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| Dwelling unit type and density | Neighborhood Costs | Community Costs (a) | Total Costs |
| SFD, 1 dwelling unit (du)/acre | $33,700 | $25,300 | $59,000 |
| SFD, 3 dus/acre | $17,500 | $25,200 | $42,700 |
| SF Clustered, 5 dus/acre | $10,500 | $25,200 | $35,700 |
| Townhouses, 10 dus/acre | $7,200 | $25,500 | $32,700 |
| Garden Apts., 15 dus/acre | $4,600 | $25,500 | $30,100 |
| High-rise Apts, 30 dus/acre | $2,200 | $13,900 | $16,100 |
| Mix, 12 dus/acre | $6,300 | $30,300 | $36,600 |
(a) includes police, fire, solid waste collection and disposal, library, health, and general government. 1992 dollars in cost/du. Assumes 5 miles distance to employment, sewage plant, water plant, receiving body of water from residential development. SOURCE: Environmental Protection Agency, "Costs of Providing Government Services to Alternative Residential Patterns," report prepared for the Chesapeake Bay Program Subcommittee on Population and Growth, May 1993. | |||
Based on the Costs of Sprawl study, Frank also estimated
the effects of density on the capital cost of community facilities. The
definitions in his review do not coincide exactly with the definitions given
above, so some of the regional facilities are included in community services.
Moreover, distance is held constant. In the figures in table 8-2 (column
3), distance from major facilities is assumed to be five miles. The results
show that the cost of community and regional facilities per dwelling unit
does not vary much with density, the exception being for high-rise apartments.
Another study of community and regional costs was conducted for the state
of Florida. (52) The study was designed to look more closely at community
and regional costs (labeled external costs), rather than neighborhood (or
internal) costs, and at land use and distance relationships (urban pattern),
not density. Moreover, the study approach was to examine eight actual case
study areas in Florida, as opposed to hypothetical developments studied
in much of the previous literature. The study found that compact and contiguous
development is much more cost-effficient than scattered and linear development.
It also found that sign)ficant subsidies exist for the more costly development
(see next section). The case studies were chosen to represent five types
of development patterns:
1. Scattered--characterized by low density that has leapfrogged past
vacant land into a virtually undeveloped area. These areas have few nonresidential
support services and few public services (Wellington and Cantonment case
study areas);
2. Linear--low-density residential and mixeduse development extending
outward from established urban area along major transportation corridor.
This includes decreasing land use intensities and heavy reliance on automobile
access (Kendall Drive and University Boulevard);
3. Satellite--moderate- to high-intensity mixeduse development in
outlying suburban or exurban area with cultural and economic relationships
but physical separation from the established major urban center (Tampa Palms);
4. Contiguous--moderate-density development located adjacent to existing
urban development. This category also includes some mixed land uses, including
non-residential support services and some public services (Countryside and
Southpoint);
5. Compact--high-intensity development in amajor urban area with
vertical development, redevelopment of underutilized parcels, and underused
public facilities (Downtown
Orlando).
Capital and operating costs were examined for the most important community
and regional services. It was found that it was cheaper to provide public
services to the more compact and closer-in developments than those further
out. As table 8-3 shows, the external capital costs for public facilities
per unit are much lower for close-in, compact development than they are
for fringe, scattered, linear and satellite development. Indeed, the cost
of servicing Wellington (a scattered, fringe development) is more than twice
that of servicing downtown Orlando.
TABLE 8-3: Total Community and Regional Capital Public
Facilitiey Costs
(per single family dwelling unit, 1989)
| Rank | Study area | Urban form | Cost |
| 1 | Downtown | compact | $9,252 |
| 2 | Southpoint | contiguous | $9,767 |
| 3 | Countryside | contiguious | $12,693 |
| 4 | Cantonment | scattered | $15,316 |
| 5 | Tampa Palms | satellite | $15,447 |
| 6 | University | linear | $16,260 |
| 7 | Kendall | linear | $16,514 |
| 8 | Welligton | scattered | $23,960 |
| average | $14,901 | ||
SOURCE: James Duncan and Associates, et al., The Search for Efficient Urban Growth Patterns: A Study of the Fiscal Impacts of Development in Florida, report presented to the Governor's Task Force on Urban Growth Patterns and the Florida Department of "Coummunity Affairs, July 1989. | |||
TABLE 8-4: Total Community and Regional Costs for Planned
and Unplanned Development
(per single family dwelling unit, 1989)
| Average of case studies | Average of case studies |
Unplanned versus | |||
under unplanned |
under planned |
planned development | |||
| Category of capital costs | development (a) |
development (b) |
$ |
% | |
| Roads | $7,014 |
$2,784 |
(+) |
$4,230 |
60.3 |
| Schools | $6,079 |
$5,625 |
(+) |
454 |
7.4 |
| Utilities | $2,187 |
$1,320 |
(+) |
454 |
9.6 |
| Other | $661 |
$672 |
(-) |
11 |
1.7 |
| Total | $15,941 |
$10,401 |
(+) |
5,540 |
36.7 |
NOTE: SOURCE: James Duncan and Associates, et al., The Search for Efficient Urban Growth Patterns: A Study of the Fiscal Impacts of Development in Florida, report presented to the Governor's Task Force on Urban Growth Patterns and the Florida Department of Community Affairs. July 1989; Robert W. Burchell and David Listokin, "Land, Infrastructure, Housing Costs and Fiscal Impacts Associated with Growth: The Literature on the Impacts of Sprawl versus Managed Growth," paper, Center for Urban Policy Research, Rutgers University, 1995. | |||||
This same Florida data can be interpreted in a somewhat different way.
If the compact and continuous cases are deemed planned, and the scattered,
linear, and satellite are deemed unplanned then it is possible to estimate
the savings that might accrue from a planned urban form (see table 8-4).
(53) Seen in this way, the Florida data show that planned growth can save
significantly on road costs (60 percent over unplanned) and on utilities
(40 percent over unplanned), and in a minor way on schools (7.4 percent
over unplanned).
Another major state study headed by Robert Burchell of Rutgers University
for the state of New Jersey attempted to calculate the costs associated
with implementing a state plan aimed at concentrating urban development
(known as "IPLAN"), in comparison with the situation if current
development trends continued (a situation labeled "TREND"). The
study examined the two different scenarios representing development under
these plans for several different factors--economic, fiscal, and environmental--from
1990 to 2010. (54) One part of the study examined the relative cost of major
infrastructure for New Jersey over this time period. The findings are summarized
in table 8-5.
Overall, the study found that between 1990 and 2010 planned growth versus
unplanned would require $699 million less investment in roads, or 24 percent
less; $561 million less investment in water and sewer costs, a 7.6 percent
saving; $173 million less investment in schools, 3.3 percent less.(55)
In summary, this work shows that there are savings from higher-density development
that is located near to existing community and regional services. Burchell
and Listoskin (56) summarized the locational costs found in the three studies:
osP, (57) Frank, (58) and James Duncan Associates et al. (see table 8-6).
(59) Table 8-6 shows planned concentrated development saving 25 percent
for roads, 15 percent for utilities, and 5 percent for schools. Coupled
with the savings on the cost of capital facilities derived from higher density,
such as that for townhouses at 10 dwelling units per acre ($7,200) over
single-family three dwelling units per acre ($17,500), there are sign)ficant
cost differences between planned higher-density growth and low-density sprawl
(see table 8-2).
Table 8-5: Summary of Impacts of Planned Versus Unplanned
Growth in New Jersey. 1990-2010
(per single family dwelling unit, 1989)
| Trend versus planned | ||||
| development | ||||
| Growth/development impacts | Trend Development |
Planned Development |
Difference | % |
| Roads | ||||
| Local |
|
|
|
25.8 |
| State |
|
|
|
18.2 |
| Total Roads |
|
|
|
23.9 |
| Utilities-Water |
|
|
|
13.2 |
| Utilities-Sewer |
|
|
|
7.0 |
| Total Utilities |
|
|
|
7.6 |
| Schools |
|
|
|
9.2 |
| All Infrastruture |
|
|
|
9.2 |
Source: Robert W. Burchell and David Listokin, "Land, Infrastructure, Housing Costs and Fiscal Impacts Associated with Growth: The Literature on the Impacts of Sprawl versus Managed Growth. " Paper, Center for Urban Policy Research. Rutgers University, 1995, based on Burchell et al. (1993). "Impact Assessment of the New Jersey Interim State Development and Redevelopment Plan. Report III: Supplemental PLAN Assessment." Apr. 30. | ||||
Table 8-6: Relative Infrastructure Costs of Sprawl and
Concentrated Development
from Three Major Studies
| Infrastructure | Trend | Planned development: findings from three | Planned | ||
| cost category | development | major studies (in percent relative to | development | ||
| unplanned growth) | |||||
| Duncan | Frank | Burchell | |||
| Roads | 100 | 40% | 73% | 76% | 75% |
| Schools | 100 | 93% | 99% | 97% | 95% |
| Utilities | 100 | 60% | 66% | 92% | 85% |
| Other | 100 | 102% | NA | NA | 100% |
SOURCE: Robert W. Burchell and David Listoskin, "Land, Infrastructure, Housing Costs and Fiscal Impacts Associated with Growth: The Literature on the Impacts of Sprawl versus Managed Growth." Paper, Center for Urban Policy Research, Rutgers University, 1995, based on James Duncan and Associates, et al., The Search for Efficient Urban Growth Patterns: A Study of the Fiscal Impacts of Development in Florida. Report presented to the Governor's Task Force on Urban Growth Patterns and the Florida Department of Community Affairs, July 1989; James E. Frank, Costs of Alternative Development Patterns: A Review of the Literature (Washington, DC: Urban Land Institute, 1989); and New Jersey Office of State Planning (OSP), Impact Assessment of the New Jersey Interim State Development and Redevelopment Plan, Report II: Research Findings. Trenton, NJ, 1992. | |||||
Ladd has tackled the question of density and public service costs in
a different way. Using data from 247 U.S. counties, Ladd constructs a regression
model to examine the relationship between public spending and population
density. (60) Controlling for a range of factors that might influence public
spending--such as income, poverty, and number of school students--she finds
that the lowest costs are found at about 250 people per square mile (ppsm),
a predicted public spending rate of $972 per capita (1982 dollars). Below
that density, costs increase to $ 1,111. However, above that level public
service costs rise to $1,153 at a density of 1,250 ppsm, 19 percent more
than the cost at 250 ppsm. Unpredictably, as density rises to 1,750 ppsm,
costs drop to $ 1,040 per capita, but then rise again in the densest counties.
Despite the overall ambiguity of the results, the study suffers from several
other problems. First, as the author points out, the density variable measures
only residential population and not the total number of people placing demands
on the public sector. Ladd notes: "Public sector activities serve people
in their capacity not only as residents but also as employees, commuters
and recreationists. Hence, a complete measure of the costs of different
patterns of development should extend beyond residential patterns alone
to include the public sector costs of the other activities that residents
might engage in." (61) Since employment has not decentralized as much
as population, high levels of employment are found in places with high residential
population densities. By ignoring the public service burden of places of
employment and recreation, the model overestimates the effects of higher
residential density on public spending. Second, the model does not control
for the age of a county's infrastructure. High-density counties are by and
large those with the oldest stock of infrastructure, which increases operating
and maintenance costs. Third, as Ladd points out herself, the model only
accounts for average residential densities, ignoring the impacts of different
development patterns such as compact development surrounded by open space.
Moreover, it is unclear from this analysis if ribbon or leapfrog development
contributes to public service costs or not. Finally, the analysis does not
allow us to know if the greater public service costs of high- density locales,
if such is the case, are subsidized by others.
The knowledge that low-density non- continuous development engenders
greater community and regional costs leads to the next question, "Who
bears the cost of growth?" Do those who live in scattered, fringe development
bear the increased public costs associated with that development, or is
there a cross-subsidy from other parts of society? If so, who pays?
In order to answer the question of who pays, fiscal impact analysis is often
employed to examine the relationship between the public costs of providing
services and the revenues that the development produces. Fiscal impact studies
show that the residential development rarely pays its own way. Burchell
and Listoskin show that only highrise/garden apartments (with 1-2 bedrooms)
and age-restricted (retiree) housing will show a fiscal surplus for a municipality.
(62) Townhouses, expensive and inexpensive single-family houses, garden
apartments (with 3+ bedrooms), and mobile homes will show a fiscal deficit.
Such studies also indicate that commercial, industrial, and farm/open land
are lilcely to contribute more to a local government's tax base than they
cost in services. (63) However, some studies have found tnat even commercial
and industrial uses eventually cost more than they produce in revenue because
they attract added residential development. (64) Witn the realization that
residential development does not cover tne cost of providing services, many
localities now impose charges in the form of developer exactions, which
are passed on to consumers in higher home prices.
There are several problems with fiscal impact analysis and exaction schemes:
First, only some sophisticated exaction schemes fully cover the costs of
providing community and regional services. (65) Moreover, most fiscal impact
analysis and exaction schemes are done on an average cost basis, ignonng
the effects of density and location. As a result, outlying developments
are subsidized by other residents, leading to urban sprawl Thus, the fiscal
drain of outlying development is usually much greater than concentrated
development. For example, James Duncan and Associates (66) calculated the
cost-revenue ratio for the eight developments summarized in table 8-3. Table
8-7 shows that only one produced more revenue than costs, and that the scattered
and linear developments had much lower ratios than the compact and contiguous
developments.
This evidence suggests that sprawl is less li}cely to pay its own way than
more compact development, increasing the demand for leapfrog development.
(67) This conclusion concurs with Frank's assessment that: "In most
communities, costs beyond the neighborhood level are not fully passed on
to the consumer as part of buying a house, whetner those costs are the extra
amount induced by leapfrogging or the normal ones associated with contiguous
development." (68)
Table 8-7: Revenue/Cost Ratios Related to Urban Form
| Rank | Area | Urban form | Revenue: cost ratio |
| 1 | Southport | contiguous | 1.36 |
| 2 | Downtown | compact | 0.90 |
| 3 | Countryside | contiguous | 0.78 |
| 4 | Kendall | linear | 0.62 |
| 5 | Tampa Palms | satellite | 0.45 |
| 6 | University | linear | 0.43 |
| 7 | Wellington | scattered | 0.43 |
| 8 | Cantonment | scattered | 0.41 |
| Average | 0.68 | ||
SOURCE: James Duncan and Associates et al., The Search for Efficient Urban Growth Patterns: A study of the Fiscal Impacts of Development in Florida. Report presented to the Governor's Task Force on Urban Growth Patterns and the Floirda Department of Community Affairs, July 1989. | |||
Second, it is not clear who specifically pays the price for fringe growth.
Most of the cost of community and regional facilities is made up from general
local government revenues, although the impact on different areas and different
income groups within a local jurisdiction is unknown. In some places, such
as the western United States, central cities and suburbs are often in the
same local government jurisdiction, as the city expands by annexing land
for development. As a result, if public service prices are based on average
costs (through exactions) or by general revenues, then taxpayers in the
central part of the city will probably subsidize those on the fringe. One
of ficial of a large western city told OTA that it costs the city $10,000
in additional public costs to service a new house on the urban fringe compared
to serving a new house in the core. Because fringe development is in essence
being subsidized, and core development taxed to pay for it, the likely effect
is to exacerbate sprawl while weakening the development prospects in the
core. (69) In the eastem United States, however, intense local government
fragmentation means that jurisdictions are responsible for providing their
own services. In such areas, the local government collects revenues to pay
for new development, hence there is less chance for subsidization from core
to fringe. If new residents do not bear the full cost, existing fringe residents
and businesses pay the remaining cost of new development, which is a reason
for no-growth movements in many suburbs.
Moreover, some of the costs of these facilities are subsidized by other
local governments or other levels of government (state and federal). Often
these are not taken into account. For example, the Florida study did not
determine the costs of spillover impacts on other local governments in the
metropolitan region. As Burchell and Listoskin note: "Fiscal impacts
are projected for the public jurisdiction(s) where growth is taking place--the
municipality, township, county, school district, and any special districts."
(70) Moreover, state and federal governments also sometimes subsidize this
growth. For instance, the New Jersey study notes that planned growth would
save the state $90 million in road costs over the 20-year study period.
(71) There would also be savings to local government and school districts,
some of which would accrue to the state through a lowering of intergovernmental
transfers. Moreover, the federal government might save on lower transfers
to states and localities to finance highways and water and sewer facilities.
As Ewing notes: "Though less true today, federal funding of waste treatment
systems (and related regulations that led to excess capacity) contributed
to the sprawl of the 1960s, 1970s, and early 1980s." (72)
Finally, fiscal impact analysis focuses on direct costs for municipalities,
ignoring other costs, such as phone and electricity provision, and indirect
costs known as externalities. (See table 8-8)
The pricing of public and private utilities also understates the
costs of providing services to suburban and exurban residents. There are
good reasons for providing such things as telephones, mail, electricity,
and gas at an average cost throughout a metropolitan region: health and
safety and, through having a comprehensive mail and phone system, prevention
of social and economic isolation. Universal service can also lead to overall
economic gains. Although there have been few careful studies of marginal
costs of utility provision in metropolitan areas, the evidence does suggest
that fringe suburban and exurban development is subsidized, (73) largely
because utility and other services are provided on an average cost basis.
Table 8-8: Who Pays?
Resident/consumerdirect consumer (resident/consumer of goods)
indirect consumer (consumer of goods)Local government
residential taxpayer in local jurisdiction of development
residential taxpayer in another local jurisdiction
business taxpayer in local jurisdiction of development
business taxpayer in another local jurisdictioState
state taxpayers
Federal
federal taxpayers
SOURCE: Office of Technology/Assessment, 1995.
Pricing policies for telecommunications services illustrates this. One
regional Bell operating company provided a rough estimate that compared
to the monthly costs of serving customers in the central business district,
it costs twice as much to serve households in the rest of the central city,
and approximately 10 times as much to serve households on the urban fringe.
However, because of Public Utility Commission regulations, all customers
pay the same basic rate for local service. Today, the cost of providing
telephone service to rural areas is $30.9 billion, but rural customers only
pay $22.2 billion, a subsidy of $8.7 billion. An estimate of the cost changes
engendered by the eradication of this subsidy through "deaveraging"
urban and rural customer payments is that urban costs per line would drop
by $3.80 per month, and rural costs would increase by $19.03. Moreover,
if rural users were required to pay the $8.7 billion, the loss of penetration
(those that have service but would not with the additional cost) would be
7.3 percent (though the characteristics of this group are unclear, that
is, if they are the poorest or most isolated). The cost of supplying service
to these 7.3 percent would be $0.7 billion. So the same level of penetration
could be had for a saving of $8.0 billion. (74)
It also appears that electricity, gas, cable TV, commercial delivery service,
and postal delivery likewise cost more for suburban and exurban development,
and are partially paid for by central city and inner suburban customers.
A study conducted in the early 1970s of the additional cost of services
for a leapfrog subdivision over a contiguous subdivision in Lexington, Kentucky,
found that by bypassing five tracts of suitable land the public end private
costs increased by $272,534 per year (in 1973 dollars). (75) Part of the
increase was made up of increased costs of providing telephone service ($13,931),
electricity ($937), mail delivery ($374), and commercial delivery services
($54,677). (See table 8-9.)
Table 8-9: Additional Costs of a 200-Acre "Leapfrog"
Residential Development
Near Lexington, Kentucky
| Service | Total additional costs |
Who paid the additional costs |
per annum (1973 $) |
||
| Water |
|
Consumers, Lexington area |
| Gas |
|
Consumers, Lexington area |
| Telephone |
|
Consumers, statewide |
| Electricity |
|
Consumers, statewide |
| Sanitary sewerage |
|
City taxpayers |
| Refuse collection |
|
City taxpayers |
| Fire protection |
|
City taxpayers |
| Police protection |
|
City taxpayers |
| Mail service |
|
Federal taxpayers |
| School bus service |
|
County taxpayers |
| Commercial delivery service |
|
Consumers, Lexington area |
| Automobile community |
|
Development's residents |
| Bus commuting |
|
60% by consumers, Lexington area |
| 40% by development's residents | ||
| Road and street maintenance |
|
County taxpayers |
| Total |
|
|
SOURCE: R.W. Archer, "Land Speculation and Scattered Development: Failures in the Urban-Fringe Market," Urban Studies, vol. 10, 1973, pp. 367-372. | ||
COSTS OF INDUSTRIAL DEVELOPMENT
Because residential growth does not generally pay its own way,
many jurisdictions compete for industrial and commercial facilities to help
pay for municipal services. Indeed, most revenue impact studies of industrial
and commercial facilities show that they have a strong positive impact on
municipal finances. (76) McDonald et al. have questioned whether this is
true in the long run as new employment attracts new residents. (77) However,
Oakland and Testa more recently found that business development does not
cause tax burdens to rise. (78)
At the local level business subsidies seem logical. Even when such subsidies
are factored in, the fiscal impact on the locality is often positive, although
the field of local economic development is replete with cases where localities
have provided more incentives than they will receive in benefits. The problem
with incentives is two-fold: l) cities and states are increasingly caught
in bidding wars where they must provide higher and higher incentives to
a larger share of companies; 2) these bidding wars disproportionately hurt
central cities and older inner suburban communities.
Moreover, it is one thing for companies to leave the center city to move
to the outer suburbs because land costs or rents are cheaper. Market forces
are operating well here. However, it is quite another thing when financially
well-off suburban jurisdictions provide financial incentives to induce companies
to move out of the city. Though there are many cases where companies would
have moved even without incentives, there are others where the incentives
tip the balance. For example, Brooks Sausage, a minority-owned and largely
minority-employee firm, formerly located in the South Side of Chicago, was
offered significant incentives to relocate its facility to a smaller city
in Wisconsin. It moved and laid off its Chicago workforce.
Even when cities are able to "win" these suburban/central city
bidding wars, the cost can be quite high, particularly for cities struggling
to keep tax rates low or service levels high. For example, New York City
has provided huge incentives to companies to keep them from moving to the
suburbs: these included $235 million to Chase Manhattan Bank; $98 million
to the National Broadcasting Company; $97 million to Citicorp; $85 million
to Drexel Burnham Lambert; and $74 million to Shearson Lehman Hutton. (79)
In the last several years, New York has provided over $362 million in tax
breaks and other concessions to four companies to keep them from moving
to either New Jersey or Connecticut. (80) Moreover, it is not uncommon for
companies to use the threat of relocation as a lever to extract incentives
from financially strapped central city or inner suburban jurisdictions.
For example, one vice president of a large regional bank told OTA that while
the bank was planning to locate a new check processing facility in the downtown,
it was also planning to threaten to locate nearby in an adjacent state in
order to leverage incentives from the city government.
Moreover, state incentive policies, which have grown rapidly in the last
two decades (81) are largely tilted against central cities. States provide
a variety of incentives, including free land, subsidized training, tax breaks,
tax exempt industrial development bonds, low interest loans, and other incentives.
Virtually no states use incentives to target new investment to distressed
areas, particularly in cities. In contrast, because states use incentives
largely to attract new industry to the state or retain existing industry,
they are unwilling to use incentives selectively to steer companies to distressed
parts of the state, urban or rural. Rather, because many companies choose
suburban and exurban locations, these funds simply reinforce that pattern.
For example, the state of Virginia and the city of Manassas, an outer suburb
of Washington, D.C., are providing close to $100 million to a joint venture
by IBM and Toshiba to establish a semiconductor fabrication plant. In some
cases, states, in an effort to keep companies within the state, will subsidize
companies that are moving from distressed central cities to prosperous suburbs.
For example, the state of Illinois provided Sears with $110 million to move
out of the downtown, where a large share of its workforce was central city
residents, to Hoffman Estates, an outer suburb of Chicago with little public
transportation access for potential workers from the central city. Motorola
announced the establishment of a large facility in Harvard, Illinois, some
70 miles from downtown Chicago, and the state will be providing incentives
to the plant. Utilities also provide subsidies. For example, the regional
utility serving Harvard, Illinois, is providing incentives in the form of
reduced power costs to Motorola.
Federal policies also exacerbate this. The federal government lets states
and localities bid for federal facilities. The most famous of these was
the bidding war for the location of the now canceled Superconducting Supercollider.
More recently, the Securities and Exchange Commission located in Washington,
D.C., was offered millions in incentives by Maryland and a suburban jurisdiction
if they moved out of the District. Moreover, in some cases, cities use federal
funds, including HUD community development block grant funds, to lure firms
to their communities. For example, Harvard, Illinois, asked the state for
several million dollars in federal funds to expand sewer lines when it attracted
a new Motorola plant. (82)
Finally, to the extent that suburban jurisdictions attract new business
(thereby decentralizing jobs), suburban employment development indirectly
subsidizes suburban residential development, as well as hurts central city
job opportunities. Clearly, decentralization of jobs has allowed people
to live further from the center of a metropolitan area by keeping commuting
distances manageable for those living on the fringe, and has helped to keep
residential taxes and impact fees down.
It is generally acknowledged that low-density U.S. cities are heavily
reliant on the automobile. Indeed, in U.S. cities only 4 percent of passenger
miles are traveled on public transit versus 25 percent in Europe. And Americans
also travel much more than Europeans in private vehicles. In 1980 Americans
in cities traveled 13,000 km per person in highway vehicles versus 7,400
km per person in European cities. This led to much greater energy use. In
1980 U.S. cities averaged 59,000 megajoules (mj) per capita of gasoline
consumption versus 13,000 mj per capita for European cities. These factors
are in large part related to urban structure. (83) To what extent, if any,
is automobile use subsidized? Does any automobile subsidy subsidize suburbanites,
and how does it compare with subsidies for other forms of transportation
and for residents of other areas?
Hanson argues that improvements in transportation decrease the costs of
living further from the center and hence have sponsored sprawl. (84) Further,
he argues that the costs of providing automobile infrastructure are not
fully priced in the market. That is, automobile use (and hence suburbanization)
is subsidized through government revenues and externalities. This is true
even if one figures in registration fees and use fees. Hanson calculates
that for the city of Milwaukee in 1987, local government general revenues
provided $81 million of the $107 million of direct highway expenditures,
with the remainder coming from state aid. That amount is $133 percapita
and 21 percent of the net property tax burden.
For Madison, Wisconsin, Hanson also calculated indirect subsidies, including
air pollution, water pollution from salt use, personal injury and lost earnings
associated with accidents, land use opportunity costs for land removed from
other uses, and petroleum subsidies. These amounted to a subsidy of $23
million in 1983, twice the direct subsidy (expenditures on road construction
and maintenance, etc.) of $ 11.7 million. He also notes that compared with
the automobile subsidy of $ 105 per capita in Madison, the subsidy of transit
and elderly/handicapped transit is $22 per capita. If state aid is included
the transit subsidy is $57 per capita. (85)
OTA has previously estimated automobile subsidies, including road costs,
free parking, (86) accidents, and the monopsony cost of importing oil. (87)
OTA estimates that accidents cause $30 billion annually in property damage,
medical expenses, and foregone wages that are borne by the non-responsible
party and are not paid by automobile insurance, nor legal redress. (88)
Free parking is a subsidy because it is a tax-free fringe benefit for employees
and a tax-deductible expense for businesses that provide it, (89) Taking
all of these into account, OTA estimates that motor vehicles pay about 73
to 88 percent of the monetary costs of motor vehicle use. If the non- monetary
costs are added, including the externalities: "Motor vehicle users
paid openly for 53 to 69 percent of the social (public plus private) costs
of motor vehicle use, both monetary and non-monetary., excluding the value
of time." (90) Thus OTA concludes: "If subsidies were withdrawn,
externalities 'internalized,' and hidden costs brought out into the open
and directly charged to motor vehicle users, the perceived costs of motor
vehicle use would increase substantially (by 14 to 89 percent, depending
on whether nonmonetary, costs and other factors are included), and people
would drive less." (91)
Another question asked is whether motor vehicle users pay for the public
services they receive (a part of the total cross-subsidization). OTA concludes
that for the nation as a whole: "Motor vehicle users paid for 62-72
percent of public expenditures for highway infrastructure and services not
counting military expenditures." (92) In 1990, they paid $70.3 billion
to $72.3 billion for highway infrastructure and services out of public expenditures
of $98 to $ 115.9 billion.
The Nationwide Personal Transportation Survey (NPTS) of 1990 shows that
households in the U.S. in the central city make fewer trips ( l 8.2 percent
less), make on average much shorter trips (18.8 percent shorter), and travel
far fewer miles by private vehicle (35.9 percent fewer) than people within
the MSA but outside the central city. (93) Actually calculating the cost
of driving by place of residence, however, is extremely difficult. Because
core residents drive less, they may be less subsidized than suburban and
exurban drivers. For example, Newman, Kenworthy, and Lyons (94) in a study
of Perth, Australia, found that gasoline usage increases dramatically the
further away from the center one is (see table 8-10). Assuming that gas
use is closely related to the full social cost of automobile use, fringe
suburban drivers appear to be more heavily subsidized than closer-in suburban
drivers and presumably more than central city drivers. However, because
of the high costs of density and congestion, the cost of one mile of city
driving may be more expensive than one mile of suburban and exurban driving.
(95)
Table 8-10: Gasoline Use By Location in a Metropolitan Area
| Location | Gasoline consumption (litres) |
| Inner suburbs | 737 |
| Middle suburbs |
|
| Outer suburbs | 1164 |
SOURCE: P.W.G. Newman, J.R. Kenworthy and T.J. Lyons, "Transport Energy Use in the Perth Metropolitan Region: Some Urban Policy Implications," Urban Policy and Research, vol. 3, No. 2, 1985, pp. 4-15. | |
Similarly, calculating the costs of transit by residency is also extremely
difficult. Transit is heavily subsidized by local, state, and federal government.
Indeed, in percentage terms, transit is subsidized more than automobiles,
because fares covered only 43 percent of operating costs (in 1990). (96)
However, it might be argued that subsidies to mass transit subsidize suburban
commuters, particularly those commuting to the central city, as well as
city dwellers. Thus, it is unclear what proportion of the annual mass transit
subsidy goes to city dwellers and what proportion goes to suburb and exurban
residents.
Some argue that cities receive large transfer payments from federal
and state governments that more than make up for the implicit subsidies
that go to the outer suburbs and exurban areas to sponsor sprawl. Studies
do indeed show that central cities receive greater intergovernmental transfers
per capita than do suburbs. The Advisory Commission on Intergovernmental
Relations found that in the 37 largest metropolitan areas in 1981 central
cities received $705 per capita, whereas the areas outside the central city
received $451, a ratio of 1.63. (97) Since then the gap between central
cities and suburbs has declined to 1.53 in 1987. (98)
Some of these transfer payments undoubtedly go to subsidize the somewhat
higher costs of infrastructural maintenance and development in the core,
and possibly to more inefficient city government bureaucracies. However,
most of the "extra" money the cities receive from higher levels
of government appears to be a result of the large percentage of poor residents
they contain. Higher concentrations of the poor in the central city place
greater burdens on government than the non-poor, including additional demands
for welfare, medical programs, housing assistance, and social services.
Thus, monies from the federal and state governments represent a subsidy
to the poor people of the cities, not the cities themselves. If the poor
moved to the suburbs, the local governments of the suburbs would receive
the transfer payments now going to the cities. The argument that subsidies
to the poor represent an unfair advantage to cities (because of the transfer
payments, which help to support the poor) is therefore not accurate.
Despite the high level of outside aid, central cities continue to tax their
citizens at a much higher rate in relation to income than do suburban jurisdictions.
For every dollar spent by suburban governments in 1987,$1.51 was spent by
central city governments. This compares with $1.40 in 1981 and $1.47 in
1977. This results from several factors: first, even after taking into account
federal and state payments, providing services to the poor costs cities
money; second, the fact that cities also provide services demanded by suburban
residents that work in the city. This is the so called "municipal overburden."
At the same time, because of the concentration of the poor in the central
city relative to the suburbs, the tax base in the central city is significantly
lower, even when the enormous value of the central business district is
taken into account. (99) Thus, to generate the same revenue, the city's
tax rate needs to be higher than that in the suburbs. As flight to the suburbs
continues and state and federal aid to local governments has fallen, the
fiscal disparities between the central city and the suburbs have increased.
The tax burden has increased in the central city relative to the suburbs,
from a ratio of 1.18 in 1981 to 1.55 in 1987. (100)
In addition to direct subsidies, there are also a number of indirect
costs borne by others because of sprawling development, costs economists
call negative externalities. These include environmental degradation (air,
water, and land), traffic congestion, and reduced access to open space.
One element of environmental quality often linked to urban spatial
structure is air quality. (101) Indeed, it is often believed that because
of greater automobile use a sprawling urban form has a deleterious impact
on air quality, a cost not passed on to drivers. It is true that as metropolitan
decentralization has proceeded, people rely more and more on private vehicles
for both work and non- workrelated trips. Moreover, environmental externalities
(for example CO2 emissions) are closely related to automobile use. Yet,
the relationship between sprawl and declining air quality as a result of
increased automobile use is much less clear.
Bae and Richardson note that greater automobile use does not necessarily
lead to worsening air quality. (102) For one reason, longer distances traveled
in the suburbs are offset by faster speeds. They argue that vehicle hours
traveled are more important than vehicle mile traveled (VMT). Second, lower
per capita emissions due to high densities in a small area may have more
environmental impact than higher per capita emissions in a lowdensity environment
because of the ability of a local airshed to absorb pollutants, and the
fact that pollution levels increase exponentially, not linearly, as the
percent of capacity absorbed rises. Thus, higher-density neighborhoods are
more likely to be more polluted neighborhoods. (103) More spreadout metropolitan
regions might therefore have better air quality because of the ability of
the atmosphere to deal with the pollutants. Third, automobile pollution
is strongly related to the number of trips, with a major part of auto pollution
deriving from cold starts. More compact cities and those with a better mix
of land uses reduce VMT significantly more than the number of trips. For
instance, a recent study in San Diego found that by balancing jobs and housing,
VMT would be reduced by 5 to 9 percent, traffic congestion would decline
by 31 to 41 percent, but vehicle emissions would only be cut by 2 percent.
This resulted from only a small reduction in the number of trips (though
the length of the trips was shorter).(104)
In its study of different urban forms, the New Jersey State Planning Agency
found that the more compact urban development scenario, IPLAN, did not significantly
improve air quality over the continuation of urban sprawl. (105) They found
that improvements in air quality from cleaner fuels, more efficient engines,
more stringent emission inspection, and more cars with anti-pollution devices
dwarfed the improvements deriving from land use.
Another potential externality of sprawl development is the rapid
conversion of land from rural to urban uses. For example, in northeastern
Illinois (around Chicago), the region's population increased by 4.1 percent
between 1970 and 1990. but residential land use increased by 46 percent.
Views differ on the extent to which this conversion is a result of market
imperfections and government intervention. The relative weight of subsidies
to urban and rural uses would seem to suggest that farmland near urban areas
is undervalued for agricultural uses and overvalued for urban uses, pushing
the urban/rural border further out than would result from a perfect market.
(l06) There are three main concerns about the loss of rural land: the impact
on agricultural production, the impact on the environment, and the amenity
value of rural land.
Clearly, the development of rural land will have an impact on agricultural
production. Most agree that in terms of raw acres, even in the face of rapid
development, U.S. cropland is adequate to meet demand both here and abroad
for the foreseeable future. (l07) It is estimated that there are about 540
million acres of arable farmland, of which about 400 million acres are in
cropland. Estimates of cropland needed for food production by the year 2000
range from 22 million acres to 113 million acres. Hence, some argue that
a doubling of urban land uses would not significantly affect the supply
of arable land. (108) However, about 48 million of the 250 million acres
of prime agricultural land are within 50 miles of the 100 largest urbanized
areas. (l09) As Ewing observes: "Lands most suitable for growing crops
also tend to be most suitable for 'growing houses' (being flat and historically
near human settlements)." (110) Thus, with urban conversion of prime
agricultural land there would be a slight increase in agricultural production
costs because of farming more marginal lands with greater inputs. (111)
Moreover, the conversion of agricultural land is more important and more
costly in some regions than in others, and thus protecting land in those
areas might be of a somewhat higher priority. For example, the Bank of America
reports that between 1982 and 1987 the Central Valley in California, the
most productive agricultural region in the state, lost 500,000 acres of
productive farmland to development. And in the Central Valley, costs to
agriculture from urban pollution exceed $200 million a year. (112)
Development on rural land can also affect environmental quality. Undeveloped
land helps to control flooding, cleans the air, and provides habitat for
wildlife. Though it is difficult to assign a dollar value to these things,
their benefits are nonetheless real. The New Jersey study looked at the
differential impacts of development on environmentally frail lands defined
as steep slopes, forests' and critical sensitive watersheds. New Jersey's
simulation of different development forms in New Jersey found that IPLAN
would affect only 20 percent of the frail lands that would be affected by
TREND development.
Table 8-11: Changes in Pollutant Loading 1990-2010 as
a result of New Jersey
IPLAN Implementation by tons and percentage
| Changes in pollutant loading | ||
| 1990-2010 as a result of IPLAN | ||
| implementation | ||
| Pollutant | (in tons) | Percentage |
| Bio-chemical oxygen demand | -3,382 | -27.7 |
| Total phosphorous | -77 | -43.5 |
| Total nitrogen | -1,052 | -42.6 |
| Zinc | -29 | -21.9 |
| Lead | -19 | -10.2 |
| SOURCE: New Jersey Office of State Planning (OSP), Impact Assessment of the New Jersey Interim State Development and Redevelopment Plan, Report II: Research Findings. Trenton, NJ, 1992. | ||
Biodiversity is an important issue in the conversion of land from rural
to urban uses. As Beatley points out: "In recent years habitat loss
has become the primary threat to biodiversity as the extent of human settlements
continues to grow." (113) Indeed, more than 700 endangered or threatened
species are listed on the Endangered Species Act, and the number continues
to grow. Although it is difficult, if not impossible, to quantify the costs
to society of decreasing biodiversity and include them in a banefit-cost
analysis, there are arguments for conservation other than the ethical and
aesthetic. These include the potential scientific, anthropological, and
medicinal benefits of species. For example, the bark of the yew tree, found
in the northwestern U.S., has been found to be an effective treatment for
certain types of cancer (see Beatley, 1994, for other examples).
Finally, there is a loss associated with the amenity value of rural land
with its conversion to urban uses. That is, the time or cost of traveling
to the country for urban dwellers increases with lowdensity development.
(114)
Urban development also impacts water quality. The amount of pollutants
in storm water runoff is related to the type of land use, which is related
to density and the level of imperviousness, and the hydrological characteristics
of the soil. More intense uses engender more pollutants, and large impervious
surfaces lead to greater pollution. However, higher-density uses cause less
pollution and impervious surface overall because less land is used. Moreover,
the type of soil influences the amount of pollution found in storm water
runoff. The New Jersey study of different urban development patterns found
that compact development (IPLAN) would generate significantly less pollution
than sprawled development (TREND) for all categories of pollutants. The
reduction ranged from over 40 percent for phosphorous and nitrogen to 10
percent for lead (see table 8- 11). The study notes that in some places
where development is particularly dense, water quality will deteriorate,
but in general water quality will be better with planned growth than with
unplanned development.
Another externality asso