A QGIS plugin to calculate resilience based on the proximity of urban resources
Carta, Silvio ORCID: 0000-0002-7586-3121 , Pintacuda, Luigi, Turchi, Tommaso and Sabiu, Mauro (2024) A QGIS plugin to calculate resilience based on the proximity of urban resources. In: Responsive Cities 2023 Proceedings: Collective Intelligence Design Symposium. Responsive Cities Collective Intelligence Design, 1 . Institut d’Arquitectura Avançada de Catalunya - Institute for Advanced Architecture of Catalonia (IAAC), Barcelona, Spain, pp. 112-126. ISBN 978-8412088571
|
PDF (Accepted conference paper)
46990_CARTA_A_QGIS_plugin_to_calculate_resilience_based_on_the_proximity_of_urban_resources.pdf - Accepted Version Download (3MB) | Preview |
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 accounting for 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.
Item Type: | Conference Proceedings |
---|---|
Title of Proceedings: | Responsive Cities 2023 Proceedings: Collective Intelligence Design Symposium |
Uncontrolled Keywords: | QGIS; resilient communities; isochrones; urban analysis; urban predictions; simulations |
Subjects: | N Fine Arts > N Visual arts (General) For photography, see TR N Fine Arts > NA Architecture N Fine Arts > NC Drawing Design Illustration |
Faculty / School / Research Centre / Research Group: | Faculty of Liberal Arts & Sciences Faculty of Liberal Arts & Sciences > School of Design (DES) |
Last Modified: | 02 May 2024 12:01 |
URI: | http://gala.gre.ac.uk/id/eprint/46990 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year