Exploring normative scenarios of land use development decisions with an agent-based simulation laboratory

Computers, Environment and Urban Systems

Volumn 34, Issue 5, 2010, Pages 409-423

  Ligmann Zielinska, Arika ^a   Jankowski, Piotr ^b,c  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b SAN DIEGO STATE UNIVERSITY   (United States)

^c NONE   (United States)

Author keywords

Agent based model; Landscape fragmentation; Model aligning; Multiobjective land use allocation

Indexed keywords

AGENT BASED SIMULATION; AGENT-BASED MODEL; AGENT-BASED MODELING; BOTTOM-UP MODELING; DYNAMIC PROCESS; INDIVIDUAL AGENT; LAND USE ALLOCATION; LAND USE MODELS; LANDSCAPE FRAGMENTATION; LOCAL PLANNING; LOCAL PROPERTY; MODELING METHODOLOGY; MULTI OBJECTIVE; NORMATIVE SCENARIOS; RESEARCH QUESTIONS; RESIDENTIAL DEVELOPMENT; TOPDOWN; URBAN DWELLERS; URBAN GROWTH;

COMPETITION; LAWS AND LEGISLATION; MULTIOBJECTIVE OPTIMIZATION; ZONING;

LAND USE;

BOTTOM-UP APPROACH; LAND USE LOCATION; LAND USE PLANNING; LANDSCAPE PLANNING; LOCATION DECISION; NUMERICAL MODEL; PROPERTY MARKET; RESIDENTIAL DEVELOPMENT; SUBURBAN AREA; URBAN GROWTH; URBAN PLANNING; ZONING SYSTEM;

EID: 77955096028     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2010.05.005     Document Type: Article

References (38)

1. Agarwal, C., Green, G. M., Grove, J. M., Evans, T. P., & Schweik, C. M. (2002). A review and assessment of land-use change models: Dynamics of space, time, and human choice, Gen. Tech. Rep. NE-297 (61 p.). Newton Square, PA: US Department of Agriculture, Forest Service, Northeastern Research Station. http://www.treesearch.fs.fed.us/pubs/5027.
2. Axtell R., Axelrod R., Epstein J.M., Cohen M.D. Aligning simulation models: A case study and results. Computational and Mathematical Organization Theory 1996, 1(2):123-141.
3. Barton H. Local global planning. The Planner 1990, 26(October):12-15.
4. Benenson I., Torrens P. Geosimulation automata-based modeling of urban phenomena 2004, John Wiley & Sons, Ltd.
5. Brill E.D. The use of optimization models in public-sector planning. Management Science 1979, 25(5):413-422.
6. Brill E.D., Chang S-Y., Hopkins L.D. Modeling to generate alternatives: The HSJ approach and an illustration using a problem in land use planning. Management Science 1982, 28(3):221-235.
7. Brookes C.J. A parameterized region growing program for the site allocation on raster suitability maps. International Journal of Geographical Information Science 1997, 11:375-396.
8. Brown D.G., Page S.E., Riolo R., Rand W. Agent-based and analytical modeling to evaluate the effectiveness of greenbelts. Environmental Modelling and Software 2004, 19(12):1097-1109.
9. Brown D.G., Robinson D.T. Effects of heterogeneity in residential preferences on an agent-based model of urban sprawl. Ecology and Society 2006, 11:46. .
10. Castella J.-C., Pheng Kam S., Dinh Quang D., Verburg P.H., Thai Hoanh C. Combining top-down and bottom-up modelling approaches of land use/cover change to support public policies: Application to sustainable management of natural resources in northern Vietnam. Land Use Policy 2007, 24:531-545.
11. Casti J.L. The computer as a laboratory. Complexity 1999, 4:12-14.
12. City of Chelan (2000). Chelan County Comprehensive Plan, amended 12-2002, copy available from the City of Chelan, 135 East Johnson, P.O. Box 1669, Chelan, WA 98816.
13. Cohon J.L. Multiobjective programming and planning 1978, Academic Press, New York.
14. Devisch O.T.J., Timmermans H.J.P., Arentze T.A., Borgers A.W.J. An agent-based model of residential choice dynamics in nonstationary housing markets. Environment and Planning A 2009, 41:1997-2013.
15. Douglas County (2007). Douglas County Countywide Comprehensive Plan, amended 01-2007. < Accessed December 2007. http://www.douglascountywa.net/.
16. Duh J.-D., Brown D.G. Generating prescribed patterns in landscape models, GIS, spatial analysis, and modeling 2005, 405-426. ESRI Press. D. Maguire, M. Batty, M. Goodchild (Eds.).
17. Fisher P. The property development process: Case studies from Grainger Town. Property Management 2005, 23:158-175.
18. Hales D., Rouchier J., Edmonds B. Model-to-model analysis. Journal of Artificial Societies and Social Simulation 2003, 6:4. .
19. Harris B. Sketch planning: Systematic methods in planning and its support. Planning support systems integrating geographic information systems, models, and visualization tools 2001, 59-80. ESRI Press, Redlands, CA. R.K. Brail, R.E. Klosterman (Eds.).
20. Herwijnen M.V., Rietveld P. Spatial dimensions in multicriteria analysis. Spatial multicriteria decision making and analysis: A geographic information sciences approach 1999, 77-99. Ashgate, Aldershot, UK. J.-C. Thill (Ed.).
21. Kemeny J.G., Thompson G.L. The effect of psychological attitudes on game outcomes. Annals of mathematical studies 1957, Vol. 3:273-298. Princeton University Press, Princeton, NJ.
22. Ligmann-Zielinska A. The impact of risk-taking attitudes on a land use pattern: An agent-based model of residential development. Journal of Land Use Science 2009, 4(4):215-232.
23. Ligmann-Zielinska A., Church R., Jankowski P. Spatial optimization as a generative technique for sustainable multiobjective landuse allocation. International Journal of Geographical Information Science 2008, 22(6):601-622.
24. Ligmann-Zielinska A., Jankowski P. Agent-based models as laboratories for spatially explicit planning policies. Environment and Planning B: Planning and Design 2007, 34:316-335.
25. Lilburne L., Tarantola S. Sensitivity analysis of spatial models. International Journal of Geographical Information Science 2009, 23:151-168.
26. McGarigal, K., & Marks, B. J. (1995). FRAGSTATS: Spatial pattern analysis program for quantifying landscape structure, general technical report PNW-GTR-351. Portland, OR: USDA Forest Service, Pacific Northwest Research Station.
27. O'Sullivan D., Haklay M. Agent-based models and individualism: Is the world agent-based?. Environment and Planning A 2000, 32:1409-1425.
28. Parker D.C., Manson S.M., Janssen M.A., Hoffman M.J., Deadman P. Multi-agent systems for the simulation of land use and land cover change: A review. Annals of the Association of American Geographers 2003, 93(2):314-337.
29. Randolph J. Environmental land use planning and management 2004, Island Press.
30. Robinson D.T., Brown D.G. Evaluating the effects of land-use development policies on ex-urban forest cover: An integrated agent-based GIS approach. International Journal of Geographical Information Science 2009, 23:1211-1232.
31. Saarloos D., Arentze T., Borgers A., Timmermans H. A multiagent model for alternative plan generation. Environment and Planning B: Planning and Design 2005, 32:505-522.
32. Saisana M., Saltelli A., Tarantola S. Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. Journal of the Royal Statistical Society Series A - Statistics in Society 2005, 168:307-323.
33. Tomlin C.D. Geographic information systems and cartographic modeling 1990, Prentice Hall, Englewood Cliffs, NJ.
34. Trevillion E. Systems theory and the commercial development process - towards an understanding of complex behaviour and change. Development and developers: Perspectives on property 2002, 181-203. Blackwell Science. S. Guy, J. Henneberry (Eds.).
35. Tversky A., Kahneman D. The framing of decisions and the psychology of choice. Science, New Series 1981, 211(4481):453-458.
36. Verburg P.H. Simulating feedbacks in land use and land cover change models. Landscape Ecology 2006, 21:1171-1183.
37. Verburg P.H., Overmars K.P. Combining top-down and bottom-up dynamics in land use modeling: Exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model. Landscape Ecology 2009, 24:1167-1181.
38. Ward D.P., Murray A.T., Phinn S.R. Integrating spatial optimization and cellular automata for evaluating urban change. The Annals of Regional Science 2003, 37:131-148.