Quantitative Analysis of Dynamic Behaviours of Rural Areas at Provincial Level Using Public Data of Gross Domestic Product

被引：8
|
作者：
Chen, Yi [1 ,2 ]
Zhang, Guangfeng [3 ,4 ]
Li, Yiyang [5 ]
Ding, Yi [6 ]
Zheng, Bin [7 ]
Miao, Qiang [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 611731, Peoples R China
[2] Glasgow Caledonian Univ, Sch Engn & Built Environm, Glasgow G4 0BA, Lanark, Scotland
[3] Aix Marseille Univ, Sch Econ, GREQAM, F-13236 Marseille, France
[4] Univ Glasgow, Adam Smith Business Sch, Dept Econ, Glasgow G12 8RT, Lanark, Scotland
[5] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Sha Tin, Hong Kong, Peoples R China
[6] Tech Univ Denmark, Dept Elect Engn, DK-2800 Lyngby, Denmark
[7] Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 401120, Peoples R China
来源：
ENTROPY | 2013年 / 15卷 / 01期
基金：
中国国家自然科学基金;
关键词：
spatial analysis; functional region; dynamic behaviours; social behaviours; carbon dioxide emission; public data; gross domestic product; swarm algorithm; artificial fish; GENETIC ALGORITHM; EMISSIONS;
D O I：
10.3390/e15010010
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
A spatial approach that incorporates three economic components and one environmental factor has been developed to evaluate the dynamic behaviours of the rural areas at a provincial level. An artificial fish swarm algorithm with variable population size (AFSAVP) is proposed for the spatial problem. A functional region affecting index (Theta) is employed as a fitness function for the AFSAVP driven optimisation, in which a gross domestic product (GDP) based method is utilised to estimate the CO2 emission of all provinces. A simulation for the administrative provinces of China has been implemented, and the results have shown that the modelling method based on GDP data can assess the spatial dynamic behaviours and can be taken as an operational tool for the policy planners.
引用
收藏
页码：10 / 31
页数：22
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