Estimation of Single-Housing Areas Development Using Artificial Neural Network

3rd World Multidisciplinary Civil Engineering, Architecture, Urban Planning Symposium

土木建筑工程;文学

Janusz, Jan^1 ; Lucka, Robert^1

UTP University of Science and Technology in Bydgoszcz, Al. prof. S. Kaliskiego 7, Bydgoszcz

85-796, Poland^1

关键词: Decision making process;    Simple networks;    Software environments;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/471/10/102064/pdf
DOI  :  10.1088/1757-899X/471/10/102064

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

The subject of the research is the analytical model of single-housing areas development covered with local spatial plans in the suburban zone of Pozna agglomeration outside the central city. The research is based on the regression analysis with selected techniques of artificial neural networks using SPSS 22 software environment. It is conducted on 61 local spatial plans, with a single-family housing area from 2 to 90 hectares with an average of 15 hectares. Since it was assumed to focus on the growth rate from 5 to 10 years from the implementation of the plan, the research samples come from 1993-2007. In conclusion, it can be stated that a relatively simple network, based only on a few variables, allows for an effective estimation of development in a given time. The model can support the decision-making process for the purposes of sustainable development.