What Is the Amount of China's Building Floor Space from 1996 to 2014?

被引:7
作者
Pan, Linwei [1 ]
Zhu, Minglei [2 ,3 ]
Lang, Ningning [4 ]
Huo, Tengfei [5 ]
机构
[1] Chongqing Jiaotong Univ, Sch Econ & Management, Chongqing 400074, Peoples R China
[2] Chongqing Technol & Business Univ, Res Ctr Econ Upper Reaches Yangtse River, Chongqing 400067, Peoples R China
[3] Chongqing Yukang Asset Management Co Ltd, Chongqing 400020, Peoples R China
[4] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing 400044, Peoples R China
[5] Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
China; building stock; energy consumption in the building sector; residential building; commercial building; ENERGY-CONSUMPTION; CO2; EMISSIONS; INDUSTRIAL SECTOR; DEMOLITION WASTE; STOCK DYNAMICS; DECOMPOSITION; CONSTRUCTION; ENVIRONMENT; STRATEGIES; EFFICIENCY;
D O I
10.3390/ijerph17165967
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The amount of building floor space (BFS) plays a key role in the energy and material demand prediction. Unfortunately, BFS estimation has faced the challenge of ineffective and inadequate approaches, and thus reliable data concerning China's BFS is unavailable. This study proposes a new estimation method for China's BFS and then estimates historical BFS by type in China from 1996 to 2014. The results show that total Chinese BFS grew from 28.1 billion m(2)in 1996 to 61.3 billion m(2)in 2014, increasing more than twice, with an annual growth rate of 4.4% from 1996 to 2014. During 1996-2014, urban residential BFS witnessed the highest annual increase rate (9.3%), while the growth rate for commercial and rural residential BFS was lower: 4.4% and 1.6%, respectively. By comparing with available statistics data, this study finds the model deviations are well below 5%, which indicates the reliability of the proposed method and robustness of the results. The proposed method not only can address the deficiencies of statistic yearbook and overcome the shortages of previous estimation approaches but also can derive more accurate and reliable data. This study lays a sound basis for the following study on building stock and building energy efficiency work.
引用
收藏
页码:1 / 17
页数:17
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