Bridging the gap between resilience research and resilience planning in conflict contexts. Application of a federated urban resilience Model toward rapid recovery and sustainable development

dc.contributor.authorMoleiro Dale, Maria
dc.contributor.authorVivanco, Ramón
dc.contributor.authorNoennig, Joerg Rainer
dc.contributor.authorBarski, Jan
dc.date.accessioned2024-11-26T10:39:20Z
dc.date.available2024-11-26T10:39:20Z
dc.date.issued2024en
dc.descriptionGame changer? Planning for just and sustainable urban regions, Paris, 8-12th July 2024en
dc.description.abstractThe proliferation of global crises, such as climate and war-related issues, underscores the need for resilience assessment in urban systems to restore balance and achieve sustainable development. Despite extensive resilience research, a gap remains in adopting a common concept and effectively integrating resilience assessment into operational planning. This gap is especially critical in conflict contexts requiring rapid recovery. This paper aims to identify causes behind this gap and suggests integrating a federated urban resilience model into digital platforms. Focused on the case of Ukrainian cities, the preliminary findings from a cooperation project between the HafenCity University Hamburg and the German Corporation for International Cooperation (GIZ) GmbH, aim to enhance planning approaches for rapid recovery and sustainable urban growth, applicable to various crisis-affected contexts. Keywords: urban resilience, digital tools, rapid recovery, conflict, Ukraine
dc.description.versionpublished versionen
dc.identifier.isbn978-94-64981-82-7en
dc.identifier.pageNumber3093-3105
dc.identifier.urihttps://hdl.handle.net/20.500.14235/2184
dc.language.isoEnglishen
dc.publisherAESOPen
dc.rightsopenAccessen
dc.rights.licenseCC-BYen
dc.sourceGame changer? Planning for just and sustainable urban regions, Paris, 8-12th July 2024en
dc.titleBridging the gap between resilience research and resilience planning in conflict contexts. Application of a federated urban resilience Model toward rapid recovery and sustainable development
dc.typeconferenceObjecten
dc.type.versionpublishedVersionen
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