RT Journal Article
T1 Adopting Resilience Thinking through Nature-Based Solutions within Urban Planning: 												A Case Study in the City of València
A1 García-Blanco, Gemma
A1 Navarro, Daniel
A1 Feliu, Efren
AB The paper exposes the experience of València in applying climate-resilient thinking to the current revision of the city’s General Urban Development Plan. A semi-quantitative, indicator-based risk assessment of heat stress was carried out on the 23 functional areas of the city sectorized by the Plan, including modeling and spatial analysis exercises. A data model of 18 indicators was built to characterize vulnerability. A thermal stress map was developed using the URbCLim model and a heat index was then calculated using Copernicus hourly data (air temperature, humidity, and wind speed) for the period of January 2008–December 2017 at a spatial resolution of 100 m × 100 m. General recommendations at the city level as well as guidelines for development planning in the functional areas at risk are provided, with specifications for the deployment of nature-based solutions as adaptation measures. From a planning perspective, the study positively informs the General Urban Development Plan, the City Green and Biodiversity Plan, and contributes to City Urban Strategy 2030 and City Missions 2030 for climate adaptation and neutrality. Applying the same approach to other climate change-related hazards (i.e., water scarcity, pluvial flooding, sea level rise) will allow better informed decisions towards resilient urban planning.
SN 2075-5309
YR 2023
FD 2023-05
LK https://hdl.handle.net/11556/2951
UL https://hdl.handle.net/11556/2951
LA eng
NO García-Blanco , G , Navarro , D & Feliu , E 2023 , ' Adopting Resilience Thinking through Nature-Based Solutions within Urban Planning : A Case Study in the City of València ' , Buildings , vol. 13 , no. 5 , 1317 . https://doi.org/10.3390/buildings13051317
NO Publisher Copyright: © 2023 by the authors.
NO This research was funded by the GrowGreen Project, under the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement number 730283).
DS TECNALIA Publications
RD 26 jul 2024