DocumentCode
693913
Title
Prediction of Low-Rent Housing´s Supply Quantity Based on Grey Systems Theory
Author
Li Yichun
Author_Institution
Res. Center on Fictitious Econ. & Data Sci., Beijing, China
fYear
2013
fDate
14-16 Nov. 2013
Firstpage
329
Lastpage
332
Abstract
In this paper, we use grey GM (1, 1) model to predict low rental housings´ supply quantity in Beijing from 2013 to 2015.Firstly, we give a brief introduction of renewal grey GM (1, 1) model and its methodology. Secondly, we use per capital floor space of urban residential buildings and non-agricultural population as basic data to predicts Beijing´s total housing supply from 2014 to 2016. Finally, we use grey GM (1, 1) model predict the number and the area of low rent housings´ supply target in Beijing.
Keywords
grey systems; pricing; grey system theory; low-rent housing supply quantity; nonagricultural population; renewal grey GM (1, 1) model; urban residential buildings; Data models; Floors; Indexes; Mathematical model; Predictive models; Sociology; Statistics; 1); GM (1; low-rent housing; prediction; tatal supply quantity;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-4778-2
Type
conf
DOI
10.1109/BIFE.2013.70
Filename
6961148
Link To Document