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Agent-based simulation of human movement shaped by the underlying street structure
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Samhällsbyggnad/GIS-Institutet.ORCID-id: 0000-0002-2337-2486
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Samhällsbyggnad/GIS-Institutet.
2011 (engelsk)Inngår i: International Journal of Geographical Information Science, ISSN 1365-8816, E-ISSN 1365-8824, Vol. 25, nr 1, s. 51-64Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Relying on random and purposive moving agents, we simulated human movement in large street networks. We found that aggregate flow, assigned to individual streets, is mainly shaped by the underlying street structure, and that human moving behavior (either random or purposive) has little effect on the aggregate flow. This finding implies that given a street network, the movement patterns generated by purposive walkers (mostly human beings) and by random walkers are the same. Based on the simulation and correlation analysis, we further found that the closeness centrality is not a good indicator for human movement, in contrast to a long-standing view held by space syntax researchers. Instead we suggest that Google's PageRank and its modified version (weighted PageRank), betweenness and degree centralities are all better indicators for predicting aggregate flow.

sted, utgiver, år, opplag, sider
London: Taylor & Francis , 2011. Vol. 25, nr 1, s. 51-64
Emneord [en]
random walks, human movement, street networks, topological analysis, collective behavior, space syntax
HSV kategori
Identifikatorer
URN: urn:nbn:se:hig:diva-10008DOI: 10.1080/13658811003712864ISI: 000287572700004OAI: oai:DiVA.org:hig-10008DiVA, id: diva2:438527
Tilgjengelig fra: 2011-09-02 Laget: 2011-09-02 Sist oppdatert: 2018-03-13bibliografisk kontrollert

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