scholarly journals Genetic Algorithm-based Optimal Investment Scheduling for Public Rental Housing Projects in South Korea

2018 ◽  
Vol 18 (2) ◽  
pp. 135-145 ◽  
Author(s):  
Jae Ho Park ◽  
Jung Suk Yu ◽  
Zong Woo Geem
Keyword(s):  
Genetic Algorithm ◽  
South Korea ◽  
Rental Housing ◽  
Optimal Investment ◽  
Housing Projects ◽  
Public Rental Housing

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.

scholarly journals Evaluation and Optimization of the Financial Sustainability of Public Rental Housing Projects: A Case Study in Nanjing, China

2016 ◽  
Vol 8 (4) ◽  
pp. 330 ◽  
Author(s):  
Dezhi Li ◽  
Yanchao Chen ◽  
Hongxia Chen ◽  
Eddie Hui ◽  
Kai Guo
Keyword(s):  
Rental Housing ◽  
Financial Sustainability ◽  
Housing Projects ◽  
Public Rental Housing

A real option-based valuation model for privately-owned public rental housing projects in China

2014 ◽  
Vol 43 ◽  
pp. 125-132 ◽  
Author(s):  
Dezhi Li ◽  
Hongxia Chen ◽  
Eddie Chi-man Hui ◽  
Chan Xiao ◽  
Qingbin Cui ◽  
...  
Keyword(s):  
Real Option ◽  
Rental Housing ◽  
Housing Projects ◽  
Valuation Model ◽  
Public Rental Housing ◽  
Privately Owned

Research on Public Rental Housing Facilities Management in Changsha

2014 ◽  
Vol 971-973 ◽  
pp. 2123-2126
Author(s):  
Hui Zhang ◽  
Zheng Zhang ◽  
Hong Jian Cao
Keyword(s):  
Low Income ◽  
Rental Housing ◽  
Housing System ◽  
Facilities Management ◽  
Housing Projects ◽  
Public Facilities ◽  
Site Investigations ◽  
Public Rental Housing ◽  
Great Progress ◽  
Laws And Regulations

Public rental housing is an important part of China’s low-income housing system. Through on-site investigations and questionnaires in housing projects in Changsha, China, it was found that the current public rental housing has made a great progress, but also exists a series of problems, such as: too much focus on the construction other than the management afterwards; the inefficiency of laws and regulations, the lack of public facilities, inexperience of management and so on. Suggestions are given as: laws and regulations needs to be improved; outstanding facilities management companies should be encouraged to join the management, providing diversified and personalized facilities management services, and more professional trainings and cooperation is urgently needed.

A Study on the Improvement of the Public Rental Housing Policy in Korea

2009 ◽  
Vol 39 (3) ◽  
pp. 727-744
Author(s):  
Sang-Bong KIM ◽  
Ki-Sik HWANG ◽  
Rok RYU
Keyword(s):  
Housing Policy ◽  
Rental Housing ◽  
The Public ◽  
Public Rental Housing
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