Initial Condition
Matrix A
Matrix B
Result A
Result B]
Real Site
This is a program for creating a town in which necessary things are located
in the necessary places.
What geographical relationships should there be, for example among schools,
houses, convenience stores, game centers, and hospitals? Is it possible
to obtain an optimal location for the different functions within the city?
How are the functions of institutions required by a city related to one
another? The locations of such functions may seem to be governed by market
principles, but in actuality the locations are largely determined by early-phase
zoning. It is rare that a traditional residential district suddenly turns
into an amusement quarter.
If the constraints are removed and institutions rearranged faithfully according
to their functional relations, what pattern of locations would emerge? The
project here deals with this theme.
Optimal mutual distances among functional units are first set. A program
for assessing the locations is prepared in accordance with that matrix.
Under initial conditions many functional units are arranged at random throughout
the city. The units are then moved little by little and new assessments
made. Thus the arrangement is gradually changed in pursuit of the highest
scores
If one element moves, it changes its distance from other elements. And so
results are not always the same. Relations among elements become intertwined
like tangled threads.
What works favorably for one element may cause trouble for other elements.
Simulation offers a glimpse of what that complex situation will lead to.
One result may be that houses, which are not supposed to get close to one
another in initial setting, begin to cluster to produce a collective housing
district. Another result may be the emergence of a center in which many
functions are concentrated.
Demands based on whim do not necessarily produce a townscape shaped by whim.
Partly because elements are large in number and partly because they are
intricately intertwined, a simple initial setting can describe diverse patterns.
The result is a visualization of the dynamics of "demand." The
demands of the city may emerge in their most candid form for the first time
in the "on-demand city."
