عنوان مقاله [English]
Simulation is the most appropriate urban design and planning environment and presents a unique field of study in urban models in urban development projects. The use of mathematics and quantitative and qualitative models has always been a concern for urban planners. Modeling phenomena and urban dynamic elements is usually confronted with technological constraints and difficulties.
Each of the graphical models (structural and vector-based models) has some shortcomings in the simulation of dynamic urban phenomena.
This paper intends to examine the limitations of cell-axis models in a simulation system and provide a new model for integrating vector-based spatial model with the cellular system.
1- Batty,M and Torrens,P.M.(2000) Modelling Complexity: The Limits to Prediction, In The Advanced Spatial Analysis (CASA), Working paper series, No.36.
2- Batty, M, and Xie, Y(1997) Possible urban automata, Environment and Planning B,24,PP.175-192.
3- Benenson, I., Aronovich,S., and Noam, S. (2001), OBEUS: Object-Based Environment for Urban Simulation, In Proceedings of the Gth international Conference on Geo Computation, University of Queensland, Brisbane, Australia.
4- Engelen, G., Geertman,S., Smits, P., and Uljee,I.(1999), Dynamic GIS and strategic Physical planning support: a practical application, In Stillwell, J., Geertman, S., and Openshow,s.,(eds) Geographical Information and Planning: Advances in spatial science, Springer, Berlin.
5- Fenga, Y., et,al.(2011) Modeling dynamic urban growth using cellular automata and particle swarm optimization rules. Inter national Journal of Landscape and Urban Planning 102(3): pp 188-196.
6- Gimblett, H.R.(2002), Integrating geographic information systems and agent-based technologies for modelling and simulating Social and ecological phenomena, In Gimblett, H.R.(ed) Integrating Geographic In formation Systems and Agent-based Modelling Techniquse for Simulating Social and Ecological Processes, A volume in The Santa Fe Institute studies in the Sciences of Complexity, Oxford University Press,
7- Haugeneder, H., and Steiner, D.(1998) Co- operating agents: Cocepts and application, in N.R.Jenmings and M.J.Wooldridge (eds) Agent Technolagy: Foundation, Application and Markets, Springer, Berlin, London.
8- Loibl, W., Giffinger, R., and Toetzer, T.(2002), Growth and densification processes in suburban Landscape: a spatial agent-simulation, In the 5th AGLLE conference on Geographic information science, palma, Balearic Island, Spain.
9- Rodrigues, A., Grueau, C., Raper, J., and Neves, N.(1998). Environmental Planning using spatial agents, in Carrer,s.(ed) Innovation in GIS 5, Taylor & Francis, London.
10- Torrens, P.M.(1997). How Land-use-Transportation Models Models Work, In The Advanced Spatial Analysis (CASA), Working paper series, No.20.
11- Wilson,A.G.(2000), Complex Spatial Systems: the Modelling Foundations of Urban and Regional Analysis, Pearson Education Limited, England.