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

2. 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

3. 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

4. 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

5. 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