Integrated modelling of population, employment and land-use change with a multiple activity-based variable grid cellular automaton

International Journal of Geographical Information Science

Volumn 26, Issue 7, 2012, Pages 1251-1280

  White, Roger ^a   Uljee, Inge ^b   Engelen, Guy ^b  

^a MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

^b FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

Author keywords

activity based model; cellular automaton; integrated modelling; multiple activity; multiple land use; variable grid

Indexed keywords

CELLULAR AUTOMATON; EMPLOYMENT; LAND USE CHANGE; NUMERICAL MODEL; POPULATION MODELING; RURAL AREA; SPATIAL ANALYSIS; URBAN AREA;

BELGIUM; COUNTY DUBLIN; DUBLIN [COUNTY DUBLIN]; IRELAND; LEINSTER;

EID: 84864698313     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2011.635146     Document Type: Article

References (34)

1. Andersson, C., Rasmussen, S. and White, R. 2002a. Urban settlement transitions. Environment and Planning B, 29: 841-865.
2. Andersson, C. 2002b. Urban growth simulation from first principles. Physical Review E, 66: 1-9.
3. Batty, M. and Xie, Y. 1994. From cells to cities. Environment and Planning B, 21: 31-48.
4. Brown, D. 2005. Path dependence and the validation of agent-based spatial models of land use. International Journal of Geographical Information Science, 19: 153-174.
5. Caruso, G. 2007. Spatial configurations in a periurban city: a cellular automata-based microeconomic model. Regional Science and Urban Economics, 37: 542-567.
6. Clarke, K. and Gaydos, L. 1998. Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, 12: 699-714.
7. Couclelis, H. 1989. Macrostructure and microbehavior in a metropolitan area. Environment and Planning B: Planning and Design, 16: 141-154.
8. Engelen, G. and White, R. 2007. "Validating and calibrating integrated cellular automata based models of land use change". In The dynamics of complex urban systems. An interdisciplinary approach, Edited by: Albeverio, S. 185-211. Physica.
9. Engelen, G., White, R. and De Nijs, T. 2003. Environment explorer: spatial support system for the integrated assessment of socio-economic and environmental policies in the Netherlands. Integrated Assessment, 4: 97-105.
10. Engelen, G., White, R. and Uljee, I. 1997. "Integrating constrained cellular automata models, GIS and decision support tools for urban and regional planning and policy making". In Decision support systems in urban planning, Edited by: Timmermans, H. 125-155. London: E & FN Spon. In
11. Engelen, G. 2007. "The MOLAND modelling framework for urban and regional land use dynamics". In Modelling land-use change: progress and applications, Edited by: Koomen, E. 297-320. Springer. In
12. Frankhauser, P. 1991. Aspects fractals des structures urbaines. L'Espace Géographique, 1: 45-69.
13. Frankhauser, P. 1994. La Fractilité des structures urbaines, Paris: Economica.
14. Gallego, J. and Peedell, S. 2001. Using CORINE land cover to map population density. Towards agri-environmental indicators: integrating statistical and administrative data with land cover information,: 92-104. Toward Agri-Environmental Indicators, EEA, Copenhagen (Topic Report 6/2001)
15. Harvey, J. 2002. Estimating census district populations from satellite imagery: some approaches and limitations. International Journal of Remote Sensing, 23: 2071-2095.
16. Li, X. and Yeh, A. 2000. Modelling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science, 14: 131-152.
17. Poelmans, L. and Van Rompaey, A. 2010. Complexity and performance of urban expansion models. Computers, Environment, and Urban Systems, 34: 17-27.
18. Portugali, J. and Benenson, I. 1995. Artificial planning experience by means of a heuristic cell-space model: simulating international migration in the urban process. Environment and Planning A, 27: 1647-1665.
19. Shahumyan, H. 2011. Urban development scenarios and probability mapping for the greater Dublin region: the MOLAND model applications. Lecture Notes in Computer Science, 6782: 119-134. Part I
20. Tobler, W. 1979. Smooth pycnophylactic interpolation for geographic regions. Journal of the American Statistical Association, 74: 519-536.
21. van Delden, H. 2010. The Xplorah SDSS: supporting integrated planning on the island of Puerto Rico, Maastricht: Research Institute for Knowledge Systems.
22. van Vliet, J., White, R. and Dragicevic, S. 2009a. Modeling urban growth using a variable grid cellular automaton. Computers, Environment and Urban Systems, 33: 35-43.
23. van Vliet, J. Xplorah Municipio: a multi resolution spatial decision support system. Advances in GIScience: Proceedings of the 12th AGILE international conference on geographic information science Springer-Verlag. Edited by: Sester, M., Bernard, L. and Paelke, V.
24. van Vliet, J. 2011. An activity based cellular automaton model to simulate land use dynamics. Environment and Planning B, 29: 431-450.
25. White, R. 2005. "Modelling multi-scale processes in a cellular automata framework". In Complex artificial environments, Edited by: Portugali, J. 165-178. Springer.
26. White, R. 2006. Pattern based map comparisons. Journal of Geographical Systems, 8: 145-164.
27. White, R. 2007. "Multi-scale modelling with variable grid CA". In Proceedings of the 15th European colloquium on theoretical and quantitative geography, 443-450. Switzerland: Montreux.
28. White, R. and Engelen, G. 1993. Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban form. Environment and Planning A, 25: 1175-1199.
29. White, R. and Engelen, G. 2000. High resolution integrated modelling of the spatial dynamics of urban and regional systems. Computers, Environment, and Urban Systems, 24: 383-400.
30. White, R., Engelen, G. and Uljee, I. 1997. The use of constrained cellular automata for high-resolution modelling of urban land-use dynamics. Environment and Planning B, 24: 323-343.
31. White, R., Shahumyan, H. and Uljee, I. 2011. "Activity based variable grid cellular automata for urban and regional modelling". In Advanced geosimulation models, Edited by: Marceau, D. and Benenson, I. 14-29. Bentham.
32. Wu, C. and Murray, A. 2007. Population estimation using Landsat enhanced thematic mapper imagery. Geographical Analysis, 39: 26-43.
33. Wu, F. and Webster, C. 1998. Simulation of land development through the integration of cellular automata and multicriteria evaluation. Environment and Planning B, 25: 103-126.
34. Xie, Y. 1996. A generalized model for cellular urban dynamics. Geographical Analysis, 28: 350-373.