Erfani, Tohid;
Naeini, Mohammad Mortazavi;
Borgomeo, Edoardo;
Anvari, Mehrnaz;
Hurford, Anthony;
Erfani, Rasool;
Zarei, Azin;
... Madani, Kaveh; + view all
(2024)
Sustainability nexus AID: infrastructure resilience.
Sustainability Nexus Forum
, 32
(1)
, Article 13. 10.1007/s00550-024-00551-z.
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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.
| Type: | Article |
|---|---|
| Title: | Sustainability nexus AID: infrastructure resilience |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s00550-024-00551-z |
| Publisher version: | https://doi.org/10.1007/s00550-024-00551-z |
| Language: | English |
| Additional information: | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Analytics · Informatics · Data · Infrastructure Resilience · Sustainable Development · Decision Making · Computational Modelling |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10217210 |
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