Research on the Influencing Factors of Housing Price

DOI

10.2991/978-94-6463-246-0_27How to use a DOI?

Keywords

House Price; Correlation; Linear Regression

Abstract

The change of commodity prices affects people’s lives. House prices have increased over the last 10 years, and more people are prepared to participate in the real estate market. This paper focuses on the influencing factors of housing price. And Examine the elements that influence the cost of the house. The paper mainly uses correlation analysis and linear regression analysis. Finally, under the verification of the two methods, it is concluded that the price of the house is significantly related to the distance from the house to the nearest MRT station, the age of the house, the number of convenience stores around the house and the dimension of the house. In particular, The closest MRT station’s proximity to the apartment has the biggest impact on the price of the apartment. Therefore, when investors choose to invest in real estate, they can choose suitable houses for investment according to these influencing factors.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yushan Chen
PY  - 2023
DA  - 2023/09/26
TI  - Research on the Influencing Factors of Housing Price
BT  - Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023)
PB  - Atlantis Press
SP  - 221
EP  - 226
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-246-0_27
DO  - 10.2991/978-94-6463-246-0_27
ID  - Chen2023
ER  -