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

Lei Zhang,Xueqing Hu,Zhihan Lv

doi:10.1155/2021/7582502

Abstract

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.

Highlights

At the Fifth Session of the 12th National People’s Congress in March 2017, it was clearly pointed out that “the Mainland has to deepen cooperation with Hong Kong and Macao to fully play their unique advantages.” e development plan for the city cluster in Bay Area was firstly compiled, which marked that the construction of Bay Area was deemed as a national strategy [1]. e cluster of nine cities in Hong Kong, Macao, and Guangdong Province is among the most open and economically vigorous regions in China, and it has critically strategic position in the overall situation of national development [2]
Performance of Feature Selection Clustering Algorithm Based on Rough Set. e performance of the rough set-based feature selection clustering algorithm is verified on three data sets: Chess, Lung-Cancer, and Soybean, and the results are shown in Figures 7–9, respectively
After the original data set is selected by the feature selection algorithm based on rough set mentioned in this study, the cluster analysis on the obtained feature subset shows that the indicators are significantly better than those of the traditional clustering algorithm. is proves that the algorithm proposed can select feature subsets with higher classification accuracy

Summary

Introduction

At the Fifth Session of the 12th National People’s Congress in March 2017, it was clearly pointed out that “the Mainland has to deepen cooperation with Hong Kong and Macao to fully play their unique advantages.” e development plan for the city cluster in Bay Area was firstly compiled, which marked that the construction of Bay Area was deemed as a national strategy [1]. e cluster of nine cities in Hong Kong, Macao, and Guangdong Province is among the most open and economically vigorous regions in China, and it has critically strategic position in the overall situation of national development [2]. E cluster of nine cities in Hong Kong, Macao, and Guangdong Province is among the most open and economically vigorous regions in China, and it has critically strategic position in the overall situation of national development [2]. Guangdong is the frontier of opening up to the outside world in China and is the largest economic province, the largest foreign trade province, and the leading province with advanced manufacturing base and talents. Guangdong is one of the provinces with the highest degree of internationalization, marketization, and openness in China. It is forming a science and technology innovation corridor based on the advantages of the three places [3, 4]. Guangdong, Hong Kong, and Macao will build a world-

Methods

Results

Conclusion