Hanbin Luo

• Head of Department at Huazhong University of Science and Technology

A brain-computer interface (BCI) enables direct communication between the brain and an external device. Electroencephalogram (EEG) is a common input signal for BCIs, due to its convenience and low cost. Most research on EEG-based BCIs focuses on the accurate decoding of EEG signals, while ignoring their security. Recent studies have shown that mach...

Objective: An electroencephalogram (EEG)-based brain-computer interface (BCI) enables direct communication between the human brain and a computer. Due to individual differences and non-stationarity of EEG signals, such BCIs usually require a subject-specific calibration session before each use, which is time-consuming and user-unfriendly. Transfer...

Artificial intelligence (AI) approaches, such as deep learning models, are increasingly used to determine risks in construction. However, the black-box nature of AI models makes their inner workings difficult to understand and interpret. Deploying explainable artificial intelligence (XAI) can help explain why and how the output of AI models is gene...

Deep learning models are black boxes. Thus, determining the source domain data contributing to transfer learning for ground settlement prediction is impossible. The research presented in this article aims to determine the source domain data (i.e., the dataset or domain used for model pre-training) that contributes most to transfer learning for risk...

A brain-computer interface (BCI) establishes a direct communication pathway between the brain and an external device. Electroencephalogram (EEG) is the most popular input signal in BCIs, due to its convenience and low cost. Most research on EEG-based BCIs focuses on the accurate decoding of EEG signals; however, EEG signals also contain rich privat...

Objective: An electroencephalogram (EEG)-based brain-computer interface (BCI) enables direct communication between the human brain and a computer. Due to individual differences and non-stationarity of EEG signals, such BCIs usually require a subject-specific calibration session before each use, which is time-consuming and user-unfriendly. Transfer...

Ensuring the structural safety of buried pipelines is critical for urban areas due to their capacity for transporting important liquid supplies and wastes. Due to the dangerous (i.e., harmful gas) and narrow environment of pipelines, using robots instead of manual work has become an excellent solution to maintain the pipelines. However, because of...

Establishing a base on the lunar surface has become a new goal for space powers and even all humankind to explore the moon. However, the extreme environment and the lack of resources pose many challenges to the construction project. In this paper, an assembled and interlocking mixed structure was designed. The sintered lunar regolith can be used to...

Explainable artificial intelligence (XAI) is a burgeoning concept. It is gaining prominence as an approach to better understanding how AI solutions' outputs can improve decision-making. Evaluation frameworks to enable organizations to understand XAI's what, why, how, and when are yet to be developed. Thus, we aim to fill this void by developing a c...

Building demolition caused by urban road widening projects can lead to engineering, economic, and environmental issues and should be planned at the design stage. Based on as-is BIM, this paper proposes a method to estimate the building demolition caused by urban road widening using online map data and statistics on government websites. The as-is BI...

Safety training plays a pivotal role in effectively reducing unsafe behaviors in the construction industry. Despite the numerous effort to improve safety training, existing studies lacked consideration of trainees' different learning characters, nor did they adapt the suitable training materials to trainees' mastery of safety knowledge. Against thi...

Explainable artificial intelligence has received limited attention in construction despite its growing importance in various other industrial sectors. In this paper, we provide a narrative review of XAI to raise awareness about its potential in construction. Our review develops a taxonomy of the XAI literature comprising its precepts and approaches...

Explainable artificial intelligence is an emerging and evolving concept. Its impact on construction, though yet to be realised, will be profound in the foreseeable future. Still, XAI has received limited attention in construction. As a result, no evaluation frameworks have been propagated to enable construction organisations to understand the what,...

Tunnel boring machines are widely used to construct underground rail networks in urban areas. However, ground settlement due to complex geological conditions is an ever-present reality requiring continuous monitoring and management of risks. This paper addresses the following research question: How can we predict tunnel-induced ground settlement wi...

Sustainable road planning in the cities' built-up areas strives to meet traffic demands of society within limited spaces available for construction and various constraints in the built environment considering engineering, traffic, economic, social, and environmental factors. Unlike rural areas, road planning in the built environment can be signific...

There have been many studies examining computer vision-enabled research in construction. They use an array of algorithms to recognize ‘objects’ in images and videos to classify, segment or verify information based on generic databases. The emphasis has generally been placed on measuring the accuracy of object detectors, such as Faster Recurrent-Con...

Main road widening can reduce the clearance of the low-level underpass road, restricting the passage of vehicles and leading to collisions with structures. Therefore, checking the clearance of the underpass road effectively should be considered at the design stage. This paper describes a digital twin approach for checking the clearance of underpass...

Physiological computing uses human physiological data as system inputs in real time. It includes, or significantly overlaps with, brain-computer interfaces, affective computing, adaptive automation, health informatics, and physiological signal based biometrics. Physiological computing increases the communication bandwidth from the user to the compu...

Using computer vision and deep learning (e.g., Convolutional Neural Networks) to automatically recognise unsafe behaviour from digital images can help managers identify and respond quickly to such actions and mitigate an adverse event. However, there has been a tendency for computer vision studies in construction to focus solely on detecting unsafe...

Retrieving unsafe behaviours from an existing digital database can provide managers and the like with the necessary information to put in place strategies to improve safety in construction. Prevailing studies have focused on developing content-based image retrieval (CBIR) approaches (e.g., color-based) to retrieve objects and materials obtained fro...

HBIM is an important and useful asset for historical building protection. It hassignificant advantages in the digital structured archiving of building structures and materials,which has been widely used and studied. This paper proposes a novel framework of HBIMdatabase, which can be further divided into four parts: architectural status database, co...

Sintering is a feasible method for the in situ manufacturing of lunar construction materials with high utilization rates and good service durability. To investigate a feasible in situ sintering method for lunar construction materials, the HUST-1 lunar regolith simulant (LRS) was used as the only raw material in this study, and we compared the appar...

Highway asset management requires capturing the highway's status. However, the onsite survey of the highway is very costly and time-consuming. This paper presents a novel approach for creating the digital twin of a highway using map data. The digital twin consists of primary highway components, including horizontal alignment, vertical alignment, cr...

The architecture, engineering, and construction (AEC) industry has seen a continuous growth in the application of Building Information Modelling (BIM) over the last two decades while building automation and robotics is also gaining ground in the meantime. With more joint applications of both BIM and robotics being exposed, the compatibility of BIM...

Urban rail transit (URT) infrastructure is critical for the economic and social development of an economy. The construction and operation of URT systems invariably require significant investment. Yet, governments are often subjected to fiscal constraints and cannot provide taxpayers with efficient and effective rails services. Development-based lan...

Microbiologically induced calcium carbonate precipitation (MICP) is a new technique in environmental geotechnical engineering. Ultrafine particles including nanoparticles consisting of clay particles and organic matter present in the nanometer size range are ubiquitous in sand due to the erosion or chemical reactions of earth minerals. In this pape...

The need for manual semantic annotation to domain-specific building information modeling (BIM) models limits the application of BIM technology in various architecture, engineering, and construction fields. BIM semantic enrichment refers to a procedure that can identify missing information and improve interoperability across different applications....

A brain–computer interface (BCI) establishes a direct communication pathway between the human brain and a computer. It has been widely used in medical diagnosis, rehabilitation, education, entertainment, and so on. Most research so far focuses on making BCIs more accurate and reliable, but much less attention has been paid to their privacy. Develop...

Sustainable urban road planning should endeavour to meet current and future traffic-related demands and achieve financial, environmental, and social benefits, which is a complex and interdisciplinary issue that needs to consider various factors and data. Multi-criteria decision making (MCDM) can provide reasonable solutions, and some existing studi...

In Ethiopian construction projects, schedule delay risk is a predominant issue because it is not properly addressed. Although several studies have been focused on the various effects of risk in construction projects, limited efforts have been made to investigate the typical and the overall schedule delay risk. In this study, our aim is to detect th...

Segment typesetting is an important procedure in shield tunneling construction, but its current practices have been viewed as being low-efficiency and are considered to be less helpful in automatic typesetting for deviation correction. This study develops a novel parametric shield tunnel modeling method (PSTMM) that provides functions of shield seg...

Understanding the complex interaction between human needs and physical facilities in public spaces remains a challenge given the knowledge gap in sustainable cities design and research. This study selected six typical urban business walkways to compare the physiological and psychological effects of a visual-audio environment dominated by visual med...

Predicting unsafe behaviour in advance can enable remedial measures to be put in place to mitigate likely accidents on construction sites. Prevailing safety studies in construction tend to be retrospective and focus on examining the conditions that contribute to unsafe behaviour from a psychological perspective. While such studies are warranted, th...

The occurrence of a delay in the construction projects is common and significantly affects by enormous ways. This study investigates the typical causes of delay at different stages of construction and its effect in the Ethiopian construction projects. Using a questionnaire with 52 causes and 5 effects of delay, data were collected from 77 participa...

Stochastic nonlinear dependencies have been reported extensively between different uncertain parameters or in their time or spatial variance. However, the description of dependency is commonly not provided except a linear correlation. The structural reliability incorporating nonlinear dependencies thus needs to be addressed based on the linear corr...

Noise annoyance is widely recognized as an expression of psychological strain in acoustic environments. It is closely related to the cognitive capability, risk perception, and decision-making ability of workers and can lead to unsafe behavior and unsatisfactory work performance. Considering the unique working properties and environment, a shield tu...

In spite of the considerable research on construction labor management, labor resource availability remains a challenge for China’s construction projects. The reason is the separation between contractors and laborers caused by the main labor resource utilization method, namely, labor subcontracting rather than direct recruitment. Service-oriented c...

Estimation of construction waste generation (CWG) at the field scale is a crucial but challenging task for effective construction waste management (CWM). Extant field-scale CWG modeling approaches have faced difficulties in obtaining accurate results due to a lack of detailed CWG data, and most of them fail to consider the complex relationship amon...

University students are very likely to experience temperature steps before class in hot summer. This study aims to investigate the overall effects of step changes on students' subjective perception, physiological response and learning performance, so as to explore an optimal thermal condition for classrooms in hot summer. Four typical temperature s...

Concrete is ubiquitous in the modern construction and building industry, bugholes are one of the most typical imperfections on concrete surface, and traditional manual inspection techniques are inefficient and difficult to rapidly deploy. With the development of image processing and deep learning techniques, new opportunities and possible solutions...

Construction is a complex human–machine–environment system, and the quality and safety management during construction faces numerous challenges. As the new-generation information technology develops, digital twin now can be used in construction to improve the quality and safety management and promote smart construction in China. Computability and c...

Physiological computing uses human physiological data as system inputs in real time. It includes, or significantly overlaps with, brain-computer interfaces, affective computing, adaptive automation, health informatics, and physiological signal based biometrics. Physiological computing increases the communication bandwidth from the user to the compu...

This paper presents an unsupervised interest point detection and description method named Properties Optimization Point (POP), which provides a unified objective to optimize different properties of interest point. First, the proposed objective formulates the interest point set as a latent variable, which is flexible to integrate different propertie...

The information generated from a nonconformance can be used to determine the party responsible for ensuring that quality standards are assured. However, in the construction industry, the absence of a uniform and transparent system for managing quality information undermines the assurance process and may lead to disputes among stakeholders. In addre...

Within a dynamic and complex working environment, fatigue statuses (involving physical and mental fatigue) of workers on construction sites tend to have a more serious impact on work performance than general workplaces. To improve safety management on sites, valid fatigue management measures for workers are urgently required. Specifically, there ar...

This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation systems. Based on systemic thinking and taking a sustainability perspective, we investigate the long-term resilience of the road transportation systems in four cities in China from 1998 to 2017, namely Beijing, Tianjin,...

Active learning (AL) selects the most beneficial unlabeled samples to label, and hence a better machine learning model can be trained from the same number of labeled samples. Most existing active learning for regression (ALR) approaches are supervised, which means the sampling process must use some label information, or an existing regression model...

Regulations play an important role in assuring the quality of a building’s construction and minimizing its adverse environmental impacts. Engineers and the like need to retrieve regulatory information to ensure a building conforms to specified standards. Despite the availability of search engines and digital databases that can be used to store regu...

Hazards potentially affect the safety of people on construction sites include falls from heights (FFH), trench and scaffold collapse, electric shock and arc flash/arc blast, and failure to use proper personal protective equipment. Such hazards are significant contributors to accidents and fatalities. Computer vision has been used to automatically d...

This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation systems. Based on systemic thinking and taking a sustainability perspective, we investigate the long-term resilience of the road transportation systems in four cities in China from 1998 to 2017, namely Beijing, Tianjin,...

An electroencephalogram (EEG) based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g., amyotrophic lateral sclerosis patients, who have no other effective means of communication with another person or a computer. Most studies so far focused o...

There is a tendency for accidents and even fatalities to arise when people enter hazardous work areas during the construction of projects in urban areas. A limited amount of research has been devoted to developing vision-based proximity warning systems that can determine when people enter a hazardous area automatically. Such systems, however, are u...

Lack of trust has been an ongoing issue for decades in construction quality management, hindering the improvement of quality performance. The development of mutual trust depends on immutable, traceable, and transparent construction quality information records. However, current information technologies cannot meet the requirements. To address the ch...

With the outbreak of the 2019 novel coronavirus (COVID-19) epidemic in Wuhan, China, in January 2020, the escalating number of confirmed and suspected cases overwhelmed the admission capacity of the designated hospitals. Two specialty field hospitals—Huoshenshan and Leishenshan—were designed, built and commissioned in record time (9–12 days) to add...

To capture viscoelastic behavior of polymeric damping materials based on limited dynamic mechanical analysis tests, a simple fractional temperature spectrum model representing the viscoelastic materials is proposed in this paper and experimental tests aims at stressing the validity of the model. The storage modulus, the loss modulus, and the loss f...

Examining past near-miss reports can provide us with information that can be used to learn about how we can mitigate and control hazards that materialise on construction sites. Yet, the process of analysing near-miss reports can be a time-consuming and labour-intensive process. However, automatic text classification using machine learning and ontol...

Identifying potential hazards of construction project is a data-intensive process that involves various types of information such as site data, specifications, and engineering documents. How to effectively convert the information into a machine processable format for safety management is a challenging task. To address this problem, in this paper, c...

Previous studies have shown that human senses interact with each other. In this study, an experiment was conducted in a dining space to find methods for improving the indoor sound environment through audio-visual interaction. Differences among diners' conversation behaviours were collected on the basis of acoustic measurements before and after disp...

In this paper, we aim to address the following research question: How can a construction organization reduce and contain errors in its projects and mitigate rework and failures? We adopt an organizing sense-making perspective to acquire a sense of order of quality (e.g., rework) and to understand its relationship with safety (e.g., unsafe behavior...

This paper proposes applications of a hybrid ground source heat pump system combining cooling tower as auxiliary cooling source and capillary radiation roof as indoor terminal in an office in the Yangtze River Basin of China. By simulations in TRNSYS environment, the system feasibility was investigated and compared to conventional HVAC system (wate...

Active learning (AL) selects the most beneficial unlabeled samples to label, and hence a better machine learning model can be trained from the same number of labeled samples. Most existing active learning for regression (ALR) approaches are supervised, which means the sampling process must use some label information, or an existing regression model...

Advancements in the development of deep learning and computer vision-based approaches have the potential to provide managers and engineers with the ability to improve the safety performance of their construction operations on-site. In practice, however, the application of deep learning and computer vision has been limited due to an array of technic...

An electroencephalogram (EEG) based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g., amyotrophic lateral sclerosis patients, who have no other effective means of communication with another person or a computer. Most studies so far focused o...

Recently, greater research attention has focused on the application of solar power generation technology in building construction to reduce building energy consumption and encourage increased sustainable development. An emerging solar power generation technology is in the use of Building-integrated Photovoltaics (BIPVs), where photovoltaic material...

The emotional and mental states of high-altitude construction workers (e.g., emotions and mental fatigue) are one of the critical factors affecting work performance (e.g., safety, health, construction quality, and productivity). To prevent undesired results from adverse emotional and mental states, active interventions for workers are important. Ta...

The process of identifying and bringing to the fore people’s unsafe behavior is a core function of implementing a behavior-based safety (BBS) program in construction. This can be a labor-intensive and challenging process but is needed to enable people to reflect and learn about how their unsafe actions can jeopardize not only their safety but that...

Several prototype vision-based approaches have been developed to capture and recognize unsafe behavior in construction automatically. Vision-based approaches have been difficult to use due to their inability to identify individuals who commit unsafe acts when captured using digital images/video. To address this problem, we applied a novel deep lear...

This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation infrastructure. Based on systemic thinkings and sustainability perspectives, we investigate the long-term resilience of the road transportation systems in four cities of China from 1998 to 2017, namely Beijing, Tianjin,...

Safety risk identification of metro construction is a knowledge-intensive process involving various stakeholders and communities. Currently, safety risk information related to decision making in metro construction is ill-structurally stored in various disordered formats, which hinders knowledge sharing and reuse. This study develops a domain ontolo...

Computer vision is transforming processes associated with the engineering and management of construction projects. It can enable the acquisition, processing, analysis of digital images, and the extraction of high-dimensional data from the real world to produce information to improve managerial decision-making. To acquire an understanding of the dev...

The current physical pre-assembly method of large steel structures is time consuming and costly and requires large sites. Thus, the pre-assembly of large steel structures in a virtual way, starting from building information modeling (BIM), is an interesting alternative to the physical one. In this study, an innovative method for virtual pre-assembl...

Purpose: Construction workers’ reactions to safety-related issues during operation vary from person to person due to their different occupational levels, which can be attributed to various influencing factors and their correspondingly complicated interactions. This research aims to propose an integrated framework to combine the concepts of these fa...

There is a wide range of literature on adopting ontology to solve construction problems, but no review of existing studies has systematically analyzed and visualized the trends in ontology research. This study reviews ontology research mainly published in the Scopus database from 2007 to 2017 with the combination of scientometric analysis and criti...

In this paper, we address the following research question: How can psychological safety be used to address the tensions that reside with quality and safety in projects and simultaneously lessen the manifestation of errors? To address this question, we use a vignette to examine the actions before, during and after a major quality event that resulted...

Despite the rapid development of Chinese construction industry, there has been little research effort directed towards exploring patent cooperative patterns and evolution trends of construction enterprises, especially from the perspective of the patent development network. This paper extracts implicit collaborative information and introduces Social...

The rapid development of the construction industry in China has introduced unprecedented quality-related problems in the country’s building industry. In response to this issue, the government has established various complaint channels to report quality problems. Therefore, building quality complaints (BQCs) need to be classified and solved by respe...