Extended Cellular Automata Based Model for Simulating Multi-Scale Urban Growth Using GIS
Authors
Yongjiu Feng1, Xiaohua Tong, Miaolong Liu
1Department of Surveying and Geo-informatics, Tongji University
Corresponding Author
Yongjiu Feng
Available Online October 2007.
- DOI
- 10.2991/iske.2007.20How to use a DOI?
- Keywords
- Extended cellular automata; Geographical information system; Urban growth; Multi-scale dynamic simulation
- Abstract
Cellular Automata (CA) have attracted growing attention in urban simulation because their capability in spatial modelling is not fully developed in GIS. A “bottom-up” model is proposed for simulating complex urban system based on the integration of extended cellular automata (ECA) and geographic information system (GIS). The entity framework of the model is established for multi-scale land use changes and urban growth. The model has been successfully applied to the simulation of three urban areas at different scales: Pudong New District, Lujiazui Finance & Trade Zone and Sanlin Town in Shanghai, China.
- Copyright
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yongjiu Feng AU - Xiaohua Tong AU - Miaolong Liu PY - 2007/10 DA - 2007/10 TI - Extended Cellular Automata Based Model for Simulating Multi-Scale Urban Growth Using GIS BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 111 EP - 117 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.20 DO - 10.2991/iske.2007.20 ID - Feng2007/10 ER -