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Enregistrement W4414981129 · doi:10.1680/jensu.2025.178.5.341

Editorial: Sustainable and resilient infrastructure

2025· article· en· W4414981129 sur OpenAlexaff
Aryan Hojjati

Notice bibliographique

RevueProceedings of the Institution of Civil Engineers - Engineering Sustainability · 2025
Typearticle
Langueen
DomaineEngineering
ThématiqueInfrastructure Resilience and Vulnerability Analysis
Établissements canadiensNational Research Council Canada
Organismes subventionnairesnon disponible
Mots-clésClimate changeAction (physics)SustainabilityPopulationExtreme weatherGeopoliticsCritical infrastructureResilience (materials science)

Résumé

récupéré en direct d'OpenAlex

Welcome to this themed issue from the Institute of Civil Engineering’s Engineering Sustainability Journal entitled ‘Sustainable and Resilient Infrastructure’While news media may continue to pick and choose what they decide is to be our priority focus of the day, the focus of impacts from climate change is not so ephemeral. The inconvenient truth is that the intensity of geopolitical headlines has eclipsed global focus on climate action since the COVID pandemic. Energetic calls globally to Build Back Better (EDA, 2025/UNEP) have been largely drowned out by mass population calls for human rights. Meanwhile, almost muted are the ongoing climate scientists’ alarming calls to take greater action urgently, while we still can (IPCC, 2023).Since 2016, the annual World Economic Forum (WEF) Global Risk Report shows extreme weather/climate action failure is consistently ranked in the top two risks of likelihood and/or impact severity (WEF, 2020–2025). More recent results show these two are ranked at or near the top for short (2 years) and long-term (10 years) periods. Finally, it seems stakeholders realise these are real, imminent, and severely impactful threats set to continue for the foreseeable future (WEF, 2025). Every year, we see records of climatic extremes being broken; 2024 beat 2023’s record of being the hottest year in 175 years (WMO, 2025).A common driver for the design of infrastructure and insurance models is to minimise their exposure to risk, typically based on well-established climatic/market trends. We are now in the uncharted waters of climate change. Our understanding of Mother Nature’s highly complex systems is surficial, although advancing; meanwhile, our infrastructure remains vulnerable and exposed.The insurance sector is particularly aware, summed up by the 2024 report from world-leading insurer Munich RE, ‘Climate change is showing its claws’. Natural disasters, predominantly driven by extreme weather in 2024, caused global losses of US$320bn, with US$140bn being insured. Only 2 years since 1980 represented greater losses for the insurance sector (MunichRE, 2024). PWC’s Climate Risk and Insurance Report states, ‘many of the challenges of risk transfer in property insurance markets can be attributed to the fact that our physical infrastructure is not resilient…. making some [insurance] policies prohibitively expensive’ (PWC, 2024).As we have indicated here, forewarnings are not only from climate scientists but are cross-sectoral, representing finance/economics, property, and national security. Regardless of the flavour of the headlines or politics of the day, our only choice is to double down acceleration of actions to understand, adapt to, and mitigate the impacts of climate change. The good news is that technology and expertise do exist towards achieving this, as per the Climate Resilient Infrastructure Report (ICSI, 2024). The design of sustainable and climate-resilient infrastructure is central to longer-term adaptation. Ageing infrastructure was typically not designed for the nature, scale, and frequency of extreme events today. Whether maintaining existing or constructing new infrastructure, understanding the long-term challenges is key to optimising its design life and resilience to climate change. The OECD report Infrastructure for a Climate Resilient Future states that ‘achieving climate-resilient infrastructure systems requires a whole-of-government approach, combined with strong collaboration among public and private sectors, and other international and local actors’ (OECD, 2024). Looking ahead, the forthcoming IPCC Special Report on Climate Change and Cities (IPCC, 2025) will be a valuable information resource support to advance the research of our featured authors.This themed issue comprises five separate papers focused on how engineering design can advance understanding of requirements for sustainable and climate-resilient infrastructure and over-riding objective of UN SGDs, for example, SDGs 9, 11, and 13. The publication complements nicely the announcement earlier this year that the ICE is working with the British Standards Institution on the new PAS 3090 standard on climate adaptation pathways for infrastructure, building on the previous delivery of the PAS 2080 Carbon Management Standard (ICE, 2025).Starting out with the concept of developing a Holistic Framework for Infrastructure Resilience Assessments, the papers proceed to a life cycle assessment (LCA) focus, separately establishing the environmental and economic value of Transport Infrastructure in the UK before presenting the case study of an EXIOBASE analysis. The issue closes with an appraisal of carbon assessment tools applicable within the geotechnical sector.In the first paper, Medland et al. (2025) present a comprehensive scoping review of resilient assessment frameworks towards the development of a holistic framework that enables resilience forecasting to inform infrastructure design and adaptation, increasing resilience while preventing infrastructure overcapitalisation, resource overconsumption, or maladaptation. The review inter-alia includes a very useful, thoroughly researched, tabulated review of 110 different assessment tools, frameworks, and methodologies from around the world. This scoping review concludes that a practically applicable, holistic framework that meets the UK’s National Infrastructure Commission (NIC) brief is not evident in the literature to date. However, equally, it identifies that various elements could be drawn from the significant range of available tools to develop a tool capable of satisfying NIC requirements. The paper advises that adopting a place-based, holistic resilience assessment approach, aligned with the NIC brief, could enable both far-scenario analysis and enhanced forecasting capabilities.The next three papers are generated from the valuable work led by Dr Nikolaos Kalyviotis of the University of Crete, focusing on UK transport infrastructure. Our second paper by Kalyviotis (2025) investigates linear assumptions typically applied in LCA of infrastructure and whether non-linear assumptions may be more appropriate. Demonstrating the research’s awareness of reality in the field of road design and construction, the paper identifies how actual integration of LCA findings in designs can be limited. As readers familiar with infrastructure design and construction projects may be aware, delivery timelines may not adequately facilitate the execution/integration of findings from LCA/environmental/sustainability assessments. The need for further research to develop a new assessment tool that accommodates non-linear relationships is illustrated by a case study on aggregate road design.In the third paper of this issue, Kalyviotis et al. (2025a) address the differences between the bottom-up approach of cost-benefit analysis and the top-down approach of input–output analysis, notably how the latter keeps environmental and social value distinct from economic value. The team develops a model of the accounting process using the World Input–Output Database.Our fourth paper from the same team (Kalyviotis et al., 2025b) builds on the previous paper, undertaking an EXIOBASE analysis to research the environmental value of transport infrastructure in the UK. Describing five different LCA methods for environmental evaluation of a project, the paper selects the two models with the least inherent uncertainty for a detailed discussion. Using Pearson’s correlation coefficient, the paper provides a carefully structured infographic illustrating the complexity of linkages between the transport, waste, water, energy, and communications sectors, with transport and energy being the most closely linked. The nature, source, and interaction of various pollutants arising from transport infrastructure are a key focus of the research. A conclusion is that by further research integrating both quantitative and qualitative data, policy makers will better understand the cause-and-effect of pollution from transportation, aiding improved decisions regarding the promotion of sustainable transport infrastructure.The fifth and final paper in the issue, by Maria Marquez Mancha and Hunt (2025), also explores the range of available carbon assessment tools, this time in relation to the geotechnical sector, for which carbon assessment is in its early stages. The results highlight the need for guidance on how to select the most appropriate assessment tool, with only two of the five tools examined generating similar results, while also concluding that no single tool can cover all geotechnical assets. The paper provides a clear decision support flowchart to enable projects to select the most appropriate carbon footprint assessment tool based on their project requirements.Together, these papers provide the reader of this themed issue a comprehensive insight into the great range of available assessment tools, an understanding of their relevance, and of the internal mechanics of a focus few, together with guidance on how to navigate a path through them all to identify the most appropriate one(s) for a particular project. A key take-home for the reader should be that having all these tools is fine, but of limited value if the findings of the respective assessments are not integrated by the designers, supported by the policy makers, and implemented during the construction and operation of the infrastructure assets.Furthermore, mounting losses from extreme events are literally eroding the traditional basis for infrastructure design lives. While budget holders strive to avoid costs of perceived over-engineering, a robust understanding of future trends to enable revision of design basis is far from mature. The assessment tools reviewed in this issue are therefore of fundamental importance to building this new knowledge base. To optimise the sustainability and resilience of our infrastructure to withstand the increasing ravages of extreme climatic events, we must properly apply the most appropriate tools available to infrastructure planning, design, construction, and maintenance, while continuing to improve them to accommodate the complexities of inter-sectoral relationships.On behalf of the wider Editorial Team of the Engineering Sustainability Journal, we would like to personally thank you for your interest in this themed issue and hope that you enjoy it, finding it as informative as it is inspirational on maintaining a positive, solutions-oriented outlook on our ability to achieve sustainable and climate-resilient infrastructure.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,488
Score d'incertitude au seuil0,976

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,001
Tête enseignante GPT0,188
Écart entre enseignants0,187 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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Même revueProceedings of the Institution of Civil Engineers - Engineering SustainabilityMême sujetInfrastructure Resilience and Vulnerability AnalysisTravaux en français237 207