Effects of Alternative Development Scenarios in the Capital
District
A discussion document prepared
for the Capital District Transportation Committee’s Quality Region Task Force
Working Group A
Capital District Population
Projections & Trends
“Development Scenario 1 –
Status Quo Trend”
Spatial Distribution of
Status Quo Trend
Historic Perspective on Status
Quo Trend
“Development Scenario 2 –
Concentrated Growth”
“Development Scenario 3 – Trend
Hyper-Growth”
“Development Scenario 4 –
Concentrated Hyper-Growth”
Interpreting the Development
Scenarios
Development Scenario 2 –
Concentrated Growth
Development Scenario 3 – Trend
Hyper-Growth
Development Scenario 4 –
Concentrated Hyper-Growth
Future Trends and their
Potential Affect on Development Patterns
Immigration and the
Latinization of the U.S.
Basic Infrastructure
Reinvestment Expenses
The future is already
here; its just not evenly distributed.
- William Gibson
Scenario planning is
intended to prod people to think more broadly and view events with a new
perspective.
- Joel Garreau
The Capital District is a region at a
critical crossroads. With the specter of increased development pressure, the
region is being challenged to assess its ability to accommodate growth in a
sustainable manner. The Capital District Transportation Committee (CDTC), as
part of the “New Visions” plan update, has been examining the regional
transportation/land use issues and policies that directly affect this
sustainability. This report is part of that effort. Its primary purpose is to
explore the population and land use patterns and implications of four different
future development scenarios in the region.
The first development scenario is based
on the Capital District Regional Planning Commission’s (CDRPC) 2040 regional
population projections by Transportation Analysis Zone (TAZ). This scenario is
considered the baseline scenario, as it is what the CDRPC staff considers to be
the most realistic scenario based on historic population and development trends
and existing policies. This scenario will be called “Development Scenario 1 –
Status Quo Trend.”
The second scenario uses the same
regional growth rates as projected by CDRPC under Scenario 1, however the rates
are applied to each TAZ in proportion to their existing population, which has
the effect of constraining the spread of growth in outlying areas and
increasing growth in the existing urbanized areas. This scenario is called
“Development Scenario 2 – Concentrated Growth.”
The third scenario will explore the
regional growth patterns that could result if the region grew at the same rate
of growth as projected for the United Stated as a whole from 2000 to 2040. This
scenario will distribute the growth within each county based on the
proportional share of growth each county is projected to receive under CDRPC’s
baseline projections. The spatial distribution will also be constrained by
density caps and environmental limitations. The general effect of this scenario
is an extensive spread of growth into currently undeveloped areas and minimal
growth in older urban areas. This scenario will be called “ Development
Scenario 3 – Trend Hyper-Growth.”
The fourth and final scenario, similar
to Scenario 3, will explore the regional growth patterns that could result if
the region grew at the same rate of growth as projected for the United Stated
as a whole from 2000 to 2040. However, instead of distributing the growth
within each county proportionate to CDRPC’s baseline projections, the growth in
each TAZ would be scaled in proportion to the overall regional rates of
projected growth. The distribution of growth would be constrained by
environmental factors; however there would be no density caps. The general
effect of this scenario is a large amount of the regional growth would be
concentrated, at higher densities, in the already developed and the newly
developed areas within the region. This scenario will be called “Development
Scenario 4 – Concentrated Hyper-Growth.”
In addition, there are a number of
trends taking shape in the
In May of 2004, CDRPC completed revising
its population and household projections for each of the Region's
municipalities in ten-year increments to the year 2040. The Population
Projection Model implemented involved two distinct stages: a quantitative first
stage using a log-linear regression projection model on historic Census data
and U.S. Census Bureau estimates, and a qualitative second stage using
non-quantitative judgments of the likelihood and extent of future population
change within particular jurisdictions.
The Log-Linear model - so-called because
of its straight-line form when plotted on graph paper that has a logarithmic
scale for X-axis measurements - uses historic population to forecast or project
future population based on a logarithmic curve, which is the best general model
for natural populations.
Log-Linear models when used for
forecasts will project the historic rate of change of the actual data into the
future at a steadily declining rate (i.e., historic growth or decline will
continue, but at a lesser rate). Log-linear models are an excellent basis for
population forecasts because they project average historic rates of change into
the future in a manner consistent with the average changes in natural
populations. While short-term population data will often exhibit some variety
of a saw-tooth pattern when charted, long-term population data usually follow a
log-linear trend.
Historic data by minor civil division
(MCD) for the Region were fitted to individual log-linear models, and the
results proportionally reduced or increased to force the sum of a county's MCDs
to equal the county total.
The projections derived from the
Log-Linear Model provided a basis from which to further analyze the forces that
affect population change in each minor civil division. There are many historic
trends other than simple population which may give an indication of the
direction and extent of future population change, including, but not limited
to, average persons per household, persons in group quarters, building permit
issuances, new home and apartment unit construction, immigration and emigration
patterns, journey-to-work data, and labor force data. In addition, there may be
new development opportunities or constraints for particular jurisdictions
embodied in zoning and subdivision regulations, environmental regulations,
economic development programs, and capital budgets for transportation
facilities and water and sewer service extensions, to name a few. This
information was taken into account in consultation with county and municipal
planners and the projections derived from the Log-Linear Model were adjusted
accordingly.
CDRPC projects a net gain of 90,538
persons and 59,898 households by 2040. The map, “Projected Change in
Population: 2000-2040,” shows this projected net population growth by minor
civil division. This would bring the total population of the region by 2040 to
884,831 persons and the total households to 378,153.
CDRPC then developed a set of population
projections for the Region's 925 Traffic Analysis Zones. The initial TAZ
projections were based on a distribution of projected MCD populations to
Traffic Analysis Zones based on 1990 and 2000 historic distributions of TAZ
populations within each municipality.
Modifications were made to individual TAZ’s
based on the best available TAZ data, including, historic and existing growth
pressure, environmental constraints, available land, available or likely
available public infrastructure, existing zoning, existing planning policies,
average persons per household and persons in group quarters.

The resulting TAZ projections are shown
on the “Development Scenario 1 – Status Quo Trend” map. This “dot density” map
shows the distribution of the new population growth projected from 2000 to 2040
by TAZ (90,538 persons). One dot on the map equals 50 new persons. Areas
without dots are either projected not to grow, or could be projected to loose
population.
The “Development Scenario 1 – Status Quo
Trend” map, along with the “Projected Change in Population: 2000-2040,”
represents the most likely future population growth scenario of those
considered in this report. It is what is projected to occur based on historical
trends and future expectations including development policies presently in
place.
The most salient characteristics of the
distribution of growth projected in the Status Quo Trend are:
·
Of a total projected population growth of 90,538 persons,
65% will be located in Saratoga County (58,850); 24% in Albany County (21,729);
9% in Rensselaer County (8,148); and 2% in Schenectady County (1,810);
·
New development in Albany County will be primarily focused
in Bethlehem, Guilderland and Colonie;
·
New development in Rensselaer County will be primarily
focused in East and North Greenbush, with some spread into Sand Lake;
·
Schenectady County will grow the least of the four
counties, with moderate growth in Niskayuna, Glenville, Princetown, Duanesburg
and the western part of Rotterdam.
·
The eastern, older
parts of Rotterdam adjacent to the City of Schenectady show a loss of
population;
·
Saratoga County will experience the most growth of the four
counties, with particularly large amounts of growth in Halfmoon, Clifton Park,
Malta, Milton, Wilton, and the city of Saratoga Springs. The towns of Ballston,
Stillwater and Moreau will experience comparatively moderate growth, though
high by historic regional standards;

·
The cities of Schenectady, Troy, Mechanicville, Cohoes, and
Watervliet will continue to lose population, while the cities of Albany and
Rensselaer will see little new population growth;
·
The top ten municipalities in terms of net projected
increase in population from 2000 to 2040 are: Halfmoon (11,581), Clifton Park
(8,873), Saratoga Springs (8,675), Bethlehem (7,992), Guilderland (6,919),
Colonie (6,144), Wilton (5,049), Malta (4,640), Milton (4,009), and East
Greenbush (3,545). (Note: The net projected increase in the towns does not
include any villages that may be located within the town).
Land Consumption
The average suburban residential
development density in the Capital District in 2000 was approximately two
persons per acre. This is derived by taking the urbanized area of the region
(according to the U.S. census definition) and removing the high-density city
and village areas, and then calculating the persons per acre of the remaining
urbanized area.
According to CDRPC’s population
projections, 90 percent of the projected population growth (81,097 persons)
will take place in the suburban and rural areas of the region. If we assume
that future suburban development will take place at an average density of 2
persons per acre, then approximately 40,549 acres of land would be developed under the status quo
trend.
The distribution of new persons is based
on historic population and land development trends. In order to better
understand the issues associated with the status quo trend, in addition to
potential issues associated with the other scenarios to be explored, it will be
necessary to summarize the region’s historic development trends, and the
resulting conditions and issues currently facing the region.
From 1950 to 2000, Capital District
population grew from 589,359 persons to 794,293 persons, a net increase of
204,934 persons or 35%.
During this same period, the
fastest growing county of the region’s four counties was Saratoga, which grew
from 74,869 persons in 1950 to 200,635 persons in 2000, a net increase of
125,766 persons or 168 %. Since 1950, Saratoga County has accounted for 61
percent of the region’s population growth. During this period, Albany County’s
population increased by 23% (55,179 persons); Rensselaer County’s population increased by 15%
(19,931 persons); and Schenectady County’s population increased by 3% (4,058
persons).
Between
1980 to 2000, Saratoga County’s population increased by 31% (46,876 persons); Albany County’s population
increased by 3% (8,656
new persons); Rensselaer County’s population increased by .4% (572 new
persons); and Schenectady County’s population decreased by 2.3% (3,391
loss).
During the last census period – 1990 to
2000 – the Capital District population grew by 16,500 persons, or 2.1%. The
U.S. population increased by 13% during this same period. The map “Net
Population Change: 1990-2000” shows the distribution of growth by

One of the most significant features of
the past half-century is the decline in population of the region’s cities. From
1950 to 2000, the city of Albany declined 29% from 134,995 persons to 95,658.
The city of Schenectady declined by 33%, from 91,785 persons to 61,821. The
city of Troy declined by 32%, from 72,311 to 49,170. The cities of Cohoes, Watervliet,
Mechanicville and Rensselaer have lost 30% of their combined population since
1950. The only city to experience population gain in the region was Saratoga
Springs, which grew by 69% since 1950, from 15,473 persons to 26,186.
The following map shows the net regional
population growth from 1960 to 2000.

In 1950, 71 percent of the
region’s residents lived in cities or villages. By the year 2000, that
proportion had dropped to 42 percent.
Historic building permit activity
further underscores this trend. Since 1980, 81 percent of the region’s
residential building permits (per unit) were issued outside of the cities and
villages. The map “Residential Building Permits: 1980-2004” shows the regional
pattern and relative quantity of building permits by municipality. Overall, the
market for new housing in the Region, as evidenced by residential building
permit issuances, has been strong and stable over the last few years, and has
shown significant increases in constant dollar value.


Within the Capital District,
suburban and rural land is being developed at a faster rate than overall
population increases. A study of land development undertaken by CDRPC in 1999,
which analyzed satellite imagery from 1986 and 1997, indicated that during this
period approximately 15,000 acres of land were developed on previously undeveloped land
- a 15.8 percent increase in land consumption. There was approximately a 3.4
percent increase in population during the same period (~26,210 persons), which
means that the region developed land at 4.65 times the rate of population
growth during this period. As a result, the ratio of population per developed
acre was 1.75 persons per acre of new development. A map of this growth, called
“Capital District Suburban Growth 1986-1997” can be viewed at http://cdrpc.org/GrowthPatterns.html.
This trend has also
been documented for upstate New York as a whole. A Brookings Institute study
titled “Sprawl Without Growth: The Upstate Paradox”[1]
analyzed the growth and development trends and population in Upstate New York
and found that:
·
Despite slow
population growth, 425,000 acres of Upstate New York were urbanized between
1982 and 1997, resulting in urban
sprawl in the form of declining density. The total amount of urbanized land
in Upstate grew by 30 percent between 1982 and 1997, while its population grew
by only 2.6 percent, reducing the density of the built environment by 21
percent.
·
Compared with other
Upstate regions, Western New York sprawled less between 1982 and 1997, and
Central New York sprawled more. All Upstate regions have falling population density, but
Western New York's density dropped only 16 percent between 1982 and 1997.
Meanwhile, Central New York—which includes Syracuse, Utica/Rome, and
surrounding counties—urbanized over 100,000 acres even though it lost 6,500
residents, resulting in a 32 percent decline in its density.
·
People, jobs, and
businesses are leaving cities and villages and moving to towns. Upstate cities lost over 40,000 households in the 1990s
alone, while unincorporated town areas gained over 160,000 households.
Businesses have also disappeared from cities while growing in towns.
·
Sprawl hits Upstate
cities hard. City tax bases fell in the
1990s, vacant housing increased, and home ownership slipped. Towns remained
comparatively prosperous.
The
report states that continued decentralization of people and jobs away from
Upstate New York's cities and villages is undermining the economic health and
quality of life of the region. The authors argue that State and local leaders
need to understand that these trends are not inevitable. Explicit state reforms
in fiscal policy, annexation laws, and planning can go a long way toward
fostering a better future for Upstate New York.
The Patterns of Suburban Growth
The dominant pattern of suburban
growth in the Capital District over the last half-century, much like the rest
of the U.S., has overwhelmingly exhibited the following characteristics:
·
Isolated/Unconnected – Most new suburban residential growth has been built as
isolated single-family housing subdivisions dispersed throughout the urban
fringe, in many cases at a considerable distance from existing developed areas
and employment centers. The dominant street patterns of the new residential
developments are curvilinear rather than gridded, and they do not usually
connect to adjacent developments (if there are any); rather, they more often
connect directly to collector roads or highways. This is often the case even
when one subdivision is adjacent to another and/or when a retail store is
adjacent to a residential development. It is more common to see specific
provisions made to prohibit
interconnections using dead-ends (cul-de-sacs), berms, tree buffers, and
fences.
·
Segregated by Use – Following the prevailing “modern” zoning
implemented by many communities over the last half-century, which largely
outlawed mixed-land uses, developments are rigidly segregated by use:
single-family housing subdivisions are separated from apartments, which are
separated from shopping areas, which are separated from offices and employment
centers.
·
Land Intensive – As noted by the Brookings Institute and the CDRPC studies
previously cited, land development has been greatly outpacing population growth
throughout upstate New York. And the developments themselves, housing, retail,
manufacturing and warehousing in particular, take up much more land in both
buildings and parking, than their traditional urban predecessors.
·
Auto-dependant – Developments that are spread out, isolated by design,
segregated by use, and land intensive result in auto-dependency: owning and
driving a car for almost all trips becomes imperative.
Sprawl
development patterns in the U.S. have come under criticism because this pattern
of development is more costly to serve with infrastructure than traditional
urbanism; is unnecessarily wasteful of land; despoils environmental resources,
is socially alienating (separation by class and often race), and is inefficient
for mass-transit service. Metropolitan regions that have experienced large
amounts of sprawl development have suffered from traffic gridlock, air pollution,
water quality degradation, urban fiscal distress, and concentrated poverty, and
therefore, a decline in regional quality of life.
The half-century urban exodus of a
large portion of the region’s middle and upper income residents has resulted in
a regional pattern of distinct racial and income segregation. The region’s
minority population, particularly blacks and Hispanics, are highly concentrated
within the region’s central cities. The percent minority population within the
region is12.4%,
however within the cities of Albany, Schenectady and Troy combined the minority
population is 31%. While the central cities of Albany, Schenectady and Troy
contain only 26% of the Capital District’s overall population, these three
cities contain 64.4% of the region’s minority population. 79.4% of the region’s
black population resided in these three central cities, with 52% in the city of
Albany.
The
concentration of black and Hispanic residents in the region’s cities is
increasing at a higher rate than the overall regional increase in minority
residents. And the exodus of whites from the central cities is increasing
faster than the overall population decline. From 1990 to 2000, the city of
Albany’s overall population dropped by 4,373 persons, yet the city lost 16,041
(-22%) white residents during the same period. A total of 35,526 white
non-Hispanics (17.5%) left the four central cities from 1990 to 2000, while
minority residents in these cities increased by 17,129 persons (49%).
Moreover, these same areas of
racial segregation closely correspond with the region’s highest concentrations
of poverty, and with the region’s oldest housing, highest concentration of
vacant housing, and highest percentage of rental housing. For example, the
overall poverty rate of the Capital District is 9%, while the combined poverty
rate within the cities of Albany, Schenectady and Troy is 22%. The region’s
owner occupied housing rate is 64%; within the city of Albany it is 38%, in the
city of Schenectady it is 45%, and in Troy it is 40%. See maps below and http://cdrpc.org/GIS/2K-Thematic-Maps.html
for more detailed regional thematic maps.


Since 1970 there have been significant
changes in household size and composition in the region that has and will
continue to impact development patterns and alternative housing types. In 1979,
there were 3.04 persons per household in the Capital Region. By the year 2000,
the persons per household declined to 2.40. Though following the same trend,
the reduction in the number of persons per household in the region has been
much more dramatic than experienced at the national and state levels. In New
York State, there were 3.01 persons per household in 1970; by the year 2000
there were 2.62. At the national level, in 1970, there were 3.14 persons per
household; by the year 2000, the ratio was nearly comparable to the State, at
2.61 persons per household. CDRPC projects that the persons per household in
the region will continue to decline during the next 40 years, though at a more
modest rate, to 2.25 persons by 2040.
Another critical factor is
household composition. In 1970, 78.4% of the households in the Capital Region
were considered family households, that is, households that had two or more
related persons living in the same housing unit. The remaining 21.6% consisted
of non-family households, which include either persons living alone or two or
more unrelated persons living in the same housing unit. By the year 2000, only
63.4% of the households in the Capital Region were identified as family
households. Disaggregating the Family Households by Type further reinforces the
diversification of the family unit that has occurred during the last thirty
years in the region. In 1970, almost one out of every two family households
(47.8%) were Married couple with children under 18. By 2000, only one out of every three (33.6%)
was a married couple with children. At the same time, the percent of married couples
without children increased from 38.5% to 42.5% and the percent of family
households composed of a single parent nearly tripled going from 5.4% in 1970
to 14.2% of all family households by 2000. The number of family households in
these types of arrangements is further magnified by the fact that during the
last 30 years there was an increase in the total number of family households in
the region going from 180,600 in 1970 to 201,800 in 2000.
The region’s central cities and
other older communities were hard hit by demographic and economic shifts
accompanying the suburbanization process of the post-World War II period, and
the economic recessions of the past two decades. The changing demographic
patterns in central cities have resulted in an older, less skilled, and
relatively more immobile labor force. Combined with a steadily diminishing
supply of well-paying blue-collar jobs, these changes have created serious
long-term unemployment problems, especially among minority youth. The cities of
Albany, Troy, and Schenectady have all exhibited significantly higher
unemployment rates than those of their corresponding counties. The Central City unemployment rates run 2-3%
higher than the respective county levels.
While the economy of the Capital
District Region has been and remains reasonably well diversified, certain
important industries have continued to decline beyond the last economic
downturn and into the present one as part of an overall restructuring of the
region's economic base. During the last dozen years, the four-county area lost
almost 12,000 manufacturing jobs. The continued loss of manufacturing
employment has been concentrated in the County of Schenectady, while increases
in private non-manufacturing employment were predominantly found in Albany,
Saratoga, and Rensselaer counties. In examining the shifts in manufacturing
establishment totals by average numbers of employees per establishment, it is
obvious that most losses in employment can be attributed to the contraction of
large facilities.
Another aspect of regional
economic restructuring can be found in examining pay scales across industries.
Though expansions in other sectors such as construction, services, wholesale
and retail trade, and finance have usually outweighed the employment losses in
the manufacturing sector, the majority of the jobs in these sectors pay
significantly less than manufacturing.
Shifting employment from
manufacturing industries towards service, retail, and construction sectors,
along with associated differences in salary have added a strong causal element
for a growing labor force. Disparities among pay scales, coupled with increases
in the cost of living (e.g., increasing housing prices, health care costs,
etc.) have, in part, fueled a significant increase in labor force
participation, especially among women (although many women, by choice, want to
be part of the labor force). The
region's female labor force expanded at twice the rate of the labor force as a
whole between 1990 and 2000.
Since the economy of the Northeast
developed earlier than most other regional economies in the nation, key
elements of its physical and economic infrastructure were developed around an
industrial, transportation, communications, and energy technology different
from that preferred or considered necessary today. In many ways, the old
technological base of the Northeast has been deemed unsuitable for the needs of
modern business and industry. The result has been a marked shift in industrial
location away from the Northeast, with the Capital District Region being no
exception
Changes in preference for product
types and material resources have also caused a continuing obsolescence of
machinery at established plants. Such changes, coupled with prospects of
relatively lower wage scales, less stringent regulations, newer infrastructure,
and locational incentives in other regions, have provided common opportunities
for plant closings and relocations.
In addition, many of the
industries, which had historically maintained a strong regional presence due to
past locational advantages, have matured and declined because of a
deteriorating comparative advantage in production relative to other countries.
In a number of cases, market saturation and an ultimate deterioration in demand
for certain durable manufactured products have resulted in the decline of those
manufacturing sectors. The ripple effects throughout the economy have been
amplified by deteriorating backward and forward linkages to what were once
considered "core" industries: a negative multiplier effect.