id |
ddss2008-26 |
authors |
Slager, C.T.J.; B. de Vries, A.K. Bregt and A.J. Jessurun |
year |
2008 |
title |
Methodology to generate landscape configurations foruse in multi-actor plan-making processes |
source |
H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD |
summary |
In this paper, we investigate an approach to generate landscape configurations for use in multi-actor plan-making processes. Using the information from predefined lot typologies, a heuristic allocation method, consisting of a suitability function and an allocation mechanism of lot components is explained. The suitability function is primarily based on adjacency and distance parameters as found in landscape design literature. The allocation mechanism starts from a random but constrained initial situation, and generates a plausible lot configuration by orderly swapping pairs of cells thereby increasing the overall suitability of the plan . From the results, the limitations of this approach are concluded and the concepts are presented for an improved landscape generation algorithm. |
keywords |
Landscape configurations, spatial allocation, Landscape grammar, Cellular automata, Genetic Algorithms, Simulated Annealing |
series |
DDSS |
full text |
file.pdf (190,443 bytes) |
references |
Content-type: text/plain
|
Aerts, J. C. J. H. and G. B. M. Heuvelink (2002)
Using simulated annealing for resource allocation
, International Journal of Geographic Information Science, 16(6), p. 571-587
|
|
|
|
Arentze, T. A., A. W. J. Borgers and H. J. P. Timmermans (2006)
A heuristic method for land-use plan generation in planning support systems
, J. P. van Leeuwen and H. J. P. Timmermans (eds.) Progress in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven, The Netherlands, Springer, Dordrecht, p. 135-152
|
|
|
|
Duh, J.-D. and D. G. Brown (2007)
Knowledge-informed Pareto simulated annealing for multi- objective spatial allocation
, Computers, Environment and Urban Systems, 31, p. 253-281
|
|
|
|
Däne, S. and A. van den Brink (2007)
Perspectives on citizen participation in spatial planning in Europe
, A. van den Brink, R. J. A. van Lammeren, R. van de Velde and S. Däne (eds.) Geo-visualisation for participatory spatial planning in Europe: Imaging the future, Wageningen Academic Publishers, Wageningen, p. 33-50
|
|
|
|
Feng, C.-H. and J.-J. Lin (1999)
Using a genetic algorithm to generate alternative sketch maps for urban planning
, Computers, Environment and Urban Systems, 23, p. 91-108
|
|
|
|
Geertman, S. and J. Stillwell (2004)
Planning support systems: an inventory of current practice
, Computers, Environment and Urban Systems, 28, p. 291-310
|
|
|
|
Goldberg, D. E. (1989)
Genetic Algorithms in Search
, Optimization and Machine Learning, Addison-Wesley, Reading, MA
|
|
|
|
Holland, J. H. (1975)
Adaptation in Natural and Artificial Systems
, University of Michigan Press, Ann Arbor, MI
|
|
|
|
Itami, R. M. (1994)
Simulating spatial dynamics: cellular automata theory
, Landscape and Urban Planning, 30, p. 27-47
|
|
|
|
Jiao, J. and L. Boerboom (2006)
Transition Rule Elicitation Methods for Urban Cellular Automata Models
, J. P. van Leeuwen and H. J. P. Timmermans (eds.) Innovations in Design & Decision Support Systems in Architecture and Urban Planning, Springer, Dordrecht, p. 53-68
|
|
|
|
Kirkpatrick, S., C. D. Gelatt and M. P. Vecchi (1983)
Optimization by Simulated Annealing
, Science, 220(4598), p. 671-680
|
|
|
|
Lau, K. H. and B. H. Kam (2005)
A cellular automata model for urban land-use simulation
, Environment and Planning B: Planning and Design, 32, p. 247-263
|
|
|
|
Loonen, W., P. S. C. Heuberger, A. H. Bakema and P. Schot (2007)
Improving the spatial coherence of nature areas using genetic algorithms
, Environment and Planning B: Planning and Design, 34, p. 369-378
|
|
|
|
Mayall, K. and G. B. Hall (2005)
Landscape Grammar 1: spatial grammar theory and landscape planning
, Environment and Planning B: Planning and Design, 32, p. 895 - 920
|
|
|
|
Mayall, K. and G. B. Hall (2007)
Landscape Grammar 2: implementation
, Environment and Planning B: Planning and Design, 34, p. 28-49
|
|
|
|
Parker, D. C., S. M. Manson, M. A. Janssen, M. J. Hoffmann and P. Deadman (2003)
Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review
, Annals of the Association of American Geographers, 93(2), p. 314-337
|
|
|
|
Stevens, D. and S. Dragicevic (2007)
A GIS-based irregular cellular automata model of land-use change
, Environment and Planning B: Planning and Design, 34, p. 708-724
|
|
|
|
Wolfram, S. (1984)
Cellular automata as models of complexity
, Nature, 31(4), p. 419-424
|
|
|
|
Zhang, X. and M. P. Armstrong (2008)
Genetic algorithms and the corridor location problem: multiple objectives and alternative solutions
, Environment and Planning B: Planning and Design, 35, p. 148-168
|
|
|
|
last changed |
2008/09/01 17:06 |
|