Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses

A. van Nes

doi:10.1007/978-3-030-87016-4_24

Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses

A. van Nes

Spatial Planning and Strategy

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

37 Downloads (Pure)

Abstract

Inthiscontributionanewspacesyntaxanalysesmethodispresentedfor analysing the degree of permeability in the main route network of towns and cities. First, a presentation is given on the methodological development of the various approaches taken until the present day. Then, a description is given on how this new analysis method can be used to conduct a permeability analyses of a main route network using the DepthmapX software. Finally, this method is applied to 25 different cities around the globe. As it turns out, the method presents an objective way in which to identify the foreground network in built environments, and to measure the degree of permeability or connectivity to the background network.

Original language	English
Title of host publication	Computational Science and Its Applications – ICCSA 2021
Subtitle of host publication	Proceedings of the 21st International Conference, Cagliari, Italy, September 13–16, 2021, Part X
Editors	Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria Rocha, Eufemia Tarantino, Carmelo Maria Torre
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	323-336
Number of pages	14
ISBN (Electronic)	978-3-030-87016-4
ISBN (Print)	978-3-030-87015-7
DOIs	https://doi.org/10.1007/978-3-030-87016-4_24
Publication status	Published - 2021
Event	21st International Conference on Computational Science and Its Applications: ICCSA 2021 - Cagliari, Italy Duration: 13 Sep 2021 → 16 Sep 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12958 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Computational Science and Its Applications
Country/Territory	Italy
City	Cagliari
Period	13/09/21 → 16/09/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Main route network
Permeability
Foreground network
Background network
Methodological development
Space Syntax

Access to Document

10.1007/978-3-030-87016-4_24Licence: Unspecified

Nes2021_Chapter_MeasuringTheDegreeOfPermeabiliFinal published version, 14.3 MB

Cite this

van Nes, A. (2021). Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses. In O. Gervasi, B. Murgante, S. Misra, C. Garau, I. Blečić, D. Taniar, B. O. Apduhan, A. M. Rocha, E. Tarantino, & C. M. Torre (Eds.), Computational Science and Its Applications – ICCSA 2021: Proceedings of the 21st International Conference, Cagliari, Italy, September 13–16, 2021, Part X (pp. 323-336). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12958 LNCS). Springer. https://doi.org/10.1007/978-3-030-87016-4_24

van Nes, A. / Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses. Computational Science and Its Applications – ICCSA 2021: Proceedings of the 21st International Conference, Cagliari, Italy, September 13–16, 2021, Part X. editor / Osvaldo Gervasi ; Beniamino Murgante ; Sanjay Misra ; Chiara Garau ; Ivan Blečić ; David Taniar ; Bernady O. Apduhan ; Ana Maria Rocha ; Eufemia Tarantino ; Carmelo Maria Torre. Cham, Switzerland : Springer, 2021. pp. 323-336 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses",

abstract = "Inthiscontributionanewspacesyntaxanalysesmethodispresentedfor analysing the degree of permeability in the main route network of towns and cities. First, a presentation is given on the methodological development of the various approaches taken until the present day. Then, a description is given on how this new analysis method can be used to conduct a permeability analyses of a main route network using the DepthmapX software. Finally, this method is applied to 25 different cities around the globe. As it turns out, the method presents an objective way in which to identify the foreground network in built environments, and to measure the degree of permeability or connectivity to the background network.",

keywords = "Main route network, Permeability, Foreground network, Background network, Methodological development, Space Syntax",

author = "{van Nes}, A.",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 21st International Conference on Computational Science and Its Applications : ICCSA 2021 ; Conference date: 13-09-2021 Through 16-09-2021",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "323--336",

editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Chiara Garau and Ivan Ble{\v c}i{\'c} and David Taniar and Apduhan, {Bernady O.} and Rocha, {Ana Maria} and Eufemia Tarantino and Torre, {Carmelo Maria}",

booktitle = "Computational Science and Its Applications – ICCSA 2021",

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van Nes, A 2021, Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses. in O Gervasi, B Murgante, S Misra, C Garau, I Blečić, D Taniar, BO Apduhan, AM Rocha, E Tarantino & CM Torre (eds), Computational Science and Its Applications – ICCSA 2021: Proceedings of the 21st International Conference, Cagliari, Italy, September 13–16, 2021, Part X. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12958 LNCS, Springer, Cham, Switzerland, pp. 323-336, 21st International Conference on Computational Science and Its Applications, Cagliari, Italy, 13/09/21. https://doi.org/10.1007/978-3-030-87016-4_24

Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses. / van Nes, A.

Computational Science and Its Applications – ICCSA 2021: Proceedings of the 21st International Conference, Cagliari, Italy, September 13–16, 2021, Part X. ed. / Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Chiara Garau; Ivan Blečić; David Taniar; Bernady O. Apduhan; Ana Maria Rocha; Eufemia Tarantino; Carmelo Maria Torre. Cham, Switzerland : Springer, 2021. p. 323-336 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12958 LNCS).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses

AU - van Nes, A.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2021

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N2 - Inthiscontributionanewspacesyntaxanalysesmethodispresentedfor analysing the degree of permeability in the main route network of towns and cities. First, a presentation is given on the methodological development of the various approaches taken until the present day. Then, a description is given on how this new analysis method can be used to conduct a permeability analyses of a main route network using the DepthmapX software. Finally, this method is applied to 25 different cities around the globe. As it turns out, the method presents an objective way in which to identify the foreground network in built environments, and to measure the degree of permeability or connectivity to the background network.

AB - Inthiscontributionanewspacesyntaxanalysesmethodispresentedfor analysing the degree of permeability in the main route network of towns and cities. First, a presentation is given on the methodological development of the various approaches taken until the present day. Then, a description is given on how this new analysis method can be used to conduct a permeability analyses of a main route network using the DepthmapX software. Finally, this method is applied to 25 different cities around the globe. As it turns out, the method presents an objective way in which to identify the foreground network in built environments, and to measure the degree of permeability or connectivity to the background network.

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DO - 10.1007/978-3-030-87016-4_24

M3 - Conference contribution

SN - 978-3-030-87015-7

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 323

EP - 336

BT - Computational Science and Its Applications – ICCSA 2021

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Garau, Chiara

A2 - Blečić, Ivan

A2 - Taniar, David

A2 - Apduhan, Bernady O.

A2 - Rocha, Ana Maria

A2 - Tarantino, Eufemia

A2 - Torre, Carmelo Maria

PB - Springer

CY - Cham, Switzerland

T2 - 21st International Conference on Computational Science and Its Applications

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ER -

van Nes A. Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses. In Gervasi O, Murgante B, Misra S, Garau C, Blečić I, Taniar D, Apduhan BO, Rocha AM, Tarantino E, Torre CM, editors, Computational Science and Its Applications – ICCSA 2021: Proceedings of the 21st International Conference, Cagliari, Italy, September 13–16, 2021, Part X. Cham, Switzerland: Springer. 2021. p. 323-336. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-87016-4_24

Measuring the Degree of Permeability of the Main Route Network with Angular Step Depth Analyses

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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