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A Hetero-functional Graph Theory for Modeling Interdependent Smart City Infrastructure (Hardcover, 1st ed. 2019)
Loot Price: R3,443
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A Hetero-functional Graph Theory for Modeling Interdependent Smart City Infrastructure (Hardcover, 1st ed. 2019)
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Cities have always played a prominent role in the prosperity of
civilization. Indeed, every great civilization we can think of is
associated with the prominence of one or more thriving cities. And
so understanding cities -- their inhabitants, their institutions,
their infrastructure -- what they are and how they work
independently and together -- is of fundamental importance to our
collective growth as a human civilization. Furthermore, the 21st
century "smart" city, as a result global climate change and
large-scale urbanization, will emerge as a societal grand
challenge. This book focuses on the role of interdependent
infrastructure systems in such smart cities especially as it
relates to timely and poignant questions about resilience and
sustainability. In particular, the goal of this book is to present,
in one volume, a consistent Hetero-Functional Graph Theoretic
(HFGT) treatment of interdependent smart city infrastructures as an
overarching application domain of engineering systems. This work
may be contrasted to the growing literature on multi-layer
networks, which despite significant theoretical advances in recent
years, has modeling limitations that prevent their real-world
application to interdependent smart city infrastructures of
arbitrary topology. In contrast, this book demonstrates that HFGT
can be applied extensibly to an arbitrary number of arbitrarily
connected topologies of interdependent smart city infrastructures.
It also integrates, for the first time, all six matrices of HFGT in
a single system adjacency matrix. The book makes every effort to be
accessible to a broad audience of infrastructure system
practitioners and researchers (e.g. electric power system planners,
transportation engineers, and hydrologists, etc.). Consequently,
the book has extensively visualized the graph theoretic concepts
for greater intuition and clarity. Nevertheless, the book does
require a common methodological base of its readers and directs
itself to the Model-Based Systems Engineering (MBSE) community and
the Network Science Community (NSC). To the MBSE community, we hope
that HFGT will be accepted as a quantification of many of the
structural concepts found in model-based systems engineering
languages like SysML. To the NSC, we hope to present a new view as
how to construct graphs with fundamentally different meaning and
insight. Finally, it is our hope that HFGT serves to overcome many
of the theoretical and modeling limitations that have hindered our
ability to systematically understand the structure and function of
smart cities.
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