Effects of agent heterogeneity in the presence of a land-market: A systematic test in an agent-based laboratory

Computers, Environment and Urban Systems

Volumn 41, Issue , 2013, Pages 188-203

  Huang, Qingxu ^a   Parker, Dawn C ^b   Sun, Shipeng ^c   Filatova, Tatiana ^d  

^a BEIJING NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF WATERLOO   (Canada)

^c UNIVERSITY OF MINNESOTA   (United States)

^d UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Agent heterogeneity; Agent based modeling; Budget constraints; Competitive bidding; Land market

Indexed keywords

AGENT-BASED MODELING; BUDGET CONSTRAINT; COMPETITIVE BIDDING; LAND MARKET MECHANISMS; LAND MARKETS; PREFERENCE HETEROGENEITY; SOCIO-ECONOMIC METRICS; URBAN LAND-USE CHANGE;

BUDGET CONTROL; COMPUTATIONAL METHODS; ECONOMICS; LAND USE;

COMMERCE;

ECONOMETRICS; HETEROGENEITY; LAND COVER; LAND MARKET; LAND USE CHANGE; NUMERICAL MODEL; PREFERENCE BEHAVIOR; SOCIOECONOMIC STATUS; TESTING METHOD;

EID: 84880625224     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2013.06.004     Document Type: Article

References (80)

1. Alonso W. Location and land use: Toward a general theory of land rent 1964, Harvard University Press, Harvard.
2. An L. Modeling human decisions in coupled human and natural systems: Review of agent-based models. Ecological Modelling 2012, 229:25-36.
3. An L., Brown D.G., Nassauer J.I., Low B. Variations in development of exurban residential landscapes: Timing, location, and driving forces. Journal of Land Use Science 2010, 6:13-32.
4. Arthur W.B. Complexity and the economy. Science 1999, 284:107-109.
5. Arthur W.B Out-of-equilibrium economics and agent-based modeling. Handbook of computational economics: Agent-based computational economics 2005, Vol. 2. Elsevier, North-Holland.
6. Axtell, R. (2000). Why agents? On the varied motivations for agent computing in the social sciences. Working Paper 17, Center on Social and Economic Dynamics, Brookings Institution.
7. Axtell R. The new coevolution of information science and social science: From software agents to artificial societies and back or how more computing became different computing 2003, Brookings Institution.
8. Batty M. Cities and complexity: Understanding cities with cellular automata, agent-based models, and fractals 2005, The MIT Press, Cambridge Massachusetts; London England.
9. Benenson I. Multi-agent simulations of residential dynamics in the city. Computers, Environment and Urban Systems 1998, 22:25-42.
10. Benenson I. Modeling population dynamics in the city: From a regional to a multi-agent approach. Discrete Dynamics in Nature and Society 1999, 3:149-170.
11. Benenson I., Omer I., Hatna E. Entity-based modeling of urban residential dynamics: The case of Yaffo, Tel Aviv. Environment and Planning B: Planning and Design 2002, 29:491-512.
12. Benenson I., Torrens P.M. Geosimulation: Automata-based modeling of urban phenomena 2004, John Wiley & Sons Ltd, Chichester.
13. Brown D.G., Page S.E., Riolo R., Rand W. Agent-based and analytical modeling to evaluate the effectiveness of greenbelts. Environmental Modelling & Software 2004, 19:1097-1109.
14. Brown D.G., Robinson D.T. Effects of heterogeneity in residential preferences on an agent-based model of urban sprawl. Ecology and Society 2006, 11:46-67.
15. Brown D.G., Robinson D.T., An L., Nassauer J.I., Zellner M., Rand W., et al. Exurbia from the bottom-up: Confronting empirical challenges to characterizing a complex system. Geoforum 2008, 39:805-818.
16. Chen, Y., Irwin, E. G., & Jayaprakash, C. (2011). An agent-based model of exurban land development. Agricultural and applied economics association: 2011 Annual meeting (p. 32). Pittsburgh, Pennsylvania.
17. Clifford N.J. Models in geography revisited. Geoforum 2008, 39:675-686.
18. Crooks, A. T. (2006). Exploring cities using agent-based models and GIS. UCL Working Paper Series, Paper 109. London, UK: University College London.
19. Diappi L., Bolchi P. Smith's rent gap theory and local real estate dynamics: A multi-agent model. Computers, Environment and Urban Systems 2008, 32:6-18.
20. Dieleman F.M. Modelling residential mobility; a review of recent trends in research. Journal of Housing and the Built Environment 2001, 16:249-265.
21. Epstein J.M. Agent-based computational models and generative social science. Complexity 1999, 4:41-60.
22. Ettema D. A multi-agent model of urban processes: Modelling relocation processes and price setting in housing markets. Computers, Environment and Urban Systems 2011, 35:1-11.
23. Ettema D., Jong K.d., Timmermans H., Bakema A. PUMA: Multi-agent modelling of urban systems. Modelling land-use change: Progress and applications 2007, 236-258. Springer, Dordrecht. E. Koomen, J. Stillwell, A. Bakema, H. Scholten (Eds.).
24. Farmer J.D., Foley D. The economy needs agent-based modelling. Nature 2009, 460:685-686.
25. Feitosa F.F., Le Q.B., Vlek P.L.G. Multi-agent simulator for urban segregation (MASUS): A tool to explore alternatives for promoting inclusive cities. Computers, Environment and Urban Systems 2011, 35:104-115.
26. Filatova T., Parker D., van der Veen A. Agent-based urban land markets: Agent's pricing behavior, land prices and urban land use change. Journal of Artificial Societies and Social Simulation 2009, 12:3.
27. Filatova T., Parker D.C., van der Veen A. The implications of skewed risk perception for a Dutch coastal land market: Insights from an agent-based computational economics model. Agricultural and Resource Economics Review 2011, 40:405-423.
28. Filatova T., van der Veen A., Parker D. Land market interactions between heterogeneous agents in a heterogeneous landscape - Tracing the macro-scale effects of individual trade-offs between environmental amenities and disamenities. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 2009, 57:431-457.
29. Fossett M., Waren W. Overlooked implications of ethnic preferences for residential segregation in agent-based models. Urban Studies 2005, 42:1893-1917.
30. Ghoulmie F., Cont R., Nadal J.-P. Heterogeneity and feedback in an agent-based market model. Journal of Physics: Condensed Matter 2005, 17:S1259.
31. Grimm V. Ten years of individual-based modelling in ecology: What have we learned and what could we learn in the future?. Ecological Modelling 1999, 115:129-148.
32. Haase D., Schwarz N. Simulation models on human-nature interactions in urban landscapes: A review including spatial economics, system dynamics, celular automata, and agent-based approaches. Living Reviews in Landscape Research 2009, 3.
33. Hommes, C. (2005). Heterogeneous agent models in economics and finance. Tinbergen Institute Discussion Paper. CeNDEF, Department of Quantitative Economics, University of Amsterdam, and Tinbergen Institute.
34. Huang, Q., Parker, D., Filatova, T., & Sun, S. (accepted for publication). A review of urban residential choice models using agent-based modeling. Environment and Planning B: Planning and Design.
35. Irwin E.G. New directions for urban economic models of land use change: Incorporating spatial dynamics and heterogeneity. Journal of Regional Science 2010, 50:65-91.
36. Irwin E.G., Bockstael N.E. Interacting agents, spatial externalities and the evolution of residential land use patterns. Journal of Economic Geography 2002, 2:31-54.
37. Irwin E.G., Geoghegan J. Theory, data, methods: Developing spatially explicit economic models of land use change. Agriculture, Ecosystems & Environment 2001, 85:7-24.
38. Jackson J., Forest B., Sengupta R. Agent-based simulation of urban residential dynamics and land rent change in a gentrifying area of Boston. Transactions in GIS 2008, 12:475-491.
39. Jayaprakash C., Warren K., Irwin E., Chen K. The interaction of segregation and suburbanization in an agent-based model of residential location. Environment and Planning B: Planning and Design 2009, 36:989-1007.
40. Kii M., Doi K. Multiagent land-use and transport model for the policy evaluation of a compact city. Environment and Planning B: Planning and Design 2005, 32:485-504.
41. Kirman A.P. Whom or what does the representative individual represent?. The Journal of Economic Perspectives 1992, 6:117-136.
42. Li X., Liu X. Defining agents' behaviors to simulate complex residential development using multicriteria evaluation. Journal of Environmental Management 2007, 85:1063-1075.
43. 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, 4:215-232.
44. 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.
45. Ligtenberg A., Wachowicz M., Bregt A.K., Beulens A., Kettenis D.L. A design and application of a multi-agent system for simulation of multi-actor spatial planning. Journal of Environmental Management 2004, 72:43-55.
46. Liu J., Dietz T., Carpenter S.R., Alberti M., Folke C., Moran E., et al. Complexity of coupled human and natural systems. Science 2007, 317:1513-1516.
47. Macy M.W., Willer R. From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology 2002, 28:143-166.
48. Magliocca N., Safirova E., McConnell V., Walls M. An economic agent-based model of coupled housing and land markets (CHALMS). Computers Environment and Urban Systems 2011, 35:183-191.
49. Manson S.M. Validation and verification of multi-agent systems. Complexity and ecosystem management 2002, Edward Elgar Publishing, Cheltenham, UK. S.M. Manson (Ed.).
50. Manson S.M. Bounded rationality in agent-based models: Experiments with evolutionary programs. International Journal of Geographical Information Science 2006, 20:991-1012.
51. Manson S.M., Evans T. Agent-based modeling of deforestation in southern Yucatan, Mexico, and reforestation in the Midwest United States. Proceedings of the National Academy of Sciences 2007, 104:20678-20683.
52. Matthews R., Gilbert N., Roach A., Polhill J., Gotts N. Agent-based land-use models: A review of applications. Landscape Ecology 2007, 22:1447-1459.
53. Miller E., Douglas Hunt J., Abraham J.E., Salvini P.A. Microsimulating urban systems. Computers, Environment and Urban Systems 2008, 28:9-44.
54. Miller E., Farooq B., Chingcuanco F., Wang D. Historical validation of integrated transport-land use model system. Transportation Research Record: Journal of the Transportation Research Board 2011, 2255:91-99.
55. Mills E.S. Studies in the structure of the urban economy 1972, Johns Hopkins Press, Baltimore, MD.
56. Muth R.F. Cities and housing: The spacial pattern of urban residential land use 1969, The University of Chicago Press, Chicago.
57. Ngo T.A, See L. Calibration and validation of agent-based models of land cover change. Agent-based models of geographical systems 2012, 181-197. Springer, Netherlands. A.T. Crooks, A.J. Heppenstall, L.M. See, M. Batty (Eds.).
58. O'Sullivan D. Toward micro-scale spatial modeling of gentrification. Journal of Geographical Systems 2002, 4:251-274.
59. O'Sullivan, D., MacGill, J., & Yu, C. (2003). Agent-based residential segregation: A hierarchically structured spatial model. In Proceedings of agent 2003 conference on challenges in social simulation (pp. 493-507). The University of Chicago, Chicago, IL.
60. Omer I. How ethnicity influences residential distributions: An agent-based simulation. Environment and Planning B: Planning and Design 2005, 32:657-672.
61. Parker, D. C., Berger, T., & Manson, S. M. (2002). Agent-based models of land-use and land-cover change. In D. C. Parker, T. Berger & S. M. Manson (Eds.), LUCC Report Series No. 6. Irvine, California, USA: LUCC Focus 1 Office Anthropological Center for Training and Research on Global Environmental Change, Indiana University.
62. Parker D.C, Brown D.G, Filatova T., Riolo R., Robinson D.T, Sun S. Do land markets matter? A modeling ontology and experimental design to test the effects of land markets for an agent-based model of ex-urban residential land-use change. Agent-based models of geographical systems 2012, 525-542. Springer, Netherlands. A.T. Crooks, A.J. Heppenstall, L.M. See, M. Batty (Eds.).
63. Parker D.C., Filatova T. A conceptual design for a bilateral agent-based land market with heterogeneous economic agents. Computers, Environment and Urban Systems 2008, 32:454-463.
64. Parker D.C., Manson S.M., Janssen M.A., Hoffmann 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, 93:314-337.
65. Parker D.C., Meretsky V. Measuring pattern outcomes in an agent-based model of edge-effect externalities using spatial metrics. Agriculture, Ecosystems & Environment 2004, 101:233-250.
66. Parry H.R, Bithell M. Large scale agent-based modelling: A review and guidelines for model scaling. Agent-based models of geographical systems 2012, 271-308. Springer, Netherlands. A.T. Crooks, A.J. Heppenstall, L.M. See, M. Batty (Eds.).
67. Robinson D.T., Brown D.G., Parker D.C., Schreinemachers P., Janssen M.A., Huigen M., et al. Comparison of empirical methods for building agent-based models in land use science. Journal of Land Use Science 2007, 2:31-55.
68. Robinson, D. T., Filatova, T., Sun, S., Riolo, R. L., Brown, D. G., Parker, D. C., et al. (2010). Integrating land markets, land management, and ecosystem function in a model of land change. In D. A. Swayne, A. Voinov, W. Yang & T. Filatova (Eds.), 2010 International Congress on Environmental Modelling and Software (p. S.07.11). Ottawa, Canada: International, Environmental Modelling and Software Society (iEMSs).
69. Sasaki Y., Box P. Agent-based verification of von Thünen's location theory. Journal of Artificial Societies and Social Simulation 2003, 6.
70. Schelling T.C. Dynamic models of segregation. Journal of Mathematical Sociology 1971, 143-186.
71. Schreinemachers P., Berger T. Land use decisions in developing countries and their representation in multi-agent systems. Journal of Land Use Science 2006, 1:29-44.
72. Sun, S., Parker, D. C., Huang, Q., Filatova, T., Robinson, D. T., Riolo, R. L., et al. (accepted for publication). Significance and complexity of market impacts on land use change: An agent-based experiment.
73. Tesfatsion L. Agent-based computational economics: A constructive approach to economic theory. Handbook of computational economics 2006, 831-880. Elsevier. L. Tesfatsion, K.L. Judd (Eds.).
74. Torrens P.M. A geographic automata model of residential mobility. Environment and Planning B: Planning and Design 2007, 34:200-222.
75. Valbuena D., Verburg P.H., Bregt A.K. A method to define a typology for agent-based analysis in regional land-use research. Agriculture, Ecosystems and Environment 2008, 128:27-36.
76. Von Thünen J.H. Isolated state; an English edition of Der isolierte Staat 1966, Pergamon Press, Oxford.
77. Waddell P. UrbanSim: Modeling urban development for land use, transportation and environmental planning. Journal of the American Planning Association 2002, 68:297-314.
78. Waddell P., Wang L., Liu X. UrbanSim: An evolving planning support system for evolving communities. Planning Support Systems 2008, Lincoln Land Institute, Cambridge, MA. R. Brail (Ed.).
79. Wagner P., Wegener M. Urban land use, transport and environment models: Experiences with an integrated microscopic approach. disP 2007, 170:45-56.
80. Zellner M.L., Riolo R.L., Rand W., Brown D.G., Page S.E., Fernandez L.E. The problem with zoning: Nonlinear effects of interactions between location preferences and externalities on land use and utility. Environment and Planning B: Planning and Design 2010, 37:408-428.