A spatial decision support system prototype for housing mobility program planning |
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Authors: | Michael P Johnson |
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Institution: | (1) Assistant Professor of Management Science and Urban Affairs, H. John Heinz III School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, PA, USA (e-mail: johnson2@andrew.cmu.edu), US |
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Abstract: | This paper presents a GIS-based decision support system prototype intended for use by public housing authority (PHA) administrators
and planners designing policy for housing mobility programs. Housing mobility programs enable low-income families, many of
whom live in government-operated public housing, to move to more desirable private-market rentals via rent subsidies. Unfortunately,
housing authority planners have limited ability to visualize alternative relocation schemes of cohorts of low-income families
or the impacts associated with these relocation policies. Thus, they are often not able to give highest-quality advice to
clients regarding places to search for private-market rental housing. Housing Location Planner assists PHA planners in three
ways: it analyzes spatial, demographic and housing market characteristics of the study area, selects certain portions of the
study area for input to an optimization model which generates alternative family allocations, and displays optimization model
results in a way that links decision variable values and objective function values. Housing Location Planner is seen as a
first step in the development of even more sophisticated multi-stakeholder spatial decision support systems for subsidized
housing planning in which one or more alternative allocations of families across a study area is chosen as a basis for policy
initiatives.
Received: 8 September 1999/Accepted: 23 October 2000 |
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Keywords: | : Decision support geographical information systems subsidized housing visualization multi-objective optimization |
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