Decision Support for a Housing Mobility Program Using a Multiobjective Optimization Model
As result of public housing reform and welfare reform, the operating environment of public housing authorities has changed significantly. Given these policy initiatives, housing mobility programs represent viable strategies for providing public housing residents with access to economically healthy,...
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| Veröffentlicht in: | Management science 2000-12, Vol.46 (12), p.1569-1584 |
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| container_title | Management science |
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| creator | Johnson, Michael P Hurter, Arthur P |
| description | As result of public housing reform and welfare reform, the operating environment of public housing authorities has changed significantly. Given these policy initiatives, housing mobility programs represent viable strategies for providing public housing residents with access to economically healthy, integrated neighborhoods.
In this paper we present a decision support methodology to assist the design of housing mobility programs. This methodology incorporates economic models for estimating dollar-valued impacts associated with tenant relocation, and a multiobjective optimization model for generating alternative relocation schemes associated with various objective function weights. Using data for Lake County, Illinois and Chicago, we demonstrate that nondominated allocations represent significant trade-offs between dollar-valued and non-dollar-valued policy objectives; existing distributions of subsidized housing represent suboptimal solutions to the housing relocation problem; and increases in available rental housing can result in housing dispersion schemes that have positive net economic benefits relative to the status quo. |
| doi_str_mv | 10.1287/mnsc.46.12.1569.12077 |
| format | Article |
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In this paper we present a decision support methodology to assist the design of housing mobility programs. This methodology incorporates economic models for estimating dollar-valued impacts associated with tenant relocation, and a multiobjective optimization model for generating alternative relocation schemes associated with various objective function weights. Using data for Lake County, Illinois and Chicago, we demonstrate that nondominated allocations represent significant trade-offs between dollar-valued and non-dollar-valued policy objectives; existing distributions of subsidized housing represent suboptimal solutions to the housing relocation problem; and increases in available rental housing can result in housing dispersion schemes that have positive net economic benefits relative to the status quo.</description><identifier>ISSN: 0025-1909</identifier><identifier>EISSN: 1526-5501</identifier><identifier>DOI: 10.1287/mnsc.46.12.1569.12077</identifier><identifier>CODEN: MNSCDI</identifier><language>eng</language><publisher>Hanover, MD., etc: INFORMS</publisher><subject>Affordable housing ; benefit-cost analysis ; Census tracts ; Cost benefit analysis ; Costs ; Decision support systems ; Economic benefits ; Economic models ; Employment ; Externality ; Housing ; housing mobility ; Housing reform ; Housing subsidies ; Inner city ; Low income groups ; Mobility ; multiobjective optimization ; Neighborhoods ; Optimization ; Planning ; Policy analysis ; Poverty ; Property values ; Public housing ; Rental housing ; Rentals ; Social housing ; Social policy ; State court decisions ; Studies ; Subsidies ; Subsidized housing ; Tenants ; Urban development</subject><ispartof>Management science, 2000-12, Vol.46 (12), p.1569-1584</ispartof><rights>Copyright 2000 INFORMS</rights><rights>Copyright Institute for Operations Research and the Management Sciences Dec 2000</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c598t-907251ec593589d5e0a4c32f079b38d4f602e6ab9e9453a067ae242db12848c23</citedby><cites>FETCH-LOGICAL-c598t-907251ec593589d5e0a4c32f079b38d4f602e6ab9e9453a067ae242db12848c23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/2661534$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://pubsonline.informs.org/doi/full/10.1287/mnsc.46.12.1569.12077$$EHTML$$P50$$Ginforms$$H</linktohtml><link.rule.ids>314,776,780,799,3678,3993,27848,27903,27904,57996,58229,62593</link.rule.ids><backlink>$$Uhttp://econpapers.repec.org/article/inmormnsc/v_3a46_3ay_3a2000_3ai_3a12_3ap_3a1569-1584.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Johnson, Michael P</creatorcontrib><creatorcontrib>Hurter, Arthur P</creatorcontrib><title>Decision Support for a Housing Mobility Program Using a Multiobjective Optimization Model</title><title>Management science</title><description>As result of public housing reform and welfare reform, the operating environment of public housing authorities has changed significantly. Given these policy initiatives, housing mobility programs represent viable strategies for providing public housing residents with access to economically healthy, integrated neighborhoods.
In this paper we present a decision support methodology to assist the design of housing mobility programs. This methodology incorporates economic models for estimating dollar-valued impacts associated with tenant relocation, and a multiobjective optimization model for generating alternative relocation schemes associated with various objective function weights. Using data for Lake County, Illinois and Chicago, we demonstrate that nondominated allocations represent significant trade-offs between dollar-valued and non-dollar-valued policy objectives; existing distributions of subsidized housing represent suboptimal solutions to the housing relocation problem; and increases in available rental housing can result in housing dispersion schemes that have positive net economic benefits relative to the status quo.</description><subject>Affordable housing</subject><subject>benefit-cost analysis</subject><subject>Census tracts</subject><subject>Cost benefit analysis</subject><subject>Costs</subject><subject>Decision support systems</subject><subject>Economic benefits</subject><subject>Economic models</subject><subject>Employment</subject><subject>Externality</subject><subject>Housing</subject><subject>housing mobility</subject><subject>Housing reform</subject><subject>Housing subsidies</subject><subject>Inner city</subject><subject>Low income groups</subject><subject>Mobility</subject><subject>multiobjective optimization</subject><subject>Neighborhoods</subject><subject>Optimization</subject><subject>Planning</subject><subject>Policy analysis</subject><subject>Poverty</subject><subject>Property values</subject><subject>Public housing</subject><subject>Rental housing</subject><subject>Rentals</subject><subject>Social housing</subject><subject>Social policy</subject><subject>State court decisions</subject><subject>Studies</subject><subject>Subsidies</subject><subject>Subsidized housing</subject><subject>Tenants</subject><subject>Urban 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P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decision Support for a Housing Mobility Program Using a Multiobjective Optimization Model</atitle><jtitle>Management science</jtitle><date>2000-12-01</date><risdate>2000</risdate><volume>46</volume><issue>12</issue><spage>1569</spage><epage>1584</epage><pages>1569-1584</pages><issn>0025-1909</issn><eissn>1526-5501</eissn><coden>MNSCDI</coden><abstract>As result of public housing reform and welfare reform, the operating environment of public housing authorities has changed significantly. Given these policy initiatives, housing mobility programs represent viable strategies for providing public housing residents with access to economically healthy, integrated neighborhoods.
In this paper we present a decision support methodology to assist the design of housing mobility programs. This methodology incorporates economic models for estimating dollar-valued impacts associated with tenant relocation, and a multiobjective optimization model for generating alternative relocation schemes associated with various objective function weights. Using data for Lake County, Illinois and Chicago, we demonstrate that nondominated allocations represent significant trade-offs between dollar-valued and non-dollar-valued policy objectives; existing distributions of subsidized housing represent suboptimal solutions to the housing relocation problem; and increases in available rental housing can result in housing dispersion schemes that have positive net economic benefits relative to the status quo.</abstract><cop>Hanover, MD., etc</cop><pub>INFORMS</pub><doi>10.1287/mnsc.46.12.1569.12077</doi><tpages>16</tpages></addata></record> |
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| ispartof | Management science, 2000-12, Vol.46 (12), p.1569-1584 |
| issn | 0025-1909 1526-5501 |
| language | eng |
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| source | Informs; RePEc; Periodicals Index Online; EBSCOhost Business Source Complete; Jstor Complete Legacy |
| subjects | Affordable housing benefit-cost analysis Census tracts Cost benefit analysis Costs Decision support systems Economic benefits Economic models Employment Externality Housing housing mobility Housing reform Housing subsidies Inner city Low income groups Mobility multiobjective optimization Neighborhoods Optimization Planning Policy analysis Poverty Property values Public housing Rental housing Rentals Social housing Social policy State court decisions Studies Subsidies Subsidized housing Tenants Urban development |
| title | Decision Support for a Housing Mobility Program Using a Multiobjective Optimization Model |
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