• DocumentCode
    120181
  • Title

    Allocation of Public Rental Housing Based on Two-Sided Matching

  • Author

    Hongping Deng ; Sha Liang ; Dou Feng ; Yidai Zhang

  • Author_Institution
    Hubei Real Estate Econ. Res. Center, Central China Normal Univ., Wuhan, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    356
  • Lastpage
    360
  • Abstract
    Public rental housing is an important component of affordable housing. The fairness and efficiency of public rental distribution has arouse wide public concern. In this paper, with two-sided matching theory, introducing the applicant and the market listing, evaluate satisfaction according to mutual evaluation indicators, establish multi-objective linear optimization model, and then transform into a single objective linear programming model to get stable and effective distribution results. This matching is not only an effective solution to efficiency and equity issues during the allocation process, but also makes the allocation results of higher satisfaction and more efficient counting for the applicant´s own needs.
  • Keywords
    land use planning; linear programming; affordable housing component; market listing; multiobjective linear optimization model; mutual evaluation indicators; public rental distribution; public rental housing allocation; single objective linear programming model; two-sided matching theory; Educational institutions; Indexes; Pragmatics; Resource management; Sociology; Standards; Statistics; allocation of public rental housing; multi-objective planning; two-sided matches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.75
  • Filename
    6923702