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Wednesday, September 9, 2026

CITY MASTER PLANS

A community is rarely capable of forming the city planning strategy required to achieve more than limited tactical success, but community participation has become a political response to competing opinions that lack convincing arguments but attempt to demonstrate a majority presence. This is not meant to imply that government has better answers at the present time. It is about an attempt to focus on the knowledge that must be assembled and the tools that must be adopted to develop at least one path to more convincing arguments.

A master plan for city development has had public health, safety, and welfare improvement goals. Welfare has been the most nebulous term. It implies physical, social, and economic improvement that has been partially successful at best in my opinion.

Physical welfare has involved shelter, movement, open space, and life support construction in both the Urban and Rural Phyla of a Built Domain that continues to sprawl by consuming its source of life, agriculture and the Natural Domain.

Health and safety master plans seem to have been most successful when compared with the physical results that many associate with the term “master plan”. Physical plans have had the goal of land use compatibility defined by zoning district boundaries and design regulations. Compatibility, however, has struggled with the definitions of shelter capacity, intensity, intrusion, and context. The result has often been excessive intensity at one end of the shelter spectrum and sprawl at the other.

(Previous readers may remember that I prefer the term “activity” to “land use” because it does not confuse the shelter capacity of land represented by building mass with its occupant activity. They are distinctly different topics, since the shelter capacity of land may be occupied by any permitted activity. Shelter capacity decisions are the foundation for all ensuing physical, social, and economic design results.)

Both master plans and zoning laws have been incapable of guiding physical results toward shelter for the activities of growing populations within geographic limits defined to protect their quality and source of life. This, in my opinion, is the goal we need to pursue with physical master plans, urban design, and zoning regulation. Predicting the capacity, intensity, and economic implications of physical design decisions may begin to give us the arguments needed to chart a more convincing course with a mathematically inter-active master plan.

ECONOMIC IMPLICATIONS

The growth, decay, death, and survival of cities is a function of the total revenue generated by taxable activity on parcels within its boundaries. When this activity requires shelter, the revenue produced is influenced by the floor quantities present and the square feet of shelter capacity, intensity, intrusion and context created for the activity or activities. The revenue produced is a function of the square feet occupied by the activity and the real estate value involved. There are other revenue sources, but this is a simplified example. In all cases, the revenue produced on a parcel or parcels is a function of the buildable acres occupied and the shelter intensity present. The results from a single project are only one contribution to the revenue needed, however. The average revenue per acre from all taxable parcels must equal or exceed a city’s total annual cost of administration, maintenance, improvement, and debt service per taxable acre.

A  city’s parcels are cells in an organism served by arteries of movement and life support. I wish I could add arteries of open space, but this is a dream, not reality. My point is that this organism is alive because we inhabit the parcels I have just referred to as cells, and these cells are multiplying with annexation and sprawl in search of revenue that continues to elude their grasp over time. This is happening, in my opinion, because we do not understand the mathematical relationships between land, shelter capacity, activity, intensity, and intrusion that combine to produce physical, social, psychological, environmental, and economic quality of life under the umbrella terms “welfare” and “context”. (Previous readers may remember that “shelter capacity, intensity, intrusion, and context” are measurable using the forecast models and equations of urban design.)

The revenue performance of every taxable parcel within a city’s boundaries is known, but the information is contained in separately controlled silos. This currently prevents correlated modeling with the relational databases and geographic information systems needed to evaluate and monitor a city’s economic performance. Some information is privileged, but it can be aggregated by block, tract, or zone to reveal the productivity of a city’s land use allocation without revealing personal information.

Greater attention to a city’s shelter capacity and economic productivity is needed. In other words, a city must learn before it can begin planning. It is a challenge that can only be met with more sophisticated data cooperation, geographic information systems, shelter capacity evaluation, zoning guidance, and inter-active urban design leadership.

HISTORY

A master plan’s original intent was to improve a population’s health, safety, and welfare by addressing its physical, social and economic deficiencies. This has since been expanded by some, and contested by others, to include its psychological, environmental, and ecological deficiencies. The problem is that a city’s physical presence represents fixed investment and social attachment that has a difficult time adapting to change.

All of this began long ago with the incompatible and unregulated proximity of shelter activity, mass, and movement in cities. Private investment compromised public access to light, air, and ventilation while also producing unhealthy and unsafe buildings. In the 20th century, minimum design standards and relationships were established in reaction to excessive compression, unhealthy sanitary conditions, unsafe building practices, and excessive fire hazard. Minimum standards were written to avoid the claim of excessive regulation, but the focused scope has been inadequate to deal with the problem of continuing growth on a planet with limited land area and resources. We have adopted tactical solutions to a strategic threat that requires more knowledge and new mathematical tools for evaluation and guidance.

We have had no models capable of easily anticipating optional solutions to the demand for shelter from growing populations within limited geographic areas. We continue to depend on annexation of limited resources to satisfy this demand.

Two inventions were created to deal with a physical master plan’s limited ability to adapt to change. The first attempted to deal with the plan’s inability to correlate population growth with shelter demand within established geographic limits. Annexation became a legal solution and the result has been “”sprawl”. It continues to consume agriculture and the Natural Domain.

The second invention dealt with the lack of mathematical correlation among zoning ordinance requirements. Compliance was achieved with a “variance” concept that attempted to reconcile conflicts among requirements with compromise using the concept of public review and approval of the contradictions encountered.

Neither expedient can lead us toward a sustainable, symbiotic future. We need an interactive anatomical model that can react to mathematical experimentation without damaging the patient. The tools of data science and geographic information modeling exist, but they are not correlated with the revenue information and shelter capacity prediction needed to understand the cellular economic fundamentals at the heart of a city’s physical anatomy and financial security.

Shelter capacity to accommodate the growth of population activity has been addressed with the legal concepts of rezoning, redevelopment, eminent domain, and annexation. Consuming agriculture and the Natural Domain to expand the Built Domain seems to be a continuing preference, but it has been short-sighted.

I doubt that many will disagree that change requires adaptation to prevent extinction. In this case, however, we are dealing with a cellular anatomy that requires guidance before it consumes its source of life. This anatomy has been thought of as property, but we inhabit these cells that we call lots or parcels; and they are multiplying through annexation to produce dual threats we have labeled “sprawl” and “excessive intensity”.

Property value has been determined by the marketplace and considered an investment decision, but the concept has been one-sided. If we cannot predict the revenue a cell can provide in this artificial organism, we will not understand how to ensure the survival of a limited urban anatomy containing these cells.

Growth has been considered an investment decision. The public revenue needed to sustain growth has had little comparable mathematical attention. This is where shelter capacity evaluation enters the picture. It can predict gross building area options for a given land area based on the building design category chosen and the design specification values entered in the category’s forecast model. These values are correlated by the model and its master equation to produce gross building area options per buildable acre (shelter capacity options). They can be multiplied by anticipated occupant revenue per square foot, to determine the anticipated revenue per acre occupied. These predictions can be compared to a city’s total annual expense per acre to evaluate the revenue performance of a proposal, and the sum of these predictions can be used to guide future development decisions, but I emphasize the word “average”. Not all projects will produce revenue per acre that equals or exceeds a city’s annual expense per acre.

The revenue performance of an existing master plan can also be evaluated with shelter capacity measurement, prediction, and evaluation. This is the information a city needs to begin understanding the performance of its anatomy and the economic development prescriptions needed to improve its health, safety, and welfare.

NEXT STEPS

The tools of data science and geographic information systems exist, but they are not correlated with the real estate tax, income tax, and related revenue information needed to understand and evaluate the cellular economic performance of a city’s financial anatomy.

A city’s economic performance is a function of the building design categories and design specification values that produce shelter capacity and intensity for occupant activity and revenue performance on each parcel within a city.

City planning that cannot measure, predict, evaluate, and monitor revenue potential at the cellular level of its anatomy will continue to consume its source of life with annexation in a frustrating search for economic stability. Improving the shelter capacity and revenue potential of a city’s land area is only the beginning, however. Our cities affect our physical, social, psychological, environmental, ecological, and economic quality of life at the very least. These topics exist under the category “welfare” in my opinion and improvement is affected by the urban design context created by our shelter capacity decisions. We have only begun to build the tools needed to predict the implications of these design decisions. The tools we create will determine the knowledge we can apply to a sustainable challenge we must anticipate and cannot ignore.

ADDENDUM

In other words, we must learn to survive without consuming and polluting our source of life and its dependents.

FURTHER INFORMATION

Further information about the building design categories, design specification topics, prediction panels, and implication modules of shelter capacity forecast models can be found in my book, “The Equations of Urban Design”, using the following url:

https://www.amazon.com/-/e/B001IR3ODO?ref_=pe_584750_33951330

You may also be interested in some of the 285+ essays on my blog at www.wmhosack.blogspot.com. They address topics related to the use of shelter capacity forecast models and their implication measurement modules.

Walter M. Hosack, September 2026

photo credit: NASA

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