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Title of dissertation:    & {\large  ARCOLOGY OPTIMIZATION AND}\\
                          & {\large  SIMULATION FRAMEWORK}\\
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&                          {\large  Rowin Andruscavage }\\ 
&			   {\large  Master of Science, 2007} \\
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Directed by: & {\large  Associate Professor Mark Austin} \\
             & {\large  Department of Civil/Environmental Engineering} \\
             & {\large  and Institute for Systems Research} \\
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Arcology design combines urban planning and architecture with the
mechanics of ecology, presenting a tangled mixture functions, ideals,
and goals well suited for systems engineering analysis. The physical
design of an arcology would encompass the creation of a
``hyperstructure'' that delivers utility and transportation
infrastructure in a highly integrated compact package that parcels out
plots for residential, commercial, industrial, and municipal uses. This
thesis defines and describes a prototype simulation framework that some
day might be used to execute and evaluate intelligent demand-responsive
multimodal mass transit schemes that would serve as an urban circulatory
system, contributing to the effectiveness of an urban complex. Given a
set of connected nodes serviced by different fleets of vehicles, a
global optimizer attempts to generate a coordinated fleet schedule that
meets various demand patterns. Factorial design of experiments and
parametric analysis on the resulting simulated performance data of
several simplified 1D and 2D scenarios help identify significant system
design variables, including the number and size of the vehicle fleet,
station configuration, transit network topology, as well as the initial
distribution of travel demand between station nodes. The open-ended
formulation of this framework can allow analysis of different optimal
modes of operation depending upon the properties of the scenario,
indicating design paradigms that help maximize the effectiveness of
transit-oriented development design strategies.

% LocalWords:  ARCOLOGY Rowin Andruscavage hyperstructure multimodal
