Analysis and comparison of feature-based patterns in urban street networks

Lin Shao, Sebastian Mittelstädt, Ran Goldblatt, Itzhak Omer, Peter Bak, Tobias Schreck

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Analysis of street networks is a challenging task, needed in urban planning applications such as urban design or transportation network analysis. Typically, different network features of interest are used for within- and between comparisons across street networks. We introduce StreetExplorer, a visual-interactive system for analysis and comparison of global and local patterns in urban street networks. The system uses appropriate similarity functions to search for patterns, taking into account topological and geometric features of a street network. We enhance the visual comparison of street network patterns by a suitable color-mapping and boosting scheme to visualize the similarity between street network portions and the distribution of network features. Together with experts from the urban morphology domain, we apply our approach to analyze and compare two urban street networks, identifying patterns of historic development and modern planning approaches, demonstrating the usefulness of StreetExplorer.

Original languageEnglish
Title of host publicationComputer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers
EditorsAlexandru Telea, Paul Richard, Lars Linsen, Jose Braz, Sebastiano Battiato, Nadia Magnenat-Thalmann, Francisco Imai
PublisherSpringer Verlag
Pages287-309
Number of pages23
ISBN (Print)9783319648699
DOIs
StatePublished - 2017
Event11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016 - Rome, Italy
Duration: 27 Feb 201629 Feb 2016

Publication series

NameCommunications in Computer and Information Science
Volume693
ISSN (Print)1865-0929

Conference

Conference11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016
Country/TerritoryItaly
CityRome
Period27/02/1629/02/16

Keywords

  • Local patterns
  • Street network
  • Urban planning

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