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 Earth and Planetary Science

Tel Aviv University

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 - 1 Jan 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

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

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Local patterns
Street network
Urban planning

ASJC Scopus subject areas

General Computer Science
General Mathematics

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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title = "Analysis and comparison of feature-based patterns in urban street networks",

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.",

keywords = "Local patterns, Street network, Urban planning",

author = "Lin Shao and Sebastian Mittelst{\"a}dt and Ran Goldblatt and Itzhak Omer and Peter Bak and Tobias Schreck",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016 ; Conference date: 27-02-2016 Through 29-02-2016",

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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

TY - GEN

T1 - Analysis and comparison of feature-based patterns in urban street networks

AU - Shao, Lin

AU - Mittelstädt, Sebastian

AU - Goldblatt, Ran

AU - Omer, Itzhak

AU - Bak, Peter

AU - Schreck, Tobias

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

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

KW - Local patterns

KW - Street network

KW - Urban planning

UR - https://www.scopus.com/pages/publications/85028299690

U2 - 10.1007/978-3-319-64870-5_14

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

M3 - Conference contribution

SN - 9783319648699

T3 - Communications in Computer and Information Science

SP - 287

EP - 309

BT - Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers

A2 - Telea, Alexandru

A2 - Richard, Paul

A2 - Linsen, Lars

A2 - Braz, Jose

A2 - Battiato, Sebastiano

A2 - Magnenat-Thalmann, Nadia

A2 - Imai, Francisco

PB - Springer Verlag

T2 - 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016

Y2 - 27 February 2016 through 29 February 2016

ER -

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

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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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