Cities can be considered to be among the largest and most
complex artificial networks created by human beings. Due to the
numerous and diverse human-driven activities, urban network
topology and dynamics can differ quite substantially from that of
natural networks and so call for an alternative method of
analysis.
The intent of the present monograph is to lay down the
theoretical foundations for studying the topology of compact urban
patterns, using methods from spectral graph theory and statistical
physics. These methods are demonstrated as tools to investigate the
structure of a number of real cities with widely differing
properties: medieval German cities, the webs of city canals in
Amsterdam and Venice, and a modern urban structure such as found in
Manhattan.
Last but not least, the book concludes by providing a brief
overview of possible applications that will eventually lead to a
useful body of knowledge for architects, urban planners and civil
engineers.
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