Mathematical Analysis of Urban Spatial Networks

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 meth...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Blanchard, Philippe (Συγγραφέας), Volchenkov, Dimitri (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Understanding Complex Systems,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03240nam a22005895i 4500
001 978-3-540-87829-2
003 DE-He213
005 20151204153436.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 |a 9783540878292  |9 978-3-540-87829-2 
024 7 |a 10.1007/978-3-540-87829-2  |2 doi 
040 |d GrThAP 
050 4 |a QC174.7-175.36 
072 7 |a PHS  |2 bicssc 
072 7 |a PHDT  |2 bicssc 
072 7 |a SCI055000  |2 bisacsh 
082 0 4 |a 621  |2 23 
100 1 |a Blanchard, Philippe.  |e author. 
245 1 0 |a Mathematical Analysis of Urban Spatial Networks  |h [electronic resource] /  |c by Philippe Blanchard, Dimitri Volchenkov. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2009. 
300 |a XIV, 184 p. 123 illus., 16 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Understanding Complex Systems,  |x 1860-0832 
505 0 |a Complex Networks of Urban Environments -- Wayfinding and Affine Representations of Urban Environments -- Exploring Community Structure by Diffusion Processes -- Spectral Analysis of Directed Graphs and Interacting Networks -- Urban Area Networks and Beyond. 
520 |a 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. 
650 0 |a Physics. 
650 0 |a Regional planning. 
650 0 |a Urban planning. 
650 0 |a Architecture. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Statistical physics. 
650 0 |a Dynamical systems. 
650 0 |a Human geography. 
650 1 4 |a Physics. 
650 2 4 |a Statistical Physics, Dynamical Systems and Complexity. 
650 2 4 |a Landscape/Regional and Urban Planning. 
650 2 4 |a Cities, Countries, Regions. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Human Geography. 
700 1 |a Volchenkov, Dimitri.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540878285 
830 0 |a Understanding Complex Systems,  |x 1860-0832 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-87829-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-PHA 
950 |a Physics and Astronomy (Springer-11651)