Towards a heterogeneous data processing method to support planners in increasing climate resilience: An application on urban heat waves
| dc.contributor.author | Chieffallo, Lucia | |
| dc.date.accessioned | 2026-05-21T10:40:40Z | |
| dc.date.issued | 2026 | |
| dc.description | plaNext – Next Generation Planning, 16, 27–42 | |
| dc.description.abstract | The urgency of addressing climate change-induced risks is internationally recognised. However, urban and territorial contexts do not yet appear ready to face this challenge. Based on the state of the art, this research proposes the definition of an innovative method for mapping heterogeneous data to support planners in increasing climate resilience. The application of the research project presented in this paper focuses on heat waves in the urban area of the Municipality of Lamezia Terme (Calabria Region, Italy). Taking into account climatic and non-climatic information, the results are useful for planners to identify priority areas and subsequently define an action plan containing appropriate adaptation measures. | |
| dc.description.version | published version | |
| dc.identifier.citation | Chieffallo, L. (2026). Towards a heterogeneous data processing method to support planners in increasing climate resilience: An application on urban heat waves. plaNext – Next Generation Planning, 16, 27–42. https://doi.org/10.24306/plnxt/119 | |
| dc.identifier.doi | 10.24306/plnxt/119 | |
| dc.identifier.issn | 2468-0648 | |
| dc.identifier.pageNumber | 27-42 | |
| dc.identifier.uri | https://doi.org/10.24306/plnxt/119 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14235/3426 | |
| dc.language.iso | en | |
| dc.publisher | AESOP | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | urban planning | |
| dc.subject | climate change | |
| dc.subject | adaptation | |
| dc.subject | urban heat waves | |
| dc.subject | climate resilience | |
| dc.subject | GIS | |
| dc.subject | Italy | |
| dc.title | Towards a heterogeneous data processing method to support planners in increasing climate resilience: An application on urban heat waves | |
| dc.type | Article |