We are not aware of urban models that cannot be formulated in terms of GAS. Here go some examples:

Source Types of Geographic
Automata		 Automata states Automata Relationships
[1-4] F: Land cells of
rectangular cell grid		 One cell state variable:
Fraction of urban land-use		 F-F: Neighborhood relationships
according to Moore 3x3 neighborhood
[5-9] F: Land cells of
rectangular cell grid		 One cell state variable:
vacant, housing, industry,
commerce land-uses.		 F-F: Neighborhood relationships
between cells at a distance less than 7 cell units
[10-12] F: Land cells of
hexagonal cell grid		 Many cell state variables:
urban/non-urban land use,
fractions of population, services,
etc.		 F-F: Neighborhood relationships
between cells of the hexagonal grid if
there is no physical barrier between
them
[13-16] F: Land cells of
rectangular cell grid		 One cell state variable:
Urban/ non-urban land use 		F-F: Neighborhood relationships
according to neighborhoods of three
different sizes
[17] F: Land cells of
rectangular cell grid		 One cell state variable:
cultivated, wood, urban,
transport, water land-uses		 F-F: Neighborhood relationships
according to Moore 5x5 neighborhood
[18,19] F: Land cells of
rectangular cell grid		 Two cell state variables:
Urban/Non-urban land use and
Potential for urban development		 F-F: Neighborhood relationships
according to Moore 3x3 neighborhood
[15,18] F: Land cells of
rectangular cell grid		 Two cell state variables:
Urban/Non-urban land use and
Potential for urban development 		F-F: Neighborhood relationships
according to Moore 3x3 neighborhood
[20] F: Land cells of
rectangular cell grid		 One cell state variable:
18 population/land use states		 F-F: Neighborhood relationships
according to Moore 3x3 neighborhood
[21-24] F: Land cells of
rectangular cell grid		 Two cell state variables: vacant,
housing, industry, commerce land
use and Potential for urban
development.		 F-F: Neighborhood relationships
between cells at a distance less than
7 cell units
[25] F: Street segments
F: Buildings,
both represented
by grid cells 		One street-cell state variable:
street type (five grades).
One building-cell state variable:
building type (five grades)		 F-F: Neighborhood relationships
between adjacent cells and street
segments
[26] F: Road links,
F: land parcels		 One land-cell state variable:
unbuilt, housing, unoccupied,
services land use
No state variables for roads		 F-F: Neighborhood relationships
between adjacent polygons of
the Voronoi coverage
[27-29] F: Street cells
F: Land cells		 One cell state variable:
Urban/non-urban land use
No state variables for streets		 F-F: Neighborhood relationships
according to Moore 3x3 neighborhood
[30] F: Land cells of
rectangular cell grid		 One cell state variable:
combines population density and
land-use		 F-F: Two sets of neighborhood
relationships, one according to Moore
3x3 neighborhood and the other
according to the travel distance.
[31] F: Land cells of
rectangular cell grid;
D: Migrating firms		 One land-cell state variable:
presence/absence of customers;
No firm-state parameters		 F-F: Neighborhood relationships
according to Moore 5x5 neighborhood
D-F: Firms are related to the cell they
are located at
[32,33] F: Houses,
D: Migrating
householders		 One state parameter of house:
house value Two state parameters if
householder: status and ethnicity		 F-F: Neighborhood relationships
according to Moore 5x5 neighborhood
D-F: householder are related to the
cell they occupy
[34] F: Houses,
D: migrating
householders		 One state parameter of house:
building architectural type;
One state parameters of
householder: ethnicity		 F-F: Neighborhood relationships
between houses according to adjacency
of Voronoi polygons
D-F: householder are related
to the cell they occupy
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