Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e26888 - e26888

Published: Feb. 24, 2024

The construction industry faces many challenges, including schedule and cost overruns, productivity constraints, workforce shortages. Compared to other sectors, it lags in digitalization every project phase. Artificial Intelligence (AI) Machine Learning (ML) have emerged as transformative technologies revolutionizing the sector. However, a discernible gap persists systematically categorizing applications of these throughout various phases life cycle. In response this gap, research aims present thorough assessment deployment AI ML across diverse projects, with ultimate goal furnishing valuable insights for effective integration intelligent systems within A literature review was performed identify building After scrutinizing literature, were presented based on critical existing showed that are more frequent planning stages. Moreover, opportunities stages discussed cycle categorization study. practical contribution study lies providing Academically, contributes by conducting review, cycle, identifying their different

Language: Английский

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A Study on Public Perceptions of Carbon Neutrality in China: has the Idea of ESG Been Encompassed?

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 10

Published: Jan. 3, 2023

China has pledged to become carbon neutral by 2060 and employed a variety of strategies minimize emissions. As people’s support achieve the neutrality goal affects its success, this study reviewed public’s perception via cluster analysis on microposts. The co-occurrence matrix showed 258 nodes 3,212 ties in social network. top five most prominent were neutralized, energy, China, blue-green, economy. keyword like blue-green (means water plant) illustrated popular terminology used mainland Weibo users essential role neutrality. multidimensional scaling found that there 11 clusters results revealed concerns about mainly related environment (e.g. low carbon, sustainable, wind power), country poverty), governance (responsibility, government report). believed achieving carbon-neutrality allows us pursue better life. Among data collected, positive sentiment microposts (83.9%) approximately eight times more than negative ones (9.9%), only 6.3% neutral. indicated opitimistic

Language: Английский

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Bibliometric analysis of the literature on risk management in the construction sector: Exploring current and future trends

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: 15(8), P. 102843 - 102843

Published: May 4, 2024

The literature's current state of the art and future research directions for risk management in construction sector are described analyzed this paper. Web Science VOSviewer-Based Literature: A Bibliometric Visualization Tool. web science core collection 676 publications on written between 2000 2021 was examined. work investigates cluster analysis, co-occurrences analysis authors' keywords, mapping bibliographic coupling. Results show contribution 61 authors from 80 countries, 45 institutions, 20 keywords were identified organized three clusters: Risk project management, Enterprise sector, Effective success.

Language: Английский

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A Review of Computer Vision-Based Monitoring Approaches for Construction Workers’ Work-Related Behaviors

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 7134 - 7155

Published: Jan. 1, 2024

Construction workers' behaviors directly affects labor productivity and their own safety, thereby influencing project quality. Recognizing monitoring the construction-related is therefore crucial for high-quality management orderly construction site operation. Recent strides in computer vision technology suggest its potential to replace traditional manual supervision approaches. This paper explores research on using vision. Through bibliometrics content-based analysis, authors present latest this area from three perspectives: "Detection, Localization, Tracking Workers," "Recognition of Workers' Activities," "Occupational Health Safety Behavior Monitoring." In terms literature's volume, there has been a notable increase field. Notably, focus safety-related literature predominant, underscoring concern occupational health. Vision algorithms have witnessed an utilization object detection. The ongoing future trajectory anticipated involve multi-algorithm integration emphasis enhancing robustness. Then summarize review engineering impact technical suitability, analyze limitations current perspectives approaches application scenarios. Finally, it discusses directions field together with generative AI models. Furthermore, hope can serves as valuable reference both scholars engineers.

Language: Английский

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Artificial Intelligence Methods for the Construction and Management of Buildings

Sensors, Journal Year: 2023, Volume and Issue: 23(21), P. 8740 - 8740

Published: Oct. 26, 2023

Artificial intelligence covers a variety of methods and disciplines including vision, perception, speech dialogue, decision making planning, problem solving, robotics other applications in which self-learning is possible. The aim this work was to study the possibilities using AI algorithms at various stages construction ensure safety process. objects research were scientific publications about use artificial ways optimize To search for information, Scopus Web Science databases used period from early 1990s (the appearance first publication on topic) until end 2022. Generalization main method. It has been established that set technologies complement traditional human qualities, such as well analytical abilities. 3D modeling design buildings, machine learning conceptualization 3D, computer planning effective equipment, superintelligence have studied. proven automatic programming natural language processing, knowledge-based systems, robots, building maintenance, adaptive strategies, programming, genetic unmanned aircraft systems allow an evaluation construction. prospects are shown.

Language: Английский

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Public Opinion Mining on Construction Health and Safety: Latent Dirichlet Allocation Approach

Buildings, Journal Year: 2023, Volume and Issue: 13(4), P. 927 - 927

Published: March 31, 2023

The construction industry has been experiencing many occupational accidents as working on sites is dangerous. To reduce the likelihood of accidents, companies share latest health and safety news information social media. While research studies in recent years have explored perceptions towards these companies’ media pages, there are no big data analytic conducted Instagram about safety. This study aims to consolidate public by analyzing posts. adopted a analytics approach involving visual, content, user, sentiment analyses posts (n = 17,835). Latent Dirichlet Allocation, kind machine learning for generative probabilistic topic extraction, five most mentioned topics were: (a) training service, (b) team management, (c) organization, (d) workers’ work family, (e) users’ action. Besides, Jaccard coefficient co-occurrence cluster analysis revealed: collocations were ‘construction week’, ‘safety first’, team’, largest clusters training’, ‘occupational administration’, ‘health environment’, active users ‘Parallel Consultancy Ltd.’, ‘Pike Consulting Group’, ‘Global Training Canada’, positive accounted an overwhelming figure 85%. findings inform that help create awareness develop preventative measures increased decreased incidents.

Language: Английский

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Energy Consumption in Higher Education Institutions: A Bibliometric Analysis Focused on Scientific Trends

Buildings, Journal Year: 2024, Volume and Issue: 14(2), P. 323 - 323

Published: Jan. 24, 2024

While universities are expected to exemplify sustainable practices, they often encounter high energy demands. This dichotomy highlights the necessity for research into their consumption. Through a Systematic Literature Review, we examined international trends in this field and explored factors influencing The importance of article stems from its novel approach consumption universities, addressed global comprehensive perspective, offering generalizable insights. Additionally, it pioneers use market concentration indicator (Herfindahl–Hirschman index) measure level diversity various bibliometric aspects. extended perspective our helps close knowledge gaps about scientific common factors. Our results show that topic has been investigated with limited involvement social sciences. Building function, intensity, disciplinary orientation distinctive field. Most influential authors, countries, journals area were identified. analysis contributes academically, by mapping providing guidance future studies; practically, insights educational administrators on affecting consumption; terms policy, advocating promotion sciences-based investigations topic.

Language: Английский

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Modularity clustering of economic development and ESG attributes in prefabricated building research

Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10

Published: Oct. 26, 2022

One major change in the modern construction industry worldwide recent years is moving toward prefabricated buildings (offsite construction) to achieve sustainable development. Despite an increase attention ESG due global stock markets’ requirements and aid industries achieving goal, few or even no research investigated attributes of buildings. Additionally, subitems different receive varying attention. Developed countries are primarily subject rules, but laws developing at their infant stages. No study examined effects economic progress on buildings’ attributes. The gaps filled by visualising clustering WoS Scopus articles’ keywords, themes, authors’ locations. This article also studied evolution this field. Based science map modularity cluster analysis, cost control most concerned issue developed countries. There far more articles related sustainability environmental aspects Although governance have not been thoroughly studied, inadequate increases bond yields. Therefore, future may expand aspect benefit academia.

Language: Английский

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Weibo users and Academia's foci on tourism safety: Implications from institutional differences and digital divide

Heliyon, Journal Year: 2022, Volume and Issue: 9(3), P. e12306 - e12306

Published: Dec. 10, 2022

Tourism safety is essential for tourists and tourism practitioners. This study conducted a bibliometric analysis using VOSviewer CiteSpace 2018 articles indexed on the Web of Science (WoS). It also analysed 7293 Weibo posts between 1977 2022 Python, MYSQL, AI sentiment, Tableau. The first publication WoS appeared in 1977, while microblog dated was back to 2011. Compared information posted Weibo, annual publications about recorded stable increment. On (WoS), academic staff universities produced largest number posts. flip side, most productive organisations are government agencies popular destinations. "Accident", "medical tourism", "environment", "mediating role", "hospitality" were important burst nodes WoS. "Quality", "accident", health-related words foci both Science, top 10 keywords safety-related could be classified into two groups: health ("Covid-19", "restoration", "pandemics", "Sars-Cov-2", "Sars", "mental health") IT terminologies ("big data", "artificial intelligence"). has been concluded that intelligence (AI)" more likely included researched by academia. In contrast, public may not know or use industry. Besides, related risks hazards drowning traffic hazards, such as risks. digital divide explain difference: circle benefits from age than laypersons. result institutional differences asymmetry.

Language: Английский

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Insights into the Application of Machine Learning in Industrial Risk Assessment: A Bibliometric Mapping Analysis

Sustainability, Journal Year: 2023, Volume and Issue: 15(8), P. 6965 - 6965

Published: April 20, 2023

Risk assessment is of great significance in industrial production and sustainable development. Great potential attributed to machine learning risk as a promising technology the fields computer science internet. To better understand role this field investigate current research status, we selected 3116 papers from SCIE SSCI databases WOS retrieval platform between 1991 2022 our data sample. The VOSviewer, Bibliometrix R, CiteSpace software were used perform co-occurrence analysis, clustering dual-map overlay analysis keywords. results indicate that development trend can be divided into three stages: initial exploration, stable development, high-speed Machine algorithm design, applications biomedicine, monitoring construction machinery, environmental protection are knowledge base study. There hotspots application assessment: study algorithms, Industry 4.0 system, autonomous driving. At present, basic theories structural systems related have been established, there numerous directions extensive frontier branches. “Random Forest”, “Industry 4.0”, “supply chain assessment”, “Internet Things” at forefront research.

Language: Английский

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