Integrating macro and micro scale approaches in the agent-based modeling of residential dynamics

Sara Saeedi1
1Dept. of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Canada

Tài liệu tham khảo

Acosta-Michlik, 2008, Assessing vulnerability of selected farming communities in the Philippines based on a behavioural model of agent's adaptation to global environmental change, Global Environ. Change, 18, 554, 10.1016/j.gloenvcha.2008.08.006 Anand, 2016, Validation of an agent based model using a participatory simulation gaming approach: the case of city logistics, Transp. Res. Part C: Emerging Technol., 71, 489, 10.1016/j.trc.2016.08.002 Bae, 2016, Combining microsimulation and agent-based model for micro-level population dynamics Bakker, 2015, Land-use change arising from rural land exchange: an agent-based simulation model, Landscape Ecol., 30.2, 273, 10.1007/s10980-014-0116-x Ballas, 2005, 491 Batty, 2001, Polynucleated urban landscapes, Urban Stud., 38, 635, 10.1080/00420980120035268 Benenson, 1998, Multi-agent simulations of residential dynamics in the city, Comp. Environ. Urban Syst., 22, 25, 10.1016/S0198-9715(98)00017-9 Benenson, 2004, Chapter 4. agent-based modeling: from individual residential choice to urban residential dynamics, 67 Billari, 2015, Integrating macro-and micro-level approaches in the explanation of population change, Popul. Stud., 69, S11, 10.1080/00324728.2015.1009712 Birkin, 2012, 51 Booth, 2013, A hierarchical Bayesian framework for calibrating micro-level models with macro-level data, J. Build. Perform. Simul., 6, 293, 10.1080/19401493.2012.723750 Bourguignon, 2001 Crooks, 2008, Key challenges in agent-based modeling for geo-spatial simulation, Comput. Environ. Urban Syst., 32, 417, 10.1016/j.compenvurbsys.2008.09.004 Festinger, 1957 Filatova, 2013, Spatial agent-based models for socio-ecological systems: challenges and prospects, Environ. Modell. Softw., 45, 1, 10.1016/j.envsoft.2013.03.017 Fotheringham, 1989 Friedman, 1991, Multivariate adaptive regression splines (with discussion), Ann. Stat., 19, 1 Goldberg, 1989 Goldstein, 2003, Brains vs. brawn-comparative strategies for the calibration of a cellular automata-based urban growth model He, 2007, Modelling urban growth in Atlanta using logistic regression, Comput. Environ. Urban Syst., 31, 667, 10.1016/j.compenvurbsys.2006.11.001 Holland, 1998 Huang, 2014, A review of urban residential choice models using agent-based modeling, Environ. Plann. B: Plann. Des., 41, 661, 10.1068/b120043p Jackson, 2008, Agent-based simulation of urban residential dynamics and land rent change in a gentrifying area of Boston, Trans. GIS, 12, 475, 10.1111/j.1467-9671.2008.01109.x Li, 2000, Modelling sustainable urban development by the integration of constrained cellular automata and GIS, Int. J. Geogr. Inform. Sci., 14, 131, 10.1080/136588100240886 MacLeod, 2001, Renewing the geography of regions, Environ. Plann. D, 16, 669, 10.1068/d217t Macal, 2005, Tutorial on agent-based modeling and simulation, Proceedings of the 2005 Winter Simulation Conference, 10.1109/WSC.2005.1574234 Mather, 2009 Moreno, 2009, Marceau Implementation of a dynamic neighborhood in a land-use vector-based cellular automata model, Comput. Environ. Urban Syst., 33, 44, 10.1016/j.compenvurbsys.2008.09.008 O'Sullivan, 2002, Toward micro-scale spatial modeling of gentrification, J. Geogr. Syst., 4, 251, 10.1007/s101090200086 Omer, 2005, How ethnicity influences residential distribution: an agent-Based simulation, Environ. Plann. B: Plann. Des., 32, 657, 10.1068/b31156 Openshaw, 1984 Paasi, 1991, Deconstructing regions: notes on the scales of spatial life, Environ. Plann. A, 23, 239, 10.1068/a230239 Pang, 2002, Development of a process-based model for dynamic interaction in spatio-temporal GIS, Geoinformatica, 6, 323, 10.1023/A:1020876609236 Parker, 2008, A conceptual design for a bilateral agent-based land market with heterogeneous economic agents, Comput. Environ. Urban Syst., 32, 454, 10.1016/j.compenvurbsys.2008.09.012 Pijanowski, 2002, Using neural networks and GIS to forecast land use changes: a Land Transformation Model, Comput. Environ. Urban Syst., 26, 553, 10.1016/S0198-9715(01)00015-1 Pontius, 2001 Pontius, 2004, Useful techniques of validation for spatially explicit land-change models, Ecol. Modell., 179, 445, 10.1016/j.ecolmodel.2004.05.010 Portugali, 1994, Socio-spatial residential dynamics: stability and instability within a self-organized city, Geogr. Anal., 26, 321, 10.1111/j.1538-4632.1994.tb00329.x Raed, 2010, Application of Artificial Neural Networks (ANN) to model the failure of urban water mains, vol. 51, 1170 Repast web site, 2017 Rounsevell, 2012, Challenges for land system science, Land Use Policy, 29, 899, 10.1016/j.landusepol.2012.01.007 Saeedi, 2008, 14 Sakoda, 1971, The checkerboard model of social interaction, J. Math. Sociol., 1, 119, 10.1080/0022250X.1971.9989791 Schelling, 1978 Schweitzer, 2003 Shan, 2008, Genetic algorithms for the calibration of cellular automata urban growth modeling, Photogramm. Eng. Remote Sens., 74, 1267, 10.14358/PERS.74.10.1267 Speare, 1975 Statistical center of Iran, 2009 Takadama, 2008, Micro-and macro-level validation in agent-based simulation: reproduction of human-like behaviors and thinking in a sequential bargaining game, J. Artif. Soc. Soc. Simul., 11, 9 Tayyebi, 2008, Monitoring land use change by multi-temporal Landsat remote sensing imagery. The International Archives of the Photogrammetry, Remote Sens. Spat. Inform. Sci., 37, 1037 Tayyebi, 2010, 27 Tayyebi, 2013 Tehran Municipality web site, 2017 Torrens, 2004 Torrens, 2007, A geographic automata model of residential mobility, Environ. Plann. B: Plann. Des., 34, 200, 10.1068/b31070 Valbuena, 2010, An agent-based approach to model land-use change at a regional scale, Landscape Ecol., 25, 185, 10.1007/s10980-009-9380-6 Vapnik, 1998, vol. 1 Verburg, 2004, Projecting land use transitions at forest fringes in the Philippines at two spatial scales, Landscape Ecol., 19, 77, 10.1023/B:LAND.0000018370.57457.58 Verburg, 1999, A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use, Ecol. Modell., 116, 45, 10.1016/S0304-3800(98)00156-2 Verburg, 2006, Simulating feedbacks in land use and land cover change models, Landscape Ecol., 21.8, 1171, 10.1007/s10980-006-0029-4 Wise, 2016 Wu, 1998, SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules, Int. J. Geogr. Inform. Sci., 12, 63, 10.1080/136588198242012 Yang, 2008, Cellular automata for simulating land use changes based on support vector machines, Comput. Geosci., 34, 592, 10.1016/j.cageo.2007.08.003 Zell, 1994, SNNS (Stuttgart neural network simulator), vol. 254