needed to measure and predict these options now exist, but the information gathering and evaluation procedures needed to support this effort with an increasing foundation of knowledge remains unassembled.

I’m not aware of any city with the correlated information management systems, relational databases, measurement protocols, shelter classifications, forecast models, predictive equations, and assessment program needed to undertake the knowledge accumulation required to support the level of city design suggested, but I am no scholar.

The effort hasn’t been that important because land has been considered a commodity “without end” that can be purchased, granted, or converted with few restrictions prior to the 20th century. We are slowly beginning to realize that land is actually a source of life that can be consumed. This has made preservation a greater concern, but we have not begun to accurately predict the land use, massing, and intensity correlation needed for economic stability within a limited Built Domain designed to protect our quality and source of life.

This has led me to argue that we must improve our understanding of the shelter capacity of land; the occupant activity ratios required for economic stability; and the intensity options needed to serve growing populations within limited land areas that do not threaten their quality of life; since every acre we consume for shelter to survive is an acre we remove from our source of life.

In other words, the square feet of gross building area per acre and the revenue it produces per square foot of occupant activity determines the contribution of the acre to the total annual cost of city services per acre. To be successful, city design must accurately provide ratios of shelter capacity, intensity, and activity that combine to produce average revenue per buildable acre equal to a city’s average cost per acre to provide a desirable quality of life -- without the physical handicaps associated with excessive intensity, intrusion, physical dominance, and sprawl.

In summary, the building design categories and equations of city design produce shelter capacity / intensity options defined by the values entered in their design specification templates. The gross building area options produced have been generically referred to as building mass options.  The massing ratios of shelter capacity, intensity, and activity adopted for every buildable acre in a city represent its recipe for economic stability. I have mentioned these in my previous essay and will avoid repetition here.

The organization of massing ratios has been variously referred to as urban design, place-making, urban texture, urban composition, landscape architecture, site planning, architecture, and so on. For the most part, these terms have been land owner focused, project-oriented, and concerned with initial construction cost and profit potential. Public revenue has been a remote or nonexistent consideration.

THE MOVEMENT DIVISION

I’ve referred to movement in all its forms as a division of the Rural and Urban phyla of the Built Domain. It serves the Shelter Division. I am not referring to movement systems that connect these domains and cannot help traversing the Natural Domain.

Movement systems have served as a framework for the color identification of land use categories in master plans. I’ll have to admit that I have always wondered about the justification for the land use quantities and intensities proposed for these activities, since inadequate economic contribution over time can often prompt requests for annexation and/or redevelopment as city expenses and populations increase.

A master plan often focuses on its movement pattern. The pattern serves as a guide for the land use allocation of shelter capacity, intensity, and activity based on concepts of compatibility, but these are concepts that have often contributed to budget deficiencies and sprawl.

Movement systems have been encouraged to penetrate agriculture and the Natural Domain to serve growing populations. This has had to occur before the land use quantities required for shelter capacity, activity, intensity, economic stability, and quality of life within a limited Built Domain could be accurately predicted. Sprawl has been an inevitable symbol of the lag between civil engineering and city design leadership.

The mathematical foundation for measurement, evaluation, prediction, knowledge accumulation, and leadership of the Shelter Division has had to depend on instinct, intuition, talent, and opinion. The result has been an attempt to respond to market demand without an adequate frame of reference. The result has often been sprawl. Redevelopment has rarely been accepted as a reasonable alternative when agriculture and the Natural Domain are not available for annexation. In this case, decline becomes a greater possibility.

THE OPEN SPACE DIVISION

I’ve referred to public and institutional open space in all its forms as a division of the Rural and Urban Phyla of the Built Domain, and as another essential artery supporting life in this abstract world. Unfortunately, it has often become pockets of relief and an expression of charity. Its role as a vital artery providing life support to the populations of both the Natural and Built Domains at all levels of scale remains to be acknowledged with a scope that can make the difference.

THE LIFE SUPPORT DIVISION

I will continue to refer to this division as an artery. It includes all above and below ground services required to serve the power and utility demands of the other divisions in the Built Domain. I am not referring to the methods of acquisition and production of energy currently under great scrutiny in the Natural Domain. I am only including it as an essential division of the Built Domain that has great significance and deserves adequate correlation within the urban pattern, texture, and composition being considered within a limited Built Domain.

CONCLUSION

Private sector special interest cannot be expected to plan or predict the public interest in adequate revenue and quality of life within limited areas; or the extent of the Natural Domain that must be protected as our source of life. The health, safety and welfare of a population remains an issue, however. The dimensions of concern have simply expanded and the leadership language required must improve in response.

Tuesday, April 4, 2023

The Decisions Needed to Shelter the Activities of Growing Populations Within a Limited Built Domain

 

If you agree that we need shelter to survive on an unstable planet, and that the Natural Domain is a source of life that must be protected, then the remaining question concerns the land area that must be devoted to the Natural Domain; and the Built Domain area that remains to accommodate shelter for the activities of a growing populations seeking a desirable quality of life. I will leave this question to others far more qualified to answer.

My objective is to explain the tools needed to measure and predict shelter capacity and intensity options for any limited land area, given the assumption that the Built Domain cannot continue to expand and consume its agricultural land and the land of the Natural Domain indefinitely. This is the knowledge we will need to more accurately consider the shelter potential of any land area in any designated Built Domain.

Shelter begins as building mass we call gross building area. Gross building area produces shelter capacity, intensity, intrusion, and dominance that can be measured and predicted. Gross building area may be occupied by any activity and molded to achieve any appearance. The more fundamental point is that gross building area per buildable acre, or shelter capacity, combines with occupant activity to determine the scope of revenue potential per buildable acre; but excessive intensity can undermine the quality of life desired. Different activities produce different revenue quantities per square foot. This means that revenue per buildable acre is a function of the gross building area, shelter capacity, intensity, and activity introduced. The combinations combine to form neighborhoods, districts, cities, regions, and so on; but cities have not had the information management systems, predictive algorithms, and development control needed to reconcile the productive capacity of municipal land per acre with the annual expense per acre required to deliver all desired services. At this point, the debate over “essential” services begins in every city hall facing budget cuts.

The gross building area introduced per acre of buildable land area occupied is referred to as shelter capacity. The shelter capacity of a cell, or land area, is a function of the building design category chosen and the design specification values entered in its forecast model. Shelter capacity decisions have intensity, intrusion, and dominance implications that can be calculated, evaluated, and predicted at the cellular level of shelter formation.

It helps to recognize that gross building area is a universal measurement; that gross building area divided by the buildable acres occupied is a measure of shelter capacity; that shelter capacity can be occupied by any activity; that shelter capacity can be used to measure or calculate the physical intensity, intrusion, and dominance present or planned; that physical intensity produces a host of social, psychological, environmental, and economic implications; and that the intensity planned for activity within the Built Domain contributes to the physical, social, and economic relationships established.

Built Domain Classification

Built Domain classification begins with its urban and rural phyla. It continues with the shelter, movement, open space, and life support divisions within each phylum. The shelter division contains the building design categories listed in Table 1. This relatively limited list can be occupied by any activity group we currently refer to as a land use category. The separation of building design category and capacity from land use activity serves to explain a relationship that can be correlated to produce a desired economic yield per acre when shelter capacity forecasting is available.

The specification topics related to each building design category represent the initial language of shelter capacity design. I will introduce Table 2 as an example in a moment. The values assigned to the shaded values in a forecast model represent the parameters being considered to lead all ensuing design decisions. These values define the gross building area options under consideration. The intensity, intrusion, and dominance implications of these decisions are also calculated in each forecast model to permit the evaluation required to build knowledge and establish leadership direction.

Building Design Categories in the Shelter Division

Building design category classification begins with the parking system under consideration. The parking decision, including a “no parking” option, defines the building design category under consideration, since the parking system is directly related to the gross building area that can be created on a given land area. There are a number of variables involved in addition to parking as you will soon see, but the principal determinants of shelter capacity prediction are the core buildable area available, the building design category, parking requirement , floor quantity, and unpaved project open space percentage being considered.

Design Specification Values

When building classification is based on the parking system involved, the number of potential building design categories is limited. This makes measurement and mathematical prediction of gross building area and shelter capacity options for all categories feasible in a short period of time – when using design specification values in the spreadsheet format of a forecast model. It is, after all, shelter capacity, intensity, and activity that must be economically correlated on every acre within municipal boundaries to protect its quality and source of life. The social, psychological, environmental, and economic implications of these predictions will remain unknown until evaluated by many related but currently independent professions. This means that independent professional observations can be correlated with the design specification values involved. Sprawl has failed to achieve this correlated goal, even though it may produce immediate economic benefit that proves temporary over time.

Forecast Model Example

I’ve introduced Table 2 is an example of a forecast model I’ve introduced many times. It pertains to the G1.L1 predictive model. This is shorthand for a forecast model that applies to all buildings served by a surface parking lot around, but not under, the building (G1) when gross land area is given (L1).

Table 2 is an example of the design specification vocabulary used to measure and/or predict the shelter capacity of a given land area. The shaded areas indicate decision locations for optional value entries that are correlated by the model’s algorithm to produce the gross building area, shelter capacity, intensity, and activity implied. A change to one or more of these value decisions produces a revised template calculation. These shaded value decisions control the formation of cellular capacity for shelter activity, intensity, and revenue within cities.

Core Land Area

I’ve referred to the buildable land area remaining for building cover (footprint) and parking cover on a given gross land area as the core area. It is found through a process of subtraction that begins with the value entered in cell F3. The shaded values entered from cell F4 to F29 are subtracted to find the core area remaining (CORE) in cell F33 and G33. This is a key variable in the master equation noted in cell B39.

The master equation also depends on the parking variables (s & a) entered in shaded cells A35 and A36 and the floor quantity variable (f) entered in shaded cells A44-A53.

Planning Forecast Panel

The Land Module and Core Module variables entered in the shaded cells noted are used to calculate the gross building area options in cells B44-B53 of the Planning Forecast Panel. Additional design information in the panel can be calculated using the gross building area values predicted.

Implications Module

The shelter capacity, intensity, intrusion, and dominance implications of the design specification values entered in the shaded cells of Table 2 are calculated in its Implications Module based on the gross building area options predicted in its Planning Forecast Panel. The implication equations involved are noted on line 43 of the Implications Module.

Conclusion

Table 2 has been included to generally illustrate the predictive format used for all forecast models listed in Table 1. They have all been created to both measure existing design specification values for evaluation of existing conditions and to predict the correlated implications of contemplated design specification values. The concept is similar to our first blood pressure measurements. In the beginning, these measurements were just an idea. The identification, collection, evaluation, correlation, and sharing of measurement and observation began to improve the diagnostic ability of medicine. The measurement and prediction of shelter capacity makes this possible for all the disciplines associated with the evaluation and planning of a Built Domain that must become capable of coexisting with its source of life while ensuring its quality of life within geographic limits.