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Pedestrian Movement Graph Analysis

  • Development of sustainable urban environments assumes processing of large amount of data from various sources. It could be field study observations, results of simulations or information provided by modeling. This paper focuses on processing modeled data of pedestrian movement based on existed axial maps of particular environment. Introduced component allows further analysis by calculation of setDevelopment of sustainable urban environments assumes processing of large amount of data from various sources. It could be field study observations, results of simulations or information provided by modeling. This paper focuses on processing modeled data of pedestrian movement based on existed axial maps of particular environment. Introduced component allows further analysis by calculation of set of metrics based on inverted graph, which is built from given paths.show moreshow less

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Document Type:Article
Author: Ekaterina Fuchkina
DOI (Cite-Link):https://doi.org/10.25643/bauhaus-universitaet.2738Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20170202-27381Cite-Link
Series (Serial Number):Arbeitspapiere Informatik in der Architektur (Nr. 16)
Language:English
Date of Publication (online):2017/01/31
Year of first Publication:2017
Release Date:2017/02/02
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Architektur und Urbanistik [bis 2014 Fakultät Architektur] / Professur Informatik in der Architektur
Pagenumber:21
Tag:Computational Design; Network Analysis; Pedestrian movement; Space Syntax; Urban Analysis
GND Keyword:Fussgänger; Stadtplanung
Dewey Decimal Classification:700 Künste und Unterhaltung / 710 Landschaftsgestaltung, Raumplanung / 710 Städtebau, Raumplanung, Landschaftsgestaltung
BKL-Classification:74 Geographie, Raumordnung, Städtebau / 74.72 Stadtplanung, kommunale Planung
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)