Transport Networks Revisited: Why Dual Graphs?
classification
⚛️ physics.soc-ph
physics.data-an
keywords
graphdualnetworknetworksrandomspacetransportwalks
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Deterministic equilibrium flows in transport networks can be investigated by means of Markov's processes defined on the dual graph representations of the network. Sustained movement patterns are generated by a subset of automorphisms of the graph spanning the spatial network of a city naturally interpreted as random walks. Random walks assign absolute scores to all nodes of a graph and embed space syntax into Euclidean space.
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