Title :
Prediction of Low-Rent Housing´s Supply Quantity Based on Grey Systems Theory
Author_Institution :
Res. Center on Fictitious Econ. & Data Sci., Beijing, China
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;
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4778-2
DOI :
10.1109/BIFE.2013.70
