A system for per capita Floor Space of Residential Buildings forecasting in urban area of China: A case study of Chongqing Municipality

Abstract

With the development of economy in China, the living standards of public are becoming increasingly important for the competitiveness of the whole country, while Per Capita Floor Space of Residential Buildings (RB) is an indispensible indicator to measure the living standards of public, especially for the people in urban areas of China. Based on the RB data of Chongqing from 2001 to 2007, this paper analyzes the key influencing factors (KIFs) by applying grey relation analysis (GRA) theory, and introduces systematic gray forecasting theory which is based on Price Indices for Real Estate (PIRE) and Floor Space of Building Completed (FSBC) to forecast the RB of Chongqing Municipality from 2008 to 2015. The results of this research have been applied to the 12th Five-year-plan in Real Estate Industry of Chongqing Municipality. Moreover, this system for RB forecasting can been widely used in urban areas of China, while this is general method to forecast Per Capita Floor Space of Residential Buildings.