Discovering and evaluating urban signatures for simulating compact development using cellular automata Export

@article{citeulike:2753713, abstract = {This paper provides a new method for retrieving, evaluating and modifying urban signatures for simulating compact development using urban cellular automata (CA). Urban CA usually adopt fixed transition rules for simulating urban dynamics in large complex regions. However, these regions can be segmented into sub-regions so that separate transition rules can be retrieved for generating better simulation results. Moreover, urban signatures or "genes" can be extracted from GIS data to assist the understanding of urban evolution for each sub-region. Good "genes" from a sub-region can be cloned to other sub-regions for producing better urban forms. A heuristic swapping technique is developed to modify existing "genes" so that compact development patterns can be generated for planning purposes. The proposed method has been applied to the simulation of compact development in the Pearl River Delta. The analysis indicates that this model can help improve the compactness of urban development in this fast growing region.}, author = {Li, Xia and Yang, Qingsheng and Liu, Xiaoping}, citeulike-article-id = {2753713}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.landurbplan.2008.02.005}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6V91-4S8621C-3/1/2d575c826971d2110b64c4bd76a39540}, day = {26}, doi = {10.1016/j.landurbplan.2008.02.005}, journal = {Landscape and Urban Planning}, keywords = {cellular-automata, urban, urban-growth}, month = {May}, number = {2}, pages = {177--186}, posted-at = {2008-05-04 17:08:38}, priority = {2}, title = {Discovering and evaluating urban signatures for simulating compact development using cellular automata}, url = {http://dx.doi.org/10.1016/j.landurbplan.2008.02.005}, volume = {86}, year = {2008} }

TY - JOUR ID - citeulike:2753713 L3 - citeulike-article-id:2753713 N2 - This paper provides a new method for retrieving, evaluating and modifying urban signatures for simulating compact development using urban cellular automata (CA). Urban CA usually adopt fixed transition rules for simulating urban dynamics in large complex regions. However, these regions can be segmented into sub-regions so that separate transition rules can be retrieved for generating better simulation results. Moreover, urban signatures or "genes" can be extracted from GIS data to assist the understanding of urban evolution for each sub-region. Good "genes" from a sub-region can be cloned to other sub-regions for producing better urban forms. A heuristic swapping technique is developed to modify existing "genes" so that compact development patterns can be generated for planning purposes. The proposed method has been applied to the simulation of compact development in the Pearl River Delta. The analysis indicates that this model can help improve the compactness of urban development in this fast growing region. IS - 2 JF - Landscape and Urban Planning EP - 186 TI - Discovering and evaluating urban signatures for simulating compact development using cellular automata VL - 86 SP - 177 KW - cellular-automata KW - urban KW - urban-growth AU - Li, Xia AU - Yang, Qingsheng AU - Liu, Xiaoping PY - 2008/05/26/ UR - http://dx.doi.org/10.1016/j.landurbplan.2008.02.005 ER -