Defining agents' behaviour based on urban economic theory to simulate complex urban residential dynamics

References

• An , L. 2005 . Exploring complexity in a human–environment system: an agent-based spatial model for multidisciplinary and multiscale integration . Annals of the Association of American Geographers , 95 ( 1 ) : 54 – 79 .
   Web of Science ®Google Scholar
• Anas , A. and Kim , I. 1996 . General equilibrium models of polycentric urban land use with endogenous congestion and job agglomeration . Journal of Urban Economics , 40 ( 2 ) : 232 – 256 .
   Web of Science ®Google Scholar
• Benenson , I. 1998 . Multi-agent simulations of residential dynamics in the city . Computers, Environment and Urban Systems , 22 ( 1 ) : 25 – 42 .
   Google Scholar
• Caruso , G. 2007 . Spatial configurations in a periurban city. A cellular automata-based microeconomic model . Regional Science and Urban Economics , 37 ( 5 ) : 542 – 567 .
   Web of Science ®Google Scholar
• 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 ( 7 ) : 699 – 714 .
   PubMed Web of Science ®Google Scholar
• Epstein , J. 1999 . Agent-based computational models and generative social science . Complexity , 4 ( 5 ) : 41 – 60 .
   Google Scholar
• Fujita , M. 1989 . Urban economic theory: land use and city size , Cambridge : Cambridge University Press .
   Google Scholar
• Irwin , E. and Geoghegan , J. 2001 . Theory, data, methods: developing spatially explicit economic models of land use change . Agriculture, Ecosystems & Environment , 85 ( 1–3 ) : 7 – 24 .
   Web of Science ®Google Scholar
• Jackson , J. , Forest , B. and Sengupta , R. 2008 . Agent based simulation of urban residential dynamics and land rent change in a gentrifying area of Boston . Transactions in GIS , 12 ( 4 ) : 475 – 491 .
   Google Scholar
• Jankowski , P. and Richard , L. 1994 . Integration of GIS-based suitability analysis and multicriteria evaluation in a spatial decision support system for route selection . Environment and Planning B: Planning and Design , 21 ( 3 ) : 323 – 340 .
   Web of Science ®Google Scholar
• Jepsen , M. 2006 . Agent-based modelling of shifting cultivation field patterns, Vietnam . International Journal of Geographical Information Science , 20 ( 9 ) : 1067 – 1085 .
   Web of Science ®Google Scholar
• Jiang , H. and Eastman , J.R. 2000 . Application of fuzzy measures in multi-criteria evaluation in GIS . International Journal of Geographical Information Science , 14 ( 2 ) : 173 – 184 .
   Web of Science ®Google Scholar
• Kii , M. and Doi , K. 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 .
   Web of Science ®Google Scholar
• Krugman , P. 1991 . Increasing returns and economic geography . Journal of political economy , 99 ( 3 ) : 483 – 499 .
   Web of Science ®Google Scholar
• Li , X. and Liu , X.P. 2007 . Defining agents' behaviors to simulate complex residential development using multicriteria evaluation . Journal of Environmental Management , 85 ( 4 ) : 1063 – 1075 .
   PubMed Web of Science ®Google Scholar
• Li , X. and Liu , X.P. 2008 . Embedding sustainable development strategies in agent-based models for use as a planning tool . International Journal of Geographical Information Science , 22 ( 1 ) : 21 – 45 .
   Web of Science ®Google Scholar
• Li , X. and Yeh , A.G.O. 2000 . Modelling sustainable urban development by the integration of constrained cellular automata and GIS . International Journal of Geographical Information Science , 14 ( 2 ) : 131 – 152 .
   Web of Science ®Google Scholar
• Li , X. and Yeh , A.G.O. 2002 . Urban simulation using principal components analysis and cellular automata for land-use planning . Photogrammetric Engineering and Remote Sensing , 68 ( 4 ) : 341 – 351 .
   Web of Science ®Google Scholar
• Li , X. and Yeh , A.G.O. 2004 . Data mining of cellular automata's transition rules . International Journal of Geographical Information Science , 18 ( 8 ) : 723 – 744 .
   Web of Science ®Google Scholar
• Li , X. 2011 . Concepts, methodologies, and tools of an integrated geographical simulation and optimization system . International Journal of Geographical Information Science , 25 ( 4 ) : 633 – 655 .
   Web of Science ®Google Scholar
• Ligtenberg , A. , Bregt , A. and Van Lammeren , R. 2001 . Multi-actor-based land use modelling: spatial planning using agents . Landscape and Urban Planning , 56 ( 1–2 ) : 21 – 33 .
   Web of Science ®Google Scholar
• Lu , L. , Wang , J. and Wei , Y. 2006 . Spatial restructuring in Guangzhou City in the context of globalization and the new economy . Acta Geographica Sinica , 61 ( 8 ) : 798 – 808 .
   Google Scholar
• Parker , D. 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 ) : 314 – 337 .
   Web of Science ®Google Scholar
• Parsons , S. , Gmytrasiewicz , P.J. and Wooldridge , M.J. 2002 . Game theory and decision theory in agent-based systems , Norwell , MA : Kluwer Academic .
   Google Scholar
• Schelling , T. 1971 . Dynamic models of segregation . Journal of Mathematical Sociology , 1 ( 2 ) : 143 – 186 .
   Web of Science ®Google Scholar
• Tobler , W. 1979 . “ Cellular geography ” . In Philosophy in geography , Edited by: Gale , S. and Olssen , G. 379 – 386 . Dordrecht : Reidel Publishing .
   Google Scholar
• Webster , C. and Wu , F. 1999a . Regulation, land-use mix, and urban performance. Part 1: theory . Environment and Planning A , 31 ( 8 ) : 1433 – 1442 .
   Web of Science ®Google Scholar
• Webster , C. and Wu , F. 1999b . Regulation, land-use mix, and urban performance. Part 2: simulation . Environment and Planning A , 31 ( 9 ) : 1529 – 1545 .
   Web of Science ®Google Scholar
• Wu , F. and Webster , C. 1998 . Simulation of land development through the integration of cellular automata and multicriteria evaluation . Environment and Planning B: Planning and Design , 25 ( 1 ) : 103 – 126 .
   Web of Science ®Google Scholar
• Xie , Y.C. , Batty , M. and Zhao , K. 2007 . Simulating emergent urban form using agent-based modeling: Desakota in the Suzhou-Wuxian region in China . Annals of the Association of American Geographers , 97 ( 3 ) : 477 – 495 .
   Web of Science ®Google Scholar
• Yin , L. 2009 . The dynamics of residential segregation in Buffalo: an agent-based simulation . Urban Studies , 46 ( 13 ) : 2749
   Web of Science ®Google Scholar