A spatial decision support system prototype for housing mobility program planning

被引:2
|
作者
Johnson M.P. [1 ]
机构
[1] Dept. of Mgmt. Sci. and Urban Aff., H. John Heinz III Sch. Pub. Plcy. M., Carnegie Mellon University, Pittsburgh, PA
关键词
Decision support; Geographical information systems; Multi-objective optimization; Subsidized housing; Visualization;
D O I
10.1007/PL00011467
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:49 / 67
页数:18
相关论文
共 50 条
  • [1] Spatial decision support for assisted housing mobility counseling
    Johnson, MP
    DECISION SUPPORT SYSTEMS, 2005, 41 (01) : 296 - 312
  • [2] Decision support for a housing mobility program using a multiobjective optimization model
    Johnson, MP
    Hurter, AP
    MANAGEMENT SCIENCE, 2000, 46 (12) : 1569 - 1584
  • [3] Spatial decision support system for sediment related disaster prevention planning
    Wei, L
    Doihara, T
    Ogawa, K
    Matsuda, M
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 41 - 43
  • [4] A Prototype of Interactive Decision Support System with Automatic Prompter
    Zujevs, Andrejs
    BALTIC JOURNAL OF MODERN COMPUTING, 2015, 3 (01): : 43 - 54
  • [5] A GIS-based multicriteria spatial decision support system for planning urban infrastructures
    Coutinho-Rodrigues, Joao
    Simao, Ana
    Antunes, Carlos Henggeler
    DECISION SUPPORT SYSTEMS, 2011, 51 (03) : 720 - 726
  • [6] A Collaborative Planning, Information and Decision Support System
    Petersen, Sobah Abbas
    Sriram, Pavan
    Krogstie, John
    Sjobakk, Borge
    Bakas, Ottar
    COLLABORATIVE SYSTEMS FOR REINDUSTRIALIZATION, 2013, 408 : 295 - 302
  • [7] Spatial decision support for collaborative land use planning workshops
    Arciniegas, Gustavo
    Janssen, Ron
    LANDSCAPE AND URBAN PLANNING, 2012, 107 (03) : 332 - 342
  • [8] Decision support for inclusive spatial planning in the European geographical context
    Rodela, Romina
    PLANNING PRACTICE AND RESEARCH, 2025, 40 (02) : 406 - 420
  • [9] Integrating ecosystem services into spatial planning-A spatial decision support tool
    Gret-Regamey, Adrienne
    Altwegg, Jurg
    Siren, Elina A.
    van Strien, Maarten J.
    Weibel, Bettina
    LANDSCAPE AND URBAN PLANNING, 2017, 165 : 206 - 219
  • [10] Spatial Decision Support System for Student Data: A Case Study of Yemen
    Bazarah, Ali Mohammed
    AMCIS 2020 PROCEEDINGS, 2020,