Markov Chain Methods for Analyzing Urban Networks

Complex transport networks abstracted as graphs (undirected, directed, or multi-component) can be effectively analyzed by random walks (or diffusions). We have unified many concepts into one framework and studied in details the structural and spectral properties of spatial graphs for five compact ur...

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Veröffentlicht in:	Journal of statistical physics 2008-09, Vol.132 (6), p.1051-1069
Hauptverfasser:	Volchenkov, D., Blanchard, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Graphs Markov chains Mathematical and Computational Physics Physical Chemistry Physics Physics and Astronomy Quantum Physics Random walk Statistical Physics and Dynamical Systems Theoretical
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Beschreibung
Zusammenfassung:	Complex transport networks abstracted as graphs (undirected, directed, or multi-component) can be effectively analyzed by random walks (or diffusions). We have unified many concepts into one framework and studied in details the structural and spectral properties of spatial graphs for five compact urban patterns.
ISSN:	0022-4715 1572-9613
DOI:	10.1007/s10955-008-9591-2