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Assessing Morphological Resilience. Methodological Challenges for Metropolitan Areas

Fusco, G; Venerandi, A; (2020) Assessing Morphological Resilience. Methodological Challenges for Metropolitan Areas. In: Computational Science and Its Applications – ICCSA 2020: 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VII. (pp. pp. 593-609). Springer: Cham, Switzerland. Green open access

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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.

Type: Proceedings paper
Title: Assessing Morphological Resilience. Methodological Challenges for Metropolitan Areas
Event: ICCSA 20: International Conference on Computational Science and Its Applications
ISBN-13: 9783030588199
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-58820-5_44
Publisher version: https://doi.org/10.1007/978-3-030-58820-5_44
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10133158
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