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Person: Amos Darko

Automated daily report generation from construction videos using ChatGPT and computer vision

Xiao, B., Wang, Y., Zhang, Y., Chen, C., & Darko, A. (2024). Automated daily report generation from construction videos using ChatGPT and computer vision. Automation in Construction, 168, 105874-. https://doi.org/10.1016/j.autcon.2024.105874

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Abstract

Daily reports are important in construction management, informing project teams about status, enabling timely resolutions of delays and budget issues, and serving as official records for disputes and litigation. However, current practices are manual and time-consuming, requiring engineers to physically visit sites for observations. To fill this gap, this paper proposes an automated framework to generate daily construction reports from on-site videos by integrating ChatGPT and computer vision (CV)-based methods. The framework utilizes CV methods to analyze video footage and extract relevant productivity and activity information, which is then fed into ChatGPT using proper prompts to generate daily reports. A web application is developed to implement and validate the framework on a real construction site in Hong Kong, generating daily reports over a month. This research enhances construction management by significantly reducing documentation efforts through generative artificial intelligence, with potential applications in jobsite safety management, quality reporting, and stakeholder communication.

Keywords

Construction daily report generation; Computer vision; ChatGPT; Construction management; Project documentation

No Stakeholder Is an Island in the Drive to This Transition: Circular Economy in the Built Environment

Adabre, M. A., Chan, A. P. C., Darko, A., Edwards, D. J., Yang, Y., & Issahaque, S. (2024). No Stakeholder Is an Island in the Drive to This Transition: Circular Economy in the Built Environment. Sustainability, 16(15), 6422-. https://doi.org/10.3390/su16156422

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Abstract

Ensuring optimum utilisation of the Earth’s finite resources engenders the circular economy (CE) concept which has attracted the attention of policymakers and practitioners worldwide. As a bifurcated strategy which involves both scientific knowledge, advanced technologies and behavioural changes, the CE transition is sociotechnical in nature. Yet, prolific studies focus on scientific knowledge and technologies alone, while studies on promoting CE practices or built environment stakeholders’ behaviour are limited. Using Stakeholder Theory, a comprehensive literature review on CE drivers was conducted. Through a questionnaire survey of professionals, key drivers identified were deployed to develop a 20-driver model for CE transition in the built environment. The model is relevant to policymakers and practitioners because it highlights essential drivers for optimum resource allocation. Moreover, the findings apprise policymakers of the drivers that pertain to key stakeholders (i.e., professional and higher educational institutions, society and clients, government and firms), thus stating the requirements for driving each stakeholder to achieve this sociotechnical transition.

Keywords

circular economy; sociotechnical transition; sustainability; drivers; stakeholder theory; waste reduction

Big data analytics in the AEC industry: scientometric review and synthesis of research activities

Ohene, E., Nani, G., Antwi-Afari, M. F., Darko, A., Addai, L. A., & Horvey, E. (2024). Big data analytics in the AEC industry: scientometric review and synthesis of research activities. Engineering, Construction, and Architectural Management. https://doi.org/10.1108/ECAM-01-2024-0144

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Abstract

Unlocking the potential of Big Data Analytics (BDA) has proven to be a transformative factor for the Architecture, Engineering and Construction (AEC) industry. This has prompted researchers to focus attention on BDA in the AEC industry (BDA-in-AECI) in recent years, leading to a proliferation of relevant research. However, an in-depth exploration of the literature on BDA-in-AECI remains scarce. As a result, this study seeks to systematically explore the state-of-the-art review on BDA-in-AECI and identify research trends and gaps in knowledge to guide future research.
This state-of-the-art review was conducted using a mixed-method systematic review. Relevant publications were retrieved from Scopus and then subjected to inclusion and exclusion criteria. A quantitative bibliometric analysis was conducted using VOSviewer software and Gephi to reveal the status quo of research in the domain. A further qualitative analysis was performed on carefully screened articles. Based on this mixed-method systematic review, knowledge gaps were identified and future research agendas of BDA-in-AECI were proposed.
The results show that BDA has been adopted to support AEC decision-making, safety and risk assessment, structural health monitoring, damage detection, waste management, project management and facilities management. BDA also plays a major role in achieving construction 4.0 and Industry 4.0. The study further revealed that data mining, cloud computing, predictive analytics, machine learning and artificial intelligence methods, such as deep learning, natural language processing and computer vision, are the key methods used for BDA-in-AECI. Moreover, several data acquisition platforms and technologies were identified, including building information modeling, Internet of Things (IoT), social networking and blockchain. Further studies are needed to examine the synergies between BDA and AI, BDA and Digital twin and BDA and blockchain in the AEC industry.
The study contributes to the BDA-in-AECI body of knowledge by providing a comprehensive scope of understanding and revealing areas for future research directions beneficial to the stakeholders in the AEC industry.

Keywords

Big data; Big data analytics; AEC; Bibliometric analysis; Systematic analysis

Developing a Body of Knowledge for Green Construction Project Management

Developing a Body of Knowledge for Green Construction Project Management. Darko, Amos & Chan, Albert PC (Eds.). October 2024.

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Abstract

Growing global imperatives to address sustainability concerns have boosted the importance and prominence of green construction projects worldwide. However, project managers may lack the specialist knowledge and/or technical skills to overcome the unique challenges to successfully deliver suitably sustainable green projects. This book aims to address this shortfall by unearthing, refining and synergising the hitherto scattered gems of experiential and theoretical knowledge, into a unified Body of Knowledge for green construction project management.

Comprising both conceptual principles as well as practical case studies, this book for the first time assembles, structures and consolidates a comprehensive body of knowledge for green construction project management that addresses the unique aspects of this critical domain. It will fulfil a now critical need: equipping industry practitioners, researchers and students with the core project management knowledge and skills needed to successfully deliver green construction projects. It is a must-read for anyone who seeks to develop core green construction project management knowledge and skills, and those intending to move into green construction project management.

Dr. Amos Darko ranked as top 0.05% scholar in Green Building

Assistant Professor in Construction Management Dr. Amos Darko was ranked in the top 0.05% of scholar in Green Building based on the comprehensive scope and impact of his work. This achievement speaks to the expertise Dr. Darko has in his field, and the value his work brings to CBE. Congratulations to Dr. Darko on this achievement! See more about Dr. Darko’s work here.

Measures, benefits, and challenges to retrofitting existing buildings to net zero carbon: A comprehensive review

Weerasinghe, L. N. K., Darko, A., Chan, A. P. C., Blay, K. B., & Edwards, D. J. (2024). Measures, benefits, and challenges to retrofitting existing buildings to net zero carbon: A comprehensive review. Journal of Building Engineering, 94, 109998-. https://doi.org/10.1016/j.jobe.2024.109998

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Abstract

Net zero carbon (NZC) retrofitting of existing buildings contributes to improving occupants' well-being, addressing carbon footprint directly and is key to solving the global climate crisis. However, a fragmented NZC retrofit knowledge base exists and this challenges the ability to effectively implement NZC practices. This study, therefore, integratively and comprehensively reviews existing literature on NZC retrofitting of existing buildings and identifies research gaps to provide future research directions. Bibliometric analysis was conducted using 1544 relevant articles identified from Scopus. Moreover, based on 125 carefully selected articles, a further qualitative analysis was also conducted. Results indicated a gradual increase in interest in NZC retrofitting research since 2007. Emergent findings reveal that the UK, Italy, US, China and Spain are the top five countries in this research field and that in NZC retrofitting, energy is mostly prioritised. Key research themes include NZC retrofitting benefits, challenges and measures. Based on identified knowledge gaps, future research directions are proposed to include: (1) analysis of NZC retrofitting measures based on building types and climate conditions; (2) integration of NZC retrofitting measures; (3) effects of occupants' health, well-being and satisfaction on retrofitting; (4) integration of modern technology; (5) quantitative study on benefits; and (6) dealing with objections to NZC retrofitting. Emergent findings generate an in-depth understanding of the NZC retrofitting field and provide a useful milestone reference for future NZC retrofitting practice and improvement in the industry.

Assistant Professor Amos Darko wins 2023 Sustainability Young Investigator Award

Dr. Amos Darko, assistant professor in Construction Management has won the competitive international sustainability award, the 2o23 Sustainability Young Investigator Award. The award is in recognition of excellence in the field of sustainability and sustainable development. Congratulations to Dr. Darko on this achievement!

Awareness, adoption readiness and challenges of railway 4.0 technologies in a developing economy

Awodele, I. A., Mewomo, M. C., Municio, A. M. G., Chan, A. P. C., Darko, A., Taiwo, R., Olatunde, N. A., Eze, E. C., & Awodele, O. A. (2024). Awareness, adoption readiness and challenges of railway 4.0 technologies in a developing economy. Heliyon, 10(4), e25934–e25934. https://doi.org/10.1016/j.heliyon.2024.e25934

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Abstract

The railway industry has witnessed increasing adoption of digital technologies, known as Railway 4.0, that is revolutionizing operations, infrastructure, and transportation systems. However, developing countries face challenges in keeping pace with these technological advancements. With limited research on Railway 4.0 adoption in developing countries, this study was motivated to investigate the awareness, readiness, and challenges faced by railway professionals towards implementing Railway 4.0 technologies. The aim was to assess the level of awareness and preparedness and identify the key challenges influencing Railway 4.0 adoption in Nigeria's railway construction industry. A questionnaire survey (was distributed to professionals in the railway construction sector to gather their perspectives on awareness of, preparation for, and challenges associated with the use of Railway 4.0 technologies. The results revealed that awareness of Railway 4.0 technologies was moderate, while readiness was low among the professionals. Using exploratory factor analysis, 10 underlying challenge constructs were identified including lack of technical know-how, resistance to change, infrastructure limitations, and uncertainty about benefits, amongst others. Partial Least Square Structural Equation Modelling (PLS-SEM) confirmed these constructs, with reliability and availability, lack of technical know-how, lack of training and resources, and uncertainties in benefit and gains having significant influence on awareness and readiness. The study concludes that focused efforts in training, infrastructure improvement, supportive policies, and communicating the advantages of Railway 4.0 are critical to drive adoption in Nigeria and other developing economies. The findings provide insights into tailoring Railway 4.0 implementation strategies for developing contexts.

Keywords

Railway 4.0; Awareness; Readiness; Challenges; Technologies

Key performance indicators for hospital planning and construction: a systematic review and meta-analysis

Liu, W., Chan, A.P.C., Chan, M.W., Darko, A. and Oppong, G.D. (2024), “Key performance indicators for hospital planning and construction: a systematic review and meta-analysis”, Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-10-2023-1060

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Abstract

Purpose
The successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC).

Design/methodology/approach
The KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed.

Findings
Results indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings.

Originality/value
There is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages.

Keywords

Key performance indicators; hospital projects; planning and construction; systematic review; meta-analysis; project monitoring effectiveness; industry innovation and synergy

Driving factors for the adoption of green finance in green building for sustainable development in developing countries: The case of Ghana

Debrah, C., Chan, A. P. C., Darko, A., Ries, R. J., Ohene, E., & Tetteh, M. O. (2024). Driving factors for the adoption of green finance in green building for sustainable development in developing countries: The case of Ghana. Sustainable Development, https://doi.org/10.1002/sd.3022

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Abstract

While there are many motivating factors for green finance (GF) implementation, a comprehensive taxonomy of these variables is lacking in the literature, especially for green buildings (GBs). This study aims to analyze the criticality and interdependence of GF-in-GB's driving factors. This study develops a valid set of factors to justify the interrelationships among the drivers. The drivers of GF-in-GB are qualitative in nature, and uncertainties exist among them due to linguistic preferences. This study applies the fuzzy Delphi method to validate eight drivers under uncertainties. Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) with qualitative information is used to determine the interrelationships among the drivers. The drivers were grouped under two categories: prominent drivers and cause-effect drivers. The findings revealed that “increased awareness of GF models in GB” and “preferential capital requirements for low-carbon assets” are the top two most prominent/important drivers of GF-in-GB. In Ghana, the top three cause group drivers are “climate commitment,” “improved access to and lower cost of capital,” and “favorable macroeconomic conditions and investment returns.” Drivers with the highest prominence values have the potential to affect and/or be affected by other drivers; therefore, managers and policymakers should prioritize promoting or pursuing these drivers in the short term. On the other hand, it is important to pay more than equal attention to the drivers with the highest net cause values because they have the largest long-term impact on the entire system. The theoretical and practical implications of the study are discussed, enhancing understanding and decision-making in GF-in-GB.