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Sub-Regional
Study 

Sub-Regional
Case Study: Containing Urban Sprawl in Portage County, Ohio
During
the last 50 years cities in the United States have been developing
through a sequence of successive phases of growth from urbanization,
suburbanization, counterurbanization, to reurbanization (Geyer
1996). During this process, the expansion of urban settlements into
rural areas often takes the form of low-density development,
predominately single-family residential subdivisions and strip
commercial developments. The result of this development process is
commonly called "urban sprawl." In this form, urbanization
spreads outward in a haphazard pattern, consuming more land than is
necessary and creating excessive public costs for community
facilities and services.
The
spatial expansion of urbanized areas has been argued to be the most
significant morphological characteristics of metropolitan
development in the United States (Tribble and Bohland 1973). The
sprawl of urbanized areas has served as the focal issue for numerous
geographic, economic, sociological, and political analyses.
Consequently, there exists a large literature body regarding the
form and process of urban sprawl. One example is, see the
bibliography compiled by Audirac and Zifou (1989).
In
practice, the prevention and control of urban sprawl has probably
been one of the most frequent justifications for planners, public
administrators, politicians, and environmental activists to
intervene in land markets and regulate land uses. Master planning
and zoning are often instituted by local governments to prevent the
existence of incompatible land uses, but they have also been used
increasingly to alter the pattern of development. However, their
effectiveness requires long term monitoring and the results often
vary greatly among communities (Barnett 1995).
In
this and the associated web pages, we describe our approach to using
a geographic information system (GIS) as a spatial decision support
system to simulate future residential development patterns in
Portage County, Ohio. The simulations were based on assumptions
regarding projected population growth and the implementation of
different growth management tools and policies, and to measure the
impacts of that development on selected natural resources. GIS
allows the integration of geographic databases and provides spatial
analytic functions for allocating projected population growth to
land available for development. Using a computer program carefully
designed to simulate the form and process of development,
alternative growth scenarios are produced so citizens and local
officials can better understand and conceptualize the various
implications of a variety of growth policy alternatives.
Please
refer to the Bibliography page for
citation information.
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