An urban modelling framework for climate resilience in low-resource neighbourhoods

dc.contributor.author Malekpour Koupaei, Diba
dc.contributor.author Marmur, Breanna
dc.contributor.author Shenk, Linda
dc.contributor.author Passe, Ulrike
dc.contributor.author Dorneich, Michael
dc.contributor.author Passe, Ulrike
dc.contributor.author Dorneich, Michael
dc.contributor.author Krejci, Caroline
dc.contributor.author Malekpour Koupaei, Diba
dc.contributor.author Marmur, Breanna
dc.contributor.author Shenk, Linda
dc.contributor.author Stonewall, Jacklin
dc.contributor.author Thompson, Janette
dc.contributor.author Thompson, Janette
dc.contributor.author Zhou, Yuyu
dc.contributor.department Aerospace Engineering
dc.contributor.department Architecture
dc.contributor.department Civil, Construction and Environmental Engineering
dc.contributor.department Natural Resource Ecology and Management
dc.contributor.department Virtual Reality Applications Center
dc.contributor.department English
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.contributor.department Geological and Atmospheric Sciences
dc.contributor.department Center for Building Energy Research (CBER)
dc.contributor.department Virtual Reality Applications Center
dc.date 2021-01-21T15:18:06.000
dc.date.accessioned 2021-02-24T21:19:05Z
dc.date.available 2021-02-24T21:19:05Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2020
dc.date.issued 2020-07-30
dc.description.abstract <p>Climate predictions indicate a strong likelihood of more frequent, intense heat events. Resource-vulnerable, low-income neighbourhood populations are likely to be strongly impacted by future climate change, especially with respect to an energy burden. In order to identify existing and new vulnerabilities to climate change, local authorities need to understand the dynamics of extreme heat events at the neighbourhood level, particularly to identify those people who are adversely affected. A new comprehensive framework is presented that integrates human and biophysical data: occupancy/behaviour, building energy use, future climate scenarios and near-building microclimate projections. The framework is used to create an urban energy model for a low-resource neighbourhood in Des Moines, Iowa, US. Data were integrated into urban modelling interface (umi) software simulations, based on detailed surveys of residents’ practices, their buildings and near-building microclimates (tree canopy effects, etc.). The simulations predict annual and seasonal building energy use in response to different climate scenarios. Preliminary results, based on 50 simulation runs with different variable combinations, indicate the importance of using locally derived building occupant schedules and point toward increased summer cooling demand and increased vulnerability for parts of the population.</p> <p><em>Practice relevance</em> To support planning responses to increased heat, local authorities need to ascertain which neighbourhoods will be negatively impacted in order to develop appropriate strategies. Localised data can provide good insights into the impacts of human decisions and climate variability in low-resource, vulnerable urban neighbourhoods. A new detailed modelling framework synthesises data on occupant–building interactions with present and future urban climate characteristics. This identifies the areas most vulnerable to extreme heat using future climate projections and community demographics. Cities can use this framework to support decisions and climate-adaptation responses, especially for low-resource neighbourhoods. Fine-grained and locally collected data influence the outcome of combined urban energy simulations that integrate human–building interactions and occupancy schedules as well as microclimate characteristics influenced by nearby vegetation.</p>
dc.description.comments <p>This article is published as Passe, Ulrike, Michael Dorneich, Caroline Krejci, Diba Malekpour Koupaei, Breanna Marmur, Linda Shenk, Jacklin Stonewall, Janette Thompson, and Yuyu Zhou. "An urban modelling framework for climate resilience in low-resource neighbourhoods." <em>Buildings and Cities</em> 1, no. 1 (2020). DOI: <a href="https://doi.org/10.5334/bc.17" target="_blank">10.5334/bc.17</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/arch_pubs/107/
dc.identifier.articleid 1106
dc.identifier.contextkey 19314197
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath arch_pubs/107
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/93547
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/arch_pubs/107/2020_PasseUlrike_UrbanModelling.pdf|||Fri Jan 14 18:26:42 UTC 2022
dc.source.uri 10.5334/bc.17
dc.subject.disciplines Environmental Design
dc.subject.disciplines Sustainability
dc.subject.disciplines Urban Studies and Planning
dc.subject.keywords cities
dc.subject.keywords heat stress
dc.subject.keywords microclimate
dc.subject.keywords neighbourhood
dc.subject.keywords occupancy data
dc.subject.keywords overheating
dc.subject.keywords urban modelling
dc.subject.keywords vulnerability
dc.title An urban modelling framework for climate resilience in low-resource neighbourhoods
dc.type article
dc.type.genre article
dspace.entity.type Publication
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