Assessing morphological resilience. Methodological challenges for metropolitan areas

Giovanni Fusco; Alessandro Venerandi

doi:10.1007/978-3-030-58820-5_44

Assessing morphological resilience. Methodological challenges for metropolitan areas

Giovanni Fusco, Alessandro Venerandi

Architecture

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

3 Citations (Scopus)

7 Downloads (Pure)

Abstract

Morphological resilience to urban change is the capacity of the form of the physical city to adapt to everchanging social, economic, and technical contexts. It echoes the theory of general resilience in ecology and is not linked to catastrophic events. Complexity theory informs principles of resilient systems that can be applied to urban form. This paper shows how morphological resilience can be assessed in a wide metropolitan area using geoprocessing protocols and available geospatial information. More specifically, a two-step methodology is proposed and tested on the French Riviera. First, spatial units of analysis are identified based on the interconnectedness of the street network, which is a major morphological component in itself. Next, a set of morpho-functional quantitative indicators of resilience is computed for such spatial units, accounting for both internal structure and integration within the wider metropolitan area. Thirteen indicators are selected to describe five different proxies of morphological resilience: diversity, connectivity, redundancy, modularity and efficiency. The paper also presents the preliminary results of morphological resilience assessment in the French Riviera. Urban central areas on the coast generally show more resilient characteristics, while more contrasted patterns emerge in the hinterland.

Original language	English
Title of host publication	Computational Science and Its Applications – ICCSA 2020
Editors	Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blecic, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Yeliz Karaca
Place of Publication	Cham, Switzerland
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	593-609
Number of pages	17
ISBN (Electronic)	9783030588205
ISBN (Print)	9783030588199
DOIs	https://doi.org/10.1007/978-3-030-58820-5_44
Publication status	Published - 30 Sept 2020
Event	20th International Conference on Computational Science and Its Applications - Cagliari, Italy Duration: 1 Jul 2020 → 4 Jul 2020 https://2020.iccsa.org/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12255 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Computational Science and Its Applications
Abbreviated title	ICCSA 2020
Country/Territory	Italy
City	Cagliari
Period	1/07/20 → 4/07/20
Internet address	https://2020.iccsa.org/

Keywords

French Riviera
geoprocessing
morphological resilience
urban form

Access to Document

10.1007/978-3-030-58820-5_44

Fusco-Venerandi-ICCSA-2020-Assessing-morphological-resilience-methodological-challenges-for-metropolitan-areasAccepted author manuscript, 7.73 MB

Cite this

Fusco, G., & Venerandi, A. (2020). Assessing morphological resilience. Methodological challenges for metropolitan areas. In O. Gervasi, B. Murgante, S. Misra, C. Garau, I. Blecic, D. Taniar, B. O. Apduhan, A. M. A. C. Rocha, E. Tarantino, C. M. Torre, & Y. Karaca (Eds.), Computational Science and Its Applications – ICCSA 2020 (pp. 593-609). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12255 LNCS). Springer Science and Business Media Deutschland GmbH. Advance online publication. https://doi.org/10.1007/978-3-030-58820-5_44

Fusco, Giovanni ; Venerandi, Alessandro. / Assessing morphological resilience. Methodological challenges for metropolitan areas. Computational Science and Its Applications – ICCSA 2020. editor / Osvaldo Gervasi ; Beniamino Murgante ; Sanjay Misra ; Chiara Garau ; Ivan Blecic ; David Taniar ; Bernady O. Apduhan ; Ana Maria A.C. Rocha ; Eufemia Tarantino ; Carmelo Maria Torre ; Yeliz Karaca. Cham, Switzerland : Springer Science and Business Media Deutschland GmbH, 2020. pp. 593-609 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Morphological resilience to urban change is the capacity of the form of the physical city to adapt to everchanging social, economic, and technical contexts. It echoes the theory of general resilience in ecology and is not linked to catastrophic events. Complexity theory informs principles of resilient systems that can be applied to urban form. This paper shows how morphological resilience can be assessed in a wide metropolitan area using geoprocessing protocols and available geospatial information. More specifically, a two-step methodology is proposed and tested on the French Riviera. First, spatial units of analysis are identified based on the interconnectedness of the street network, which is a major morphological component in itself. Next, a set of morpho-functional quantitative indicators of resilience is computed for such spatial units, accounting for both internal structure and integration within the wider metropolitan area. Thirteen indicators are selected to describe five different proxies of morphological resilience: diversity, connectivity, redundancy, modularity and efficiency. The paper also presents the preliminary results of morphological resilience assessment in the French Riviera. Urban central areas on the coast generally show more resilient characteristics, while more contrasted patterns emerge in the hinterland.",

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editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Chiara Garau and Ivan Blecic and David Taniar and Apduhan, {Bernady O.} and Rocha, {Ana Maria A.C.} and Eufemia Tarantino and Torre, {Carmelo Maria} and Yeliz Karaca",

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Fusco, G & Venerandi, A 2020, Assessing morphological resilience. Methodological challenges for metropolitan areas. in O Gervasi, B Murgante, S Misra, C Garau, I Blecic, D Taniar, BO Apduhan, AMAC Rocha, E Tarantino, CM Torre & Y Karaca (eds), Computational Science and Its Applications – ICCSA 2020. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12255 LNCS, Springer Science and Business Media Deutschland GmbH, Cham, Switzerland, pp. 593-609, 20th International Conference on Computational Science and Its Applications, Cagliari, Italy, 1/07/20. https://doi.org/10.1007/978-3-030-58820-5_44

Assessing morphological resilience. Methodological challenges for metropolitan areas. / Fusco, Giovanni; Venerandi, Alessandro.
Computational Science and Its Applications – ICCSA 2020. ed. / Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Chiara Garau; Ivan Blecic; David Taniar; Bernady O. Apduhan; Ana Maria A.C. Rocha; Eufemia Tarantino; Carmelo Maria Torre; Yeliz Karaca. Cham, Switzerland: Springer Science and Business Media Deutschland GmbH, 2020. p. 593-609 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12255 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Assessing morphological resilience. Methodological challenges for metropolitan areas

AU - Fusco, Giovanni

AU - Venerandi, Alessandro

PY - 2020/9/30

Y1 - 2020/9/30

N2 - Morphological resilience to urban change is the capacity of the form of the physical city to adapt to everchanging social, economic, and technical contexts. It echoes the theory of general resilience in ecology and is not linked to catastrophic events. Complexity theory informs principles of resilient systems that can be applied to urban form. This paper shows how morphological resilience can be assessed in a wide metropolitan area using geoprocessing protocols and available geospatial information. More specifically, a two-step methodology is proposed and tested on the French Riviera. First, spatial units of analysis are identified based on the interconnectedness of the street network, which is a major morphological component in itself. Next, a set of morpho-functional quantitative indicators of resilience is computed for such spatial units, accounting for both internal structure and integration within the wider metropolitan area. Thirteen indicators are selected to describe five different proxies of morphological resilience: diversity, connectivity, redundancy, modularity and efficiency. The paper also presents the preliminary results of morphological resilience assessment in the French Riviera. Urban central areas on the coast generally show more resilient characteristics, while more contrasted patterns emerge in the hinterland.

AB - Morphological resilience to urban change is the capacity of the form of the physical city to adapt to everchanging social, economic, and technical contexts. It echoes the theory of general resilience in ecology and is not linked to catastrophic events. Complexity theory informs principles of resilient systems that can be applied to urban form. This paper shows how morphological resilience can be assessed in a wide metropolitan area using geoprocessing protocols and available geospatial information. More specifically, a two-step methodology is proposed and tested on the French Riviera. First, spatial units of analysis are identified based on the interconnectedness of the street network, which is a major morphological component in itself. Next, a set of morpho-functional quantitative indicators of resilience is computed for such spatial units, accounting for both internal structure and integration within the wider metropolitan area. Thirteen indicators are selected to describe five different proxies of morphological resilience: diversity, connectivity, redundancy, modularity and efficiency. The paper also presents the preliminary results of morphological resilience assessment in the French Riviera. Urban central areas on the coast generally show more resilient characteristics, while more contrasted patterns emerge in the hinterland.

KW - French Riviera

KW - geoprocessing

KW - morphological resilience

KW - urban form

U2 - 10.1007/978-3-030-58820-5_44

DO - 10.1007/978-3-030-58820-5_44

M3 - Conference contribution book

AN - SCOPUS:85092741633

SN - 9783030588199

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

SP - 593

EP - 609

BT - Computational Science and Its Applications – ICCSA 2020

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Garau, Chiara

A2 - Blecic, Ivan

A2 - Taniar, David

A2 - Apduhan, Bernady O.

A2 - Rocha, Ana Maria A.C.

A2 - Tarantino, Eufemia

A2 - Torre, Carmelo Maria

A2 - Karaca, Yeliz

PB - Springer Science and Business Media Deutschland GmbH

CY - Cham, Switzerland

T2 - 20th International Conference on Computational Science and Its Applications

Y2 - 1 July 2020 through 4 July 2020

ER -

Fusco G, Venerandi A. Assessing morphological resilience. Methodological challenges for metropolitan areas. In Gervasi O, Murgante B, Misra S, Garau C, Blecic I, Taniar D, Apduhan BO, Rocha AMAC, Tarantino E, Torre CM, Karaca Y, editors, Computational Science and Its Applications – ICCSA 2020. Cham, Switzerland: Springer Science and Business Media Deutschland GmbH. 2020. p. 593-609. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2020 Jul 4. doi: 10.1007/978-3-030-58820-5_44

Assessing morphological resilience. Methodological challenges for metropolitan areas

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Keywords

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