DocumentCode
3584087
Title
Complex urban system simulations based on generalized information entropy principle
Author
Shao, Xiao ; Chai, Li He
Author_Institution
Sch. of Environ. Sci. & Eng., Tianjin Univ., Tianjin, China
Volume
3
fYear
2010
Firstpage
1619
Lastpage
1623
Abstract
The generalized information entropy (GIE) has been introduced to describe complex interactions among agents in complex urban system (CUS). Basing on maximum generalized information entropy principle (MGIEP), a dynamic model and detailed simulations that can reveal agents´ interactions and evolutionary mechanism of complex urban patterns are then proposed. Urban evolutionary pattern analyses of Shanghai City in China are conducted as a typical application. It is confident that the present framework can provide a brand new approach to investigate general CUS.
Keywords
entropy; simulation; town and country planning; agent interactions; complex urban system simulation; evolutionary mechanism; generalized information entropy principle; urban evolutionary pattern analysis; Biological system modeling; Cities and towns; Construction industry; Economic indicators; Investments; Mathematical model; Roads; complex urban system; generalized information entropy; maximum generalized information entropy principle;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583767
Filename
5583767
Link To Document