Spencer, Patrick;
Altamirano, Hector;
(2020)
Creating a methodology to assess climate change adaptation capacity of residential infrastructure.
In:
Proceedings of the 10th Masters Conference: People and Buildings.
nceub – Network for Comfort and Energy Use in Buildings: Online.
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Abstract
Extreme weather catastrophes have been rising in the past years, as well as the global population that lives in cities. Therefore, we must prepare for the future through systems that help us measure the level of preparedness our infrastructures have to withstand threats related to climate change. A methodology was implemented to design a climate change adaptation evaluation framework for residential infrastructure, which consists of a versatile and straightforward Excel-based tool. The tool shows promising indicators of being a useful instrument to understand climate change-related threats that may affect a dwelling according to location, typology and, inputs such as construction, context and other factors. Areas for improvement are mainly related to input data and its preciseness, the correct interpretation of input selection and the representation of risk in percentage form, which could be questionable.
Type: | Proceedings paper |
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Title: | Creating a methodology to assess climate change adaptation capacity of residential infrastructure |
Event: | NCEUB Conferences, MC2020 Masters Conference People and Buildings, UK, 18 Dec 2020 |
Open access status: | An open access version is available from UCL Discovery |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Climate change, Adaptation, Metric, Methodology, Infrastructure. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10163109 |
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