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Volumn 24, Issue 1, 2012, Pages 35-52

Integration of a GIS-Bayesian Network agent-based model in a planning support system as framework for policy generation

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[No Author keywords available]

Indexed keywords


EID: 84865788326     PISSN: 10458077     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (43)
  • 1
    • 33947123435 scopus 로고    scopus 로고
    • Cities and complexity: Understanding cities with cellular automata, agent-based models, and fractals
    • Cambridge, MA: MIT Press
    • Batty, M. 2005. Cities and complexity: Understanding cities with cellular automata, agent-based models, and fractals. Cambridge, MA: MIT Press.
    • (2005)
    • Batty, M.1
  • 2
    • 33750116695 scopus 로고    scopus 로고
    • Agent-based modeling: From individual residential choice to urban residential dynamics
    • Goodchild, M. F., and D. G. Janelle, Eds. New York: Oxford University Press, pp
    • Benenson, I. 2004. Agent-based modeling: From individual residential choice to urban residential dynamics. Goodchild, M. F., and D. G. Janelle, Eds. Spatially integrated social science. New York: Oxford University Press, pp. 67-95.
    • (2004) Spatially integrated social science , pp. 67-95
    • Benenson, I.1
  • 3
    • 84865730452 scopus 로고    scopus 로고
    • Surrey official community plan by-law 12900
    • City of Surrey. accessed April 22, 2011
    • City of Surrey. 1996. Surrey official community plan by-law 12900. Http://www.surrey.ca/bylawsandcouncillibrary/REG_OCP_12900.pdf, accessed April 22, 2011.
    • (1996)
  • 5
    • 84865730451 scopus 로고    scopus 로고
    • ESRI. accessed April 22, 2011.
    • ESRI. 2011. Http://www.esri.com, accessed April 22, 2011.
    • (2011)
  • 6
    • 0004098104 scopus 로고    scopus 로고
    • Bounded rationality the adaptive toolbox
    • Cambridge, MA: MIT Press
    • Gigerenzer, G., and R. Selten. 2001. Bounded rationality the adaptive toolbox. Cambridge, MA: MIT Press.
    • (2001)
    • Gigerenzer, G.1    Selten, R.2
  • 7
    • 2942535617 scopus 로고    scopus 로고
    • How to build and use agent-based models in social science
    • Gilbert, N., and P. Terna. 2000. How to build and use agent-based models in social science. Mind and Society 1(1): 57-72.
    • (2000) Mind and Society , vol.1 , Issue.1 , pp. 57-72
    • Gilbert, N.1    Terna, P.2
  • 8
    • 0009551865 scopus 로고    scopus 로고
    • Spatiallyexplicit autonomous agents for modeling recreation use in complex wilderness landscapes
    • Gimblett, H. R., B. Durnota, and B. Itami. 1996. Spatiallyexplicit autonomous agents for modeling recreation use in complex wilderness landscapes. Complexity International 3.
    • (1996) Complexity International , pp. 3
    • Gimblett, H.R.1    Durnota, B.2    Itami, B.3
  • 9
    • 33749009022 scopus 로고    scopus 로고
    • A probe mechanism to couple spatially explicit agents and landscape models in an integrated modeling framework
    • Graniero, P. A., and V. B. Robinson. 2006. A probe mechanism to couple spatially explicit agents and landscape models in an integrated modeling framework. International Journal of Geographic Information Science 20 (9): 965-90.
    • (2006) International Journal of Geographic Information Science , vol.20 , Issue.9 , pp. 965-90
    • Graniero, P.A.1    Robinson, V.B.2
  • 10
    • 2042501491 scopus 로고    scopus 로고
    • Pssd-Planning system for sustainable development
    • The methodical report, accessed April 22, 2011
    • Hansen, H. 2001. Pssd-Planning system for sustainable development. The methodical report. Http://www2.dmu. dk/1_viden/2_Publikationer/3_fagrapporter/abstrakter/ abs_351_uk.asp, accessed April 22, 2011.
    • (2001)
    • Hansen, H.1
  • 13
    • 36148984256 scopus 로고    scopus 로고
    • Modeling urban growth in Atlanta using logistic regression
    • Hu, Z., and C. P. Lo. 2007. Modeling urban growth in Atlanta using logistic regression. Computers, Environment and Urban Systems 31: 667-88.
    • (2007) Computers, Environment and Urban Systems , vol.31 , pp. 667-88
    • Hu, Z.1    Lo, C.P.2
  • 14
    • 0035020028 scopus 로고    scopus 로고
    • Theory, data, methods: Developing spatially explicit economic models of land use change
    • Irwin, E. G., and J. Geoghegan. 2001. Theory, data, methods: Developing spatially explicit economic models of land use change. Agriculture, Ecosystems and Environment 85 (1-3): 7-24.
    • (2001) Agriculture, Ecosystems and Environment , vol.85 , Issue.1-3 , pp. 7-24
    • Irwin, E.G.1    Geoghegan, J.2
  • 15
    • 21744457474 scopus 로고    scopus 로고
    • Multiagent land-use and transport model for the policy evaluation of a compact city
    • Kii, M., and K. Doi. 2005. Multiagent land-use and transport model for the policy evaluation of a compact city. Environment and Planning B - Planning and Design 32(4): 485-504.
    • (2005) Environment and Planning B - Planning and Design , vol.32 , Issue.4 , pp. 485-504
    • Kii, M.1    Doi, K.2
  • 16
    • 0032775047 scopus 로고    scopus 로고
    • The what if? colloborative planning support system
    • Klosterman, R. E. 1999. The what if? colloborative planning support system. Environment and Planning B 26(3): 393-408.
    • (1999) Environment and Planning B , vol.26 , Issue.3 , pp. 393-408
    • Klosterman, R.E.1
  • 17
    • 70350677898 scopus 로고    scopus 로고
    • Toward integration of Bayesian networks with geographic information systems and complex systems theory for urban land use change modelling
    • Burnaby: Simon Fraser University Ph.D. Thesis
    • Kocabas, V. 2008. Toward integration of Bayesian networks with geographic information systems and complex systems theory for urban land use change modelling. Burnaby: Simon Fraser University Ph.D. Thesis.
    • (2008)
    • Kocabas, V.1
  • 18
    • 84865797171 scopus 로고    scopus 로고
    • Integrating GIS and Bayesian networks for a multi-agent model of land use change
    • 44th Annual Conference of the URISA Proceedings, Vancouver, Canada, September 26 to 29
    • Kocabas, V., and S. Dragicevic. 2006. Integrating GIS and Bayesian networks for a multi-agent model of land use change. 44th Annual Conference of the URISA Proceedings, Vancouver, Canada, September 26 to 29, http://downloads2.esri. com/campus/uploads/library/pdfs/64836.pdf.
    • (2006)
    • Kocabas, V.1    Dragicevic, S.2
  • 19
    • 21744432775 scopus 로고    scopus 로고
    • The Spartacus system for defining and analysing sustainable urban land use and transport policies
    • Geertman, S., and J. Stillwell, Eds. Heidelberg: Springer, pp
    • Lautso, K. 2002. The Spartacus system for defining and analysing sustainable urban land use and transport policies. In Geertman, S., and J. Stillwell, Eds. Planning support systems in practice. Heidelberg: Springer, pp. 453-63.
    • (2002) Planning support systems in practice , pp. 453-63
    • Lautso, K.1
  • 21
    • 35048874637 scopus 로고    scopus 로고
    • Arc_Mat, a Toolbox for using Arcview shape files for spatial econometrics and statistics
    • LeSage, J. P., and R. K. Pace. 2004. Arc_Mat, a Toolbox for using Arcview shape files for spatial econometrics and statistics. Lecture Notes in Computer Science 3234: 179-90.
    • (2004) Lecture Notes in Computer Science , vol.3234 , pp. 179-90
    • LeSage, J.P.1    Pace, R.K.2
  • 22
    • 40549110629 scopus 로고    scopus 로고
    • Embedding sustainable development strategies in agent-based models for use as a planning tool
    • Li, X., and X. Liu. 2008. Embedding sustainable development strategies in agent-based models for use as a planning tool. International Journal of Geographic Information Science 22(1): 21-45.
    • (2008) International Journal of Geographic Information Science , vol.22 , Issue.1 , pp. 21-45
    • Li, X.1    Liu, X.2
  • 23
    • 77951758166 scopus 로고    scopus 로고
    • The impact of risk-taking attitudes on a land use pattern: An agent-based model of residential development
    • Ligmann-Zielinska, A. 2009. The impact of risk-taking attitudes on a land use pattern: An agent-based model of residential development. Land Use Science 4(4): 215-32.
    • (2009) Land Use Science , vol.4 , Issue.4 , pp. 215-32
    • Ligmann-Zielinska, A.1
  • 24
    • 34247492499 scopus 로고    scopus 로고
    • Agent-based models as laboratories for spatially explicit planning policies
    • Ligmann-Zielinska, A., and P. Jankowski. 2007. Agent-based models as laboratories for spatially explicit planning policies. Environment and Planning B 34(2): 316-35.
    • (2007) Environment and Planning B , vol.34 , Issue.2 , pp. 316-35
    • Ligmann-Zielinska, A.1    Jankowski, P.2
  • 25
    • 33749018217 scopus 로고    scopus 로고
    • Bounded rationality in agent-based models: Experiments with evolutionary programs
    • Manson, S. M. 2006. Bounded rationality in agent-based models: Experiments with evolutionary programs. International Journal of Geographical Information Science 20(9): 991-1012.
    • (2006) International Journal of Geographical Information Science , vol.20 , Issue.9 , pp. 991-1012
    • Manson, S.M.1
  • 27
    • 84865718346 scopus 로고    scopus 로고
    • Getting Started with MATLAB
    • Mathworks. accessed April 22, 2011
    • Mathworks. 2011. Getting Started with MATLAB. Http://www. mathworks.com/access/helpdesk/help/ pdf_doc/matlab/ getstart.pdf, accessed April 22, 2011.
    • (2011)
  • 28
    • 84865722763 scopus 로고    scopus 로고
    • MetroVancouver. accessed April 22, 2011
    • MetroVancouver. 2011. Http://www.metrovancouver.org/Pages/default.aspx, accessed April 22, 2011.
    • (2011)
  • 32
    • 70449411063 scopus 로고    scopus 로고
    • Evaluating the effects of land-use development policies on ex-urban forest cover: An integrated agent-based GIS approach
    • Robinson, D., and D. G. Brown. 2009. 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 23(9): 1211-32.
    • (2009) International Journal of Geographical Information Science , vol.23 , Issue.9 , pp. 1-32
    • Robinson, D.1    Brown, D.G.2
  • 35
    • 84865722762 scopus 로고    scopus 로고
    • Statistics-Canada. accessed April 22, 2011
    • Statistics-Canada. 2011. Http://www.statcan.ca, accessed April 22, 2011.
    • (2011)
  • 36
    • 15044346032 scopus 로고    scopus 로고
    • Cellular automata and multi-agent systems as planning support tools
    • Geertman, S., and J. Stillwell, Eds. London: Springer- Verlag, pp.
    • Torrens, P. M. 2002. Cellular automata and multi-agent systems as planning support tools. In Geertman, S., and J. Stillwell, Eds. Planning support systems in practice. London: Springer- Verlag, pp. 205-22.
    • (2002) Planning support systems in practice , pp. 205-22
    • Torrens, P.M.1
  • 38
    • 34247515423 scopus 로고    scopus 로고
    • Modeling gentrification dynamics: A hybrid approach
    • Torrens, P. M., and A. Nara. 2007. Modeling gentrification dynamics: A hybrid approach. Computers, Environment and Urban Systems 31(3): 337-61.
    • (2007) Computers, Environment and Urban Systems , vol.31 , Issue.3 , pp. 337-61
    • Torrens, P.M.1    Nara, A.2
  • 39
    • 0036315749 scopus 로고    scopus 로고
    • Urbanism-modeling urban development for land use, transportation, and environmental lanning
    • Waddell, P. 2002. Urbanism-modeling urban development for land use, transportation, and environmental lanning. Journal of the American Planning Association 68(3): 297-314.
    • (2002) Journal of the American Planning Association , vol.68 , Issue.3 , pp. 297-314
    • Waddell, P.1
  • 40
    • 84865760254 scopus 로고    scopus 로고
    • WhatIf? accessed April 22, 2011
    • WhatIf? 2011. Http://www.whatiftechnologies.com/, accessed April 22, 2011.
    • (2011)
  • 41
    • 58149122774 scopus 로고    scopus 로고
    • Embracing complexity and uncertainty: The potential of agent-based modeling for environmental planning and policy
    • Zellner, M. 2008. Embracing complexity and uncertainty: The potential of agent-based modeling for environmental planning and policy. Planning Theory and Practice 9(4): 437-57.
    • (2008) Planning Theory and Practice , vol.9 , Issue.4 , pp. 437-57
    • Zellner, M.1
  • 42
    • 84861949273 scopus 로고    scopus 로고
    • Integrating land-use and groundwater modeling: Opportunities, challenges and implications for policy analysis
    • Zellner, M., and H. W. Reeves. 2010. Integrating land-use and groundwater modeling: Opportunities, challenges and implications for policy analysis. International Journal of Operations and Quantitative Management 16(4): 389-414.
    • (2010) International Journal of Operations and Quantitative Management , vol.16 , Issue.4 , pp. 389-414
    • Zellner, M.1    Reeves, H.W.2
  • 43
    • 56949106797 scopus 로고    scopus 로고
    • The emergence of zoning policy games in exurban jurisdictions: Informing collective action theory
    • Zellner, M. L., S. E. Page, W. Rand, D. G. Brown, D. T. Robinson, J. Nassauer, and B. Low. 2009. The emergence of zoning policy games in exurban jurisdictions: Informing collective action theory. Land Use Policy 26(2): 256-367.
    • (2009) Land Use Policy , vol.26 , Issue.2 , pp. 256-367
    • Zellner, M.L.1    Page, S.E.2    Rand, W.3    Brown, D.G.4    Robinson, D.T.5    Nassauer, J.6    Low, B.7


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