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

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

doi:10.1007/978-3-319-64870-5_14

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

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

Department of Geophysics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers
Editors	Alexandru Telea, Paul Richard, Lars Linsen, Jose Braz, Sebastiano Battiato, Nadia Magnenat-Thalmann, Francisco Imai
Publisher	Springer Verlag
Pages	287-309
Number of pages	23
ISBN (Print)	9783319648699
DOIs	https://doi.org/10.1007/978-3-319-64870-5_14
State	Published - 2017
Event	11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016 - Rome, Italy Duration: 27 Feb 2016 → 29 Feb 2016

Publication series

Name	Communications in Computer and Information Science
Volume	693
ISSN (Print)	1865-0929

Conference

Conference	11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016
Country/Territory	Italy
City	Rome
Period	27/02/16 → 29/02/16

Keywords

Local patterns
Street network
Urban planning

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-64870-5_14

Cite this

Shao, L., Mittelstädt, S., Goldblatt, R., Omer, I., Bak, P., & Schreck, T. (2017). Analysis and comparison of feature-based patterns in urban street networks. In A. Telea, P. Richard, L. Linsen, J. Braz, S. Battiato, N. Magnenat-Thalmann, & F. Imai (Eds.), Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers (pp. 287-309). (Communications in Computer and Information Science; Vol. 693). Springer Verlag. https://doi.org/10.1007/978-3-319-64870-5_14

Shao, Lin ; Mittelstädt, Sebastian ; Goldblatt, Ran et al. / Analysis and comparison of feature-based patterns in urban street networks. Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers. editor / Alexandru Telea ; Paul Richard ; Lars Linsen ; Jose Braz ; Sebastiano Battiato ; Nadia Magnenat-Thalmann ; Francisco Imai. Springer Verlag, 2017. pp. 287-309 (Communications in Computer and Information Science).

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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.",

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Shao, L, Mittelstädt, S, Goldblatt, R, Omer, I, Bak, P & Schreck, T 2017, Analysis and comparison of feature-based patterns in urban street networks. in A Telea, P Richard, L Linsen, J Braz, S Battiato, N Magnenat-Thalmann & F Imai (eds), Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers. Communications in Computer and Information Science, vol. 693, Springer Verlag, pp. 287-309, 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016, Rome, Italy, 27/02/16. https://doi.org/10.1007/978-3-319-64870-5_14

Analysis and comparison of feature-based patterns in urban street networks. / Shao, Lin; Mittelstädt, Sebastian; Goldblatt, Ran et al.

Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers. ed. / Alexandru Telea; Paul Richard; Lars Linsen; Jose Braz; Sebastiano Battiato; Nadia Magnenat-Thalmann; Francisco Imai. Springer Verlag, 2017. p. 287-309 (Communications in Computer and Information Science; Vol. 693).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Omer, Itzhak

AU - Bak, Peter

AU - Schreck, Tobias

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

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Y1 - 2017

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Shao L, Mittelstädt S, Goldblatt R, Omer I, Bak P, Schreck T. Analysis and comparison of feature-based patterns in urban street networks. In Telea A, Richard P, Linsen L, Braz J, Battiato S, Magnenat-Thalmann N, Imai F, editors, Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers. Springer Verlag. 2017. p. 287-309. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-64870-5_14

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

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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