Notes from Benenson and Torrens

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Notes from Benenson and Torrens 25 Feb 2009 Spatial ABM Dawn Parker, George Mason University

Urban agents in space and time Urban modeling in particular requires heterogeneous agents (within and between types). Examples? Urban agents operate on different temporal scales (developer, resident, car, pedestrian) Depending on RQ, you can limit analysis to one scale, or you may need to confront both (LU and transport example) Spatial ABM Dawn Parker, George Mason University

Location and migration behavior Urban modeling is largely about modeling location change--fine temporal/spatial scale or not Utility is a useful framework for understanding location choice (theoretical vs. probabalistic) Bounded rationality arises from uncertainty from own choices, but more important, from the choices of others (urban decay and gentrification, for example) Spatial ABM Dawn Parker, George Mason University

Different decision heuristics based on random utility Optimization (ordered choice) Random choice Satisficiing One-stage (accept first choice) or two (sample then evaluate) Demonstration that they mean different choices! Spatial ABM Dawn Parker, George Mason University

Individual choices and global feedbacks … Figures 5.5 and 5.6 Individual choices change neighborhood characteristics, which trigger more/different individual choices Spatial ABM Dawn Parker, George Mason University

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