Date of Award

1990

Degree Type

Thesis

Degree Name

Master of Community Planning (MCP)

Department

Community Planning and Area Development

First Advisor

John J. Kupa

Abstract

This report presents a development impact assessment methodology for an analysis of development possibilities in a rural area. The methodology was used to determine conclusive statements about the Rock Cut Road study area in the Town of Newburgh in Orange County, New York with which to base recommendations for growth management.

The methodology involved (1) the examination of existing conditions of an area such as the degree and type of existing development, zoning limitations, and environmental sensitivities; (2) the development of various development scenarios; (3) the disaggregation of development impacts into several distinct impacts relative to each scenario; (4) the projection of their relative effects on existing conditions; and (5) the comparison of each scenario within the existing conditions. From this is determined a best growth option and finally recommendations to put it into action.

The study considers development impacts within four different scenarios:

(1) Without municipal sewers (the current practice) under existing zoning;

(2) Without sewers but under a soil-based zoning concept whereby soil capacities determine adequate minimum lot size;

(3) With sewer extension to the study area under existing zoning but dominated by single family detached type units; and,

(4) With sewer extension under existing zoning but dominated by townhouse type dwelling units.

The analysis shows that opportunities exist for development under each of the four scenarios used in the analysis. Development in three of the scenarios could overburden infrastructure and have an adverse effect on the natural drainage of one of the drainage basins. This was particularly significant in the two sewered development scenarios. Ultimately, the study showed that a more moderate range of development for the study area can best respond to environmental and infrastructure sensitivities.

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