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
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;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583767
