QRES, A QGIS plugin to calculate resilience based on proximity of urban resources

Luigi Pintacuda; Silvio Carta; Tommaso  Turchi; Mauro Sabiu

QRES, A QGIS plugin to calculate resilience based on proximity of urban resources

Luigi Pintacuda, Silvio Carta, Tommaso Turchi, Mauro Sabiu

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

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Abstract

This study presents our latest development of a plugin for QGIS to help designers and planners to calculate resilience values for specific areas in urban contexts. Instead of radial distance, the proposed approach considers isochrones as the main driver of the computation, considering the time required to reach each urban typology, thus considering the constraints of specific environments, and providing more accurate results. This study illustrates how more accurate methods of time calculation in the built environment can address climate adaptation and urban performance of communities with promising results.

Original language	English
Title of host publication	Collective intelligence design symposium proceedings 2023
Place of Publication	Spain
Publisher	Institut d’Arquitectura Avançada de Catalunya (Iaac), Spain
Pages	112-126
Number of pages	15
ISBN (Print)	978-84-120885-7-1
Publication status	Published - 28 Nov 2023
Event	Responsive CIties, Collective Intelligence Design - Institute for Advanced Architecture of Catalogna, IAAC, Barcelona, Spain Duration: 27 Nov 2023 → 28 Nov 2023 https://responsivecities2023.iaac.net/

Conference

Conference	Responsive CIties, Collective Intelligence Design
Abbreviated title	IAAC 2023
Country/Territory	Spain
City	Barcelona
Period	27/11/23 → 28/11/23
Internet address	https://responsivecities2023.iaac.net/

Keywords

QGIS
Resilient Communities
Isochrones
Urban Analysis
Urban Predictions
Simulations

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Final_VersionFinal published version, 2.22 MBLicence: Unspecified

Cite this

@inproceedings{b954d92007774aa28c54eba8bdc6c850,

title = "QRES, A QGIS plugin to calculate resilience based on proximity of urban resources",

abstract = "This study presents our latest development of a plugin for QGIS to help designers and planners to calculate resilience values for specific areas in urban contexts. Instead of radial distance, the proposed approach considers isochrones as the main driver of the computation, considering the time required to reach each urban typology, thus considering the constraints of specific environments, and providing more accurate results. This study illustrates how more accurate methods of time calculation in the built environment can address climate adaptation and urban performance of communities with promising results.",

keywords = "QGIS, Resilient Communities, Isochrones, Urban Analysis, Urban Predictions, Simulations",

author = "Luigi Pintacuda and Silvio Carta and Tommaso Turchi and Mauro Sabiu",

year = "2023",

month = nov,

day = "28",

language = "English",

isbn = "978-84-120885-7-1",

pages = "112--126",

booktitle = "Collective intelligence design symposium proceedings 2023",

publisher = "Institut d{\textquoteright}Arquitectura Avan{\c c}ada de Catalunya (Iaac), Spain",

note = "Responsive CIties, Collective Intelligence Design, IAAC 2023 ; Conference date: 27-11-2023 Through 28-11-2023",

url = "https://responsivecities2023.iaac.net/",

}

QRES, A QGIS plugin to calculate resilience based on proximity of urban resources. / Pintacuda, Luigi; Carta, Silvio; Turchi, Tommaso et al.
Collective intelligence design symposium proceedings 2023. Spain: Institut d’Arquitectura Avançada de Catalunya (Iaac), Spain, 2023. p. 112-126.

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

TY - GEN

T1 - QRES, A QGIS plugin to calculate resilience based on proximity of urban resources

AU - Pintacuda, Luigi

AU - Carta, Silvio

AU - Turchi, Tommaso

AU - Sabiu, Mauro

PY - 2023/11/28

Y1 - 2023/11/28

N2 - This study presents our latest development of a plugin for QGIS to help designers and planners to calculate resilience values for specific areas in urban contexts. Instead of radial distance, the proposed approach considers isochrones as the main driver of the computation, considering the time required to reach each urban typology, thus considering the constraints of specific environments, and providing more accurate results. This study illustrates how more accurate methods of time calculation in the built environment can address climate adaptation and urban performance of communities with promising results.

AB - This study presents our latest development of a plugin for QGIS to help designers and planners to calculate resilience values for specific areas in urban contexts. Instead of radial distance, the proposed approach considers isochrones as the main driver of the computation, considering the time required to reach each urban typology, thus considering the constraints of specific environments, and providing more accurate results. This study illustrates how more accurate methods of time calculation in the built environment can address climate adaptation and urban performance of communities with promising results.

KW - QGIS

KW - Resilient Communities

KW - Isochrones

KW - Urban Analysis

KW - Urban Predictions

KW - Simulations

UR - https://drive.google.com/file/d/1zfCkHEDTa8qyKJyF681B0ip721fVYy-6/view

M3 - Conference contribution

SN - 978-84-120885-7-1

SP - 112

EP - 126

BT - Collective intelligence design symposium proceedings 2023

PB - Institut d’Arquitectura Avançada de Catalunya (Iaac), Spain

CY - Spain

T2 - Responsive CIties, Collective Intelligence Design

Y2 - 27 November 2023 through 28 November 2023

ER -

QRES, A QGIS plugin to calculate resilience based on proximity of urban resources

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