On the Modeling of a Sustainable System for Urban Development Simulation Using Data Mining and Distribute Agencies
Social Simulation allows us to experiment in the social arena while avoiding unnecessary expenses and potential threats;a clear example of this is reflected in the simulation of urban growth, particularly if done without losing sight of the sustainable development necessary for maintaining the overall equilibrium of a city. This article provides a hybrid methodology using Distributed Agencies, cellular automaton, and dynamical systems to model the social processes of urban growth; raking in the most important data of the methodology through a corresponding method of data mining. Through the use of a qualitative and quantitative method we provide some important advancements in the field for the development of an appropriate understanding of social, economic and environmental aspects of urban growth.
social simulation sustainable urban growth complex systems distributed agency data mining dynamical systems.
Bogart Yail Marquez Manuel Castanon-Puga Juan R. Castro E. Dante Suarez
Baja California Autonomous University Chemistry and Engineering Faculty,Calzada Tecnologic0 14418, T Trinity University,Department of Business Administration,One Trinity Place, San Antonio, TX. USA. 78
国际会议
成都
英文
580-585
2010-06-23（万方平台首次上网日期，不代表论文的发表时间）