The privatization of public housing and the residualisation of public rental housing services in Hong Kong

1997 ◽  
Author(s):  
Kam-chuen Yiu
Keyword(s):  
Hong Kong ◽  
Public Housing ◽  
Rental Housing ◽  
Public Rental Housing ◽  
Housing Services

scholarly journals Public Housing Allocation Model in the Guangdong-Hong Kong-Macao Greater Bay Area under Clustering Algorithm

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lei Zhang ◽  
Xueqing Hu
Keyword(s):  
Hong Kong ◽  
Public Housing ◽  
Clustering Algorithm ◽  
Rental Housing ◽  
Data Set ◽  
Allocation Model ◽  
Housing Security ◽  
Bay Area ◽  
Public Rental Housing ◽  
Housing Allocation

In the Guangdong-Hong Kong-Macao Greater Bay Area (Bay Area), the allocation methods of public rental housing are analyzed to achieve scientific and fair housing allocation as much as possible, so as to protect the housing demand of low-income and middle-income families. The housing model in the Bay Area is analyzed firstly, and the key points of public rental housing and allocation management models are discussed comprehensively. Furthermore, a method based on rough-based fuzzy clustering (RFC) is proposed to analyze the housing demands of security groups, and a public housing allocation model is constructed based on actual demand of residents. The housing allocation plan is given and decided by the decision-making department based on the demand of the security objects and the characteristics of public housing. The simulation experiments are performed on the clustering algorithm optimized based on rough set feature selection. On the Chess data set, the optimized clustering algorithm shows an obvious improvement in clustering accuracy and recall rate compared with the traditional clustering algorithms, which are 0.76 and 0.95, respectively. The bilateral matching method based on fuzzy axiom design can fully consider the actual needs of both the supply and demand of the housing security, which is beneficial to improve the rationality and correctness of public housing allocation. The allocation method of public housing based on demand clustering analysis focuses on improving the housing security level and strives to meet the higher-level housing improvement needs of housing security objects, so as to provide security objects with more expected living conditions and improve housing allocation effect.

People like us? Social status, social inequality and perceptions of public rental housing

2013 ◽  
Vol 43 (1) ◽  
pp. 135-151 ◽  
Author(s):  
RAY FORREST ◽  
YING WU
Keyword(s):  
Hong Kong ◽  
Social Status ◽  
Social Role ◽  
Rental Housing ◽  
Housing Provision ◽  
Social Equality ◽  
Wide Range ◽  
Public Rental Housing ◽  
Societal Changes ◽  
Firing Line

AbstractOver the last three decades or so, neoliberal policies have had a significant effect on housing sectors across a wide range of societies. State rental sectors, in particular, have been in the ideological firing line. Portrayed as inefficient, unresponsive, monopolistic and anachronistic, they have been typically marketised, privatised and downsized. At the same time, wider societal changes have impacted on their social role and social composition. The overall effect on many public rental sectors is now very familiar – growing social and spatial segregation, enclaves of concentrated and multiple disadvantage and increased stigmatisation. Against this background, Hong Kong's public rental sector has survived relatively unscathed and continues to accommodate around a third of its households. This paper examines the experiences and perceptions of Hong Kong public rental housing among those within and outside the sector. How are public tenants perceived in relation to ideas of social status and social equality? How do public tenants see themselves? The paper draws on a survey of 3,000 individuals in Hong Kong which is part of a larger study concerned with housing provision and social change in the Special Administrative Region.

scholarly journals Optimal Project Planning for Public Rental Housing in South Korea

2020 ◽  
Vol 12 (2) ◽  
pp. 600 ◽  
Author(s):  
Jae Ho Park ◽  
Jung-Suk Yu ◽  
Zong Woo Geem
Keyword(s):  
Public Housing ◽  
Rental Housing ◽  
Land Development ◽  
Optimal Investment ◽  
Project Planning ◽  
Optimization Techniques ◽  
Korean Society ◽  
Housing Investment ◽  
Public Rental Housing ◽  
Gyeonggi Province

Although Korea has made notable progress in the availability of public rental housing, Korea’s public rental housing representing 6.3% of the country’s total housing is still below the 8% OECD average from 2016. The Seoul Metropolitan Area (composed of Seoul City, Incheon City, and Gyeonggi Province) has nearly 50% of the country’s population, but 11% of the nation’s territory, meaning the area suffers from an acute shortage of public rental housing. This is a serious problem which is hampering the sustainability of Korean society in general. We will examine the possibility of improving this public housing problem using certain algorithms to optimize decision making and resource allocation. This study reviews two pioneering studies on optimal investment portfolio for land development projects and optimal project combination for urban regeneration projects, and then optimizes a public housing investment combination to maximize the amount of public rental houses in Gyeonggi province using optimization techniques. Through the optimal investment combination, public rental houses were found to be more efficiently and sustainably planned for the community.

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