Review2023

A systematic review of artificial intelligence in managing climate risks of PPP infrastructure projects

Isaac Akomea-Frimpong · Jacinta Rejoice Ama Delali Dzagli · Kenneth Eluerkeh · Franklina Boakyewaa Bonsu · Sabastina Opoku-Brafi · Samuel Gyimah +3 more

30 citations0/0 files storedEngineering Construction & Architectural Management

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Public-Private Partnership Projects Construction Project Management and Performance BIM and Construction Integration

Abstract

Purpose Recent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects. Design/methodology/approach Systematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed. Findings The results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction. Research limitations/implications For researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain. Practical implications This article highlights the AI tools in mitigating climate crisis in PPP infrastructure management. Originality/value This article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

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References

2005Three Approaches to Qualitative Content Analysis 2022Systematic Approaches to a Successful Literature Review 2022Circular economy strategies for combating climate change and other environmental issues 2020Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions 2017Situating methods in the magic of Big Data and AI 2010Critical Success Factors for PPPs in Infrastructure Developments: Chinese Perspective 2002Selecting the appropriate project delivery method using AHP 2005Decision support system for selecting the proper project delivery method using analytical hierarchy process (AHP)

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