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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
         
        
            Conference_Location : 
Beijing
         
        
            Print_ISBN : 
978-1-4799-5371-4
         
        
        
            DOI : 
10.1109/CSO.2014.75