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Quantitative Analysis of Dynamic Behaviours of Rural Areas at Provincial Level Using Public Data of Gross Domestic Product
Chen, Yi1,2; Zhang, Guangfeng3,4; Li, Yiyang5; Ding, Yi6; Zheng, Bin7; Miao, Qiang1
2013
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.
关键词spatial analysis functional region dynamic behaviours social behaviours carbon dioxide emission public data gross domestic product swarm algorithm artificial fish
DOI10.3390/e15010010
URL查看原文
发表期刊ENTROPY
ISSN1099-4300
卷号15期号:1页码:10-31
通讯作者Zheng, B (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 401120, Peoples R China.
收录类别SCI
WOS记录号WOS:000314022000002
语种英语