Real Estate Prices Affecting Factors based on Grey Relational Analysis

DOI

10.2991/asei-15.2015.220How to use a DOI?

Keywords

Grey relational analysis, Real estate price, Affecting factor

Abstract

This paper selected seven factors which affect the housing price from macro economic environment, market demand, and living stands of people, and then analyzed the influence of key factors on the price. Based on gray correlation analysis model, the case study is employed in Dalian, and the the importance degree of factors affecting housing prices and the rank can be calculated. It can be concluded that the importance order of factors affecting the real estate prices in Dalian are: per capita consumption expenditure, Resident per capita disposable income, Land transaction price index, the area of real estate sales, the consumer price index, per capita GDP, GDP. This paper can provide a scientific basis for engineering project decisions, market planning and feasibility studies.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lei Jiang
AU  - Yunli Gao
AU  - Li Chen
PY  - 2015/05
DA  - 2015/05
TI  - Real Estate Prices Affecting Factors based on Grey Relational Analysis
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1111
EP  - 1114
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.220
DO  - 10.2991/asei-15.2015.220
ID  - Jiang2015/05
ER  -