| Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 4 | |
| Section | Economic Innovation and Talent Development Technology | |
| DOI | https://doi.org/10.1051/shsconf/202317002003 | |
| Published online | 14 June 2023 | |
A Method for Classifying Residential Prices in Apartment Complex Using Computer Simulation Analysis: A Case Study
1 School of Civil Engineering, Shandong Jiaotong University, Jinan, China
2 Secondary Dam Water Control, Project Management Bureau, Jining, China
a e-mail: yuwenlongywl@163.com
b e-mail: 529094191@qq.com
c e-mail: 2405604689@qq.com
d e-mail: 896179005@qq.com
e e-mail: libin@sdjtu.edu.cn
f* Corresponding author: caoxiangyang@sdjtu.edu.cn
The price fluctuation of the real estate market has become an important factor affecting the stability of the national macro-economy. In the history of the worldwide financial crisis, there have been many times related to the real estate market. China's real estate industry occupies a pivotal position in the national economy, and entered a rapid development period in 2000, gradually becoming a pillar industry of the national economy. It ushered in the process of rapid expansion, with investment scale, construction scale, transaction scale and transaction price rising. From the perspective of noise and landscape, this paper discusses the possibility of applying landscape analysis to the price and pricing of apartment complexes. The noise, landscape and sunlight are analyzed based on the landscape analysis (including the point and line through the view analysis, and the line of sight analysis) to provide a basis for the unit price classification of the area.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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