Sustainability nexus AID: infrastructure resilience

Tohid Erfani (), Mohammad Mortazavi Naeini, Edoardo Borgomeo, Mehrnaz Anvari, Anthony Hurford, Rasool Erfani, Azin Zarei, Mir A. Matin and Kaveh Madani
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Tohid Erfani: University College London
Mohammad Mortazavi Naeini: Department of Planning Industry and Environment
Edoardo Borgomeo: University of Cambridge
Mehrnaz Anvari: Fraunhofer Institute for Algorithms and Scientific Computing
Anthony Hurford: Environment Agency
Rasool Erfani: University College London
Azin Zarei: United Nations University Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES)
Mir A. Matin: United Nations University Institute for Water, Environment, and Health (UNU-INWEH)
Kaveh Madani: United Nations University Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES)

Sustainability Nexus Forum, 2024, vol. 32, issue 1, No 13, 7 pages

Abstract: Abstract Infrastructure resilience advanced through nexus thinking is pivotal for societies to handle disruptions and ensure sustainable functionality. This interconnected approach understands infrastructure as an interdependent complex system and enables cooperative planning to achieve resilience. However, challenges like data inadequacy, financial limitations and governance issues impede its adoption, especially in developing regions. The United Nations University (UNU) Sustainability Nexus Analytics, Informatics and Data (AID) Programme strives to promote integrated resource management for sustainable development and fulfilling the UN 2030 Agenda. Through its Infrastructure Resilience Module, the initiative provides tools, data platforms and localised capacity building to empower professionals and communities for evidence-based, collaborative decision-making accounting for intersectoral relationships. By supporting context-specific analytical capabilities, bridging data gaps, and governance silos, the programme aims to pave the way for resilient and sustainable infrastructure development, particularly across vulnerable regions in the Global South, which face disproportionate infrastructure service disruptions.

Keywords: Analytics; Informatics; Data; Infrastructure Resilience; Sustainable Development; Decision Making; Computational Modelling (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s00550-024-00551-z

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