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Table of Contents | Background
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Spatially Integrated Social Science: Chapter 15
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Shaping
Policy Decisions with Spatial Analysis
Ted K. Bradshaw and
Brian Muller
Abstract
Methods of spatial analysis have developed
rapidly over the past decade; nonetheless, in our experience,
the growing capacity of spatial analytical techniques continues
in large part to be underutilized in policy decision making
or planning. On the one hand, there is rapid growth in computing
power and availability of specialized software; on the other
hand, local policymakers by and large rely on experience,
intuition and consultation and at most simple spreadsheet-based
analysis or descriptive maps in making spatially explicit
decisions. In this paper, we examine two examples of how spatial
analysis can contribute to policy discussion. First, we report
on recent work exploring the spatial distribution of small
business loan guarantees in California cities. In this case,
our findings led to identification of potential locations
for an expanded state guarantee program. Second, we discuss
applications of an urban growth model in Monterey and Santa
Cruz counties. Using sub-models to evaluate the cost of public
services and viability of the local agricultural economy,
we compare impacts and trade-offs among different types of
urban forms. We conclude that expanded technological capacity,
greater ability to include qualitative data, more institutional
and organizational demand, and the opportunity for greater
public participation are all helping policy makers to better
use spatial analysis.
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