International Journal of Computational Intelligence Systems

Volume 13, Issue 1, 2020, Pages 153 - 166

Urban Real Estate Market Early Warning Based on Support Vector Machine: A Case Study of Beijing

Authors
Xian-Jia Wang1, Guan-Tian Zeng1, Ke-Xin Zhang2, Hai-Bo Chu2, Zhen-Song Chen2, *
1Economic and Management School, Wuhan University, Wuhan 430072, China
2School of Civil Engineering, Wuhan University, Wuhan 430072, China
*Corresponding author. Email: zschen@whu.edu.cn
Corresponding Author
Zhen-Song Chen
Received 25 December 2019, Accepted 28 January 2020, Available Online 3 February 2020.
DOI
10.2991/ijcis.d.200129.001How to use a DOI?
Keywords
Real estate market; Early warning system; Support vector machine; Real estate prices
Abstract

Based on a multi-class support vector machine, an urban real estate early warning model is constructed for the Beijing real estate market. The initial indicator system is established based on the historical development of Beijing's real estate market and the selection of real estate early warning indicators. Early warning index data for Beijing from 2000 to 2018 are selected, and the leading index is selected by a time difference correlation analysis as the warning index to be used for further implementation. The model is found to have a good early warning judgment performance, and demonstrates generalization ability. The model analyzes the real estate market from the aspects of land supply, credit scale, housing supply structure, restriction of speculation, and strengthening of transparency of real estate information. It predicts that the real estate market in Beijing will run smoothly in 2019. Based on the model's findings, the paper proposes policy recommendations to promote the healthy operation of China's real estate market.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
153 - 166
Publication Date
2020/02/03
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200129.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Xian-Jia Wang
AU  - Guan-Tian Zeng
AU  - Ke-Xin Zhang
AU  - Hai-Bo Chu
AU  - Zhen-Song Chen
PY  - 2020
DA  - 2020/02/03
TI  - Urban Real Estate Market Early Warning Based on Support Vector Machine: A Case Study of Beijing
JO  - International Journal of Computational Intelligence Systems
SP  - 153
EP  - 166
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200129.001
DO  - 10.2991/ijcis.d.200129.001
ID  - Wang2020
ER  -