Zhang, Zhenyu; Lin, Ken-yu; Lin, Jia-hua. (2022). 2safe: A Health Belief Model-integrated Framework For Participatory Ergonomics. Theoretical Issues In Ergonomics Science, 1 – 18.
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Abstract
Abstract Initiating ergonomics interventions in a business environment requires changes in the behaviour of relevant actors. When participating in an intervention, researchers need to collect and share information with practitioners to help them make better behaviour-related decisions. This paper describes the five-step 2SAFE (Surveillance, Screening, Assessment, Framing, and Evaluation) planning framework, which can be used to guide research-practice collaboration in participatory ergonomics programmes. This framework combines the understanding of work-related musculoskeletal disorders with the principles of the health belief model. This theoretical synthesis empowers the framework to address the following critical challenges: (1) how to make data collection processes attuned to the nature of ergonomic injuries; and (2) how to transform the data collected into immediately usable information for practitioners to change their behaviours. The framework is interdisciplinary and can facilitate transfer of knowledge between ergonomics and health behaviour science. The framework can enhance the ability of researchers to collaborate with practitioners and bring participatory ergonomics programmes closer to success. In the long term, we hope that this framework can lead to more high-quality interventions that are able to prevent work-related musculoskeletal disorders in various industrial settings. [ABSTRACT FROM AUTHOR]; Copyright of Theoretical Issues in Ergonomics Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Keywords
Health Belief Model; Intervention Programme; Participatory Ergonomics; Planning Framework; Work-related Musculoskeletal Disorders
Hsieh, Shang-hsien; Lin, Hsien-tang; Chi, Nai-wen; Chou, Kuang-wu; Lin, Ken-yu. (2011). Enabling The Development Of Base Domain Ontology Through Extraction Of Knowledge From Engineering Domain Handbooks. Advanced Engineering Informatics, 25(2), 288 – 296.
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Abstract
Domain ontology, encompassing both concepts and instances, along with their relations and properties, is a new medium for the storage and propagation of domain specific knowledge. A significant problem remains the effort which must be expended during ontology construction. This involves collecting the domain-related vocabularies, developing the domain concept hierarchy, and defining the properties of each concept and the relationships between concepts. Recently several engineering handbooks have described detailed domain knowledge by organizing the knowledge into categories, sections, and chapters with indices in the appendix. This paper proposes the extraction of concepts, instances, and relationships from a handbook of a specific domain to quickly construct base domain ontology as a good starting point for expediting the development process of more comprehensive domain ontology. The extracted information can also be reorganized and converted into web ontology language format to represent the base domain ontology. The generation of a base domain ontology from an Earthquake Engineering Handbook is used to illustrate the proposed approach. In addition, quality evaluation of the extracted base ontology is performed and discussed. (C) 2010 Elsevier Ltd. All rights reserved.
Keywords
Ontology; Earthquake Engineering; World Wide Web; Theory Of Knowledge; Vocabulary; Programming Languages; Domain Handbook; Domain Ontology; Owl; Web Ontology Language; Knowledge Representation Languages; Ontologies (artificial Intelligence); Base Domain Ontology; Knowledge Extraction; Engineering Domain Handbooks; Domain Specific Knowledge Storage; Domain Specific Knowledge Propagation; Domain-related Vocabularies; Domain Concept Hierarchy; Development Process; Web Ontology Language Format; Earthquake Engineering Handbook; Semantic Web; Management; Design
Zuidema, Christopher; Austin, Elena; Cohen, Martin A.; Kasner, Edward; Liu, Lilian; Isaksen, Tania Busch; Lin, Ken-Yu; Spector, June; Seto, Edmund. (2022). Potential Impacts Of Washington State’s Wildfire Worker Protection Rule On Construction Workers. Annals Of Work Exposures & Health, 66(4), 419 – 432.
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Abstract
Driven by climate change, wildfires are increasing in frequency, duration, and intensity across the Western United States. Outdoor workers are being exposed to increasing wildfire-related particulate matter and smoke. Recognizing this emerging risk, Washington adopted an emergency rule and is presently engaged in creating a permanent rule to protect outdoor workers from wildfire smoke exposure. While there are growing bodies of literature on the exposure to and health effects of wildfire smoke in the general public and wildland firefighters, there is a gap in knowledge about wildfire smoke exposure among outdoor workers generally and construction workers specifically-a large category of outdoor workers in Washington totaling 200,000 people. Several data sources were linked in this study-including state-collected employment data and national ambient air quality data-to gain insight into the risk of PM2.5 exposure among construction workers and evaluate the impacts of different air quality thresholds that would have triggered a new Washington emergency wildfire smoke rule aimed at protecting workers from high PM2.5 exposure. Results indicate the number of poor air quality days has increased in August and September in recent years. Over the last decade, these months with the greatest potential for particulate matter exposure coincided with an annual peak in construction employment that was typically 9.4-42.7% larger across Washington counties (one county was 75.8%). Lastly, the 'encouraged' threshold of the Washington emergency rule (20.5 mu g m(-3)) would have resulted in 5.5 times more days subject to the wildfire rule on average across all Washington counties compared to its 'required' threshold (55.5 mu g m(-3)), and in 2020, the rule could have created demand for 1.35 million N-95 filtering facepiece respirators among construction workers. These results have important implications for both employers and policy makers as rules are developed. The potential policy implications of wildfire smoke exposure, exposure control strategies, and data gaps that would improve understanding of construction worker exposure to wildfire smoke are also discussed.
Keywords
Particulate Matter; Industrial Safety; Occupational Exposure; Rules; Smoke; Construction Industry; Employment; Occupational Hazards; Descriptive Statistics; Industrial Hygiene; Wildfires; N95 Respirators; Washington (state); Forest Fires; Pm 2.5; Respirator; Wildfire Smoke Protection Rule; Wildland Fire; Pm2 5; Health Impacts; Climate-change; Forest-fire; Exposure; Firefighters; Infiltration
Lin, K. Y.; Levan, A.; Dossick, C. S. (2012). Teaching Life-Cycle Thinking in Construction Materials and Methods: Evaluation of and Deployment Strategies for Life-Cycle Assessment in Construction Engineering and Management Education. Journal Of Professional Issues In Engineering Education And Practice, 138(3), 163 – 170.
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Keywords
Sustainability; Design
Chi, Nai-wen; Lin, Ken-yu; Hsieh, Shang-hsien. (2014). Using Ontology-based Text Classification To Assist Job Hazard Analysis. Advanced Engineering Informatics, 28(4), 381 – 394.
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Abstract
The dangers of the construction industry due to the risk of fatal hazards, such as falling from extreme heights, being struck by heavy equipment or materials, and the possibility of electrocution, are well known. The concept of Job Hazard Analysis is commonly used to mitigate and control these occupational hazards. This technique analyzes the major tasks in a construction activity, identifies all potential task-related hazards, and suggests safe approaches to reduce or avoid each of these hazards. In this paper, the authors explore the possibility of leveraging existing construction safety resources to assist JHA, aiming to reduce the level of human effort required. Specifically, the authors apply ontology-based text classification (TC) to match safe approaches identified in existing resources with unsafe scenarios. These safe approaches can serve as initial references and enrich the solution space when performing JHA. Various document modification strategies are applied to existing resources in order to achieve superior TC effectiveness. The end result of this research is a construction safety domain ontology and its underlying knowledge base. A user scenario is also discussed to demonstrate how the ontology supports JHA in practice. (C) 2014 Elsevier Ltd. All rights reserved.
Keywords
Construction Industry; Health Hazards; Human Factors; Occupational Safety; Ontologies (artificial Intelligence); Pattern Classification; Text Analysis; Ontology-based Text Classification; Job Hazard Analysis; Fatal Hazards; Task-related Hazard; Construction Safety Resource; Jha; Construction Safety Domain Ontology; Construction; Information; Construction Safety; Information Retrieval; Knowledge Management; Ontology; Text Classification
Dzeng, Ren-jye; Lin, Ken-yu; Wang, Pei-ru. (2014). Building A Construction Procurement Negotiation Training Game Model: Learning Experiences And Outcomes. British Journal Of Educational Technology, 45(6), 1115 – 1135.
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Abstract
Game-based education is a promising method for encouraging student learning. Although learning construction procurement and negotiation require hands-on practice, in most construction management courses at the college level, this subject is taught by using lectures and case studies. In this study, a construction procurement and negotiation game was developed, and paper-based and web-based versions were implemented. The game enables students to play the role of contractors or suppliers and generate profits by negotiating and procuring or selling reinforcing steel in a simulated market with a probabilistic nature. The experimental results indicate that playing both versions of the game increased student learning motivation, satisfaction and outcomes. Students awarded the web-based game higher assessment scores than they did for the paper-based game. Students playing either version of the game also achieved higher test scores than students who were taught using the traditional approach did. However, for students with work experience, playing the paper-based game resulted in higher scores than the web-based game scores.
Keywords
Educational Games; Simulation Games In Education; Simulation Methods In Education; Game Theory; Academic Motivation; Learning; Contractors; Construction Industry Personnel; Education; Construction Procurement Negotiation Training Game Model; Learning Experiences; Game-based Education; Construction Procurement Learning; Negotiation Learning; Hands-on Practice; Construction Management Courses; Negotiation Game; Paper-based Version; Probabilistic Nature; Student Learning Motivation; Web-based Game; Higher Assessment Scores; Civil Engineering Computing; Computer Based Training; Computer Games; Construction; Educational Courses; Probability; Procurement; Instructional Simulation Game; Motivation; Impact; Achievement; Performance; Skills
Gatti, Umberto C.; El-anwar, Omar; Migliaccio, Giovanni C.; Lin, Ken-yu; Medina, Yvonne. (2014). Quantifying The Impacts Of Failures Of Departments Of Transportation Building Systems On Road System Users. Transportation Research Record, 2440, 85 – 93.
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Abstract
Because of the financial crisis of 2007 to 2008 and the subsequent economic downturn, funding for transportation agencies has been consistently reduced. This lack of funds prevents the building assets of transportation agencies from being efficiently maintained, so failures may occur that discontinue employees' operations and activities and affect transportation system users. Thus, to maximize the use of available funding, it is compelling to create innovative tools and techniques capable of estimating how potential failures can affect employees' activities and, eventually, transportation system users. Facility managers and decision makers could use such estimates to make decisions on maintenance of building assets that would minimize the risks of disruptions to employees and transportation system users. Among the capital assets of the Washington State Department of Transportation (DOT), transportation equipment fund (TEF) shops are crucial in ensuring timely and effective care and maintenance of the majority of state vehicles and equipment Therefore, any disruption of the operations of TEF shop facilities could significantly affect not only the Washington State DOT's vehicles and equipment maintenance but also the department's ability to fulfill its core mission. Given the importance of TEF shops, this exploratory case study investigates the failures that have occurred or are likely to occur in these facilities and employs discrete-event simulation to quantify the consequences of such failures on the shop activities and road users.
Keywords
Simulation
Lin, Ken-yu; Tsai, Meng-han; Gatti, Umberto C.; Lin, Jacob Je-chian; Lee, Cheng-hao; Kang, Shih-chung. (2014). A User-centered Information And Communication Technology (ict) Tool To Improve Safety Inspections. Automation In Construction, 48, 53 – 63.
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Abstract
Occupational safety is imperative in construction, and safety inspection is among the most common practices that help enforce job safety on site. The safety inspection process, however, suffers from several drawbacks that hinder the efficiency, effectiveness, and analytical learning capacity of the process. Dedicated tools for user-centered information and communications technology could significantly reduce such drawbacks. This paper discusses the use of an original two-step user-centered design approach to develop and evaluate an iPad application that aims to address such drawbacks and improve the day-to-day practices and management of safety inspections. Evaluation results indicate the usefulness and practicality of the application and identify innovative uses not previously envisioned. Furthermore, the developed tool allows consistent data collection that can eventually be used to aid the development of advanced safety and health data analysis techniques. (C) 2014 Elsevier B.V. All rights reserved.
Keywords
Information & Communication Technologies; Industrial Safety; Data Analysis; Technological Innovations; Ipads; Construction Safety; Field Data Collection; Field Inspection; Information And Communication Technology; Research To Practice; Safety Audit; Safety Inspection; Safety Technology; Site Inspection; User-centered Design; User-centered Information And Communication Technology Tool; Safety Inspection Process; Occupational Safety; Job Safety; Analytical Learning Capacity; Communications Technology; Two-step User-centered Design Approach; Ipad Application; Innovative Uses; Consistent Data Collection; Construction; Advanced Safety-health Data Analysis Techniques; Construction Industry; Information Technology; Inspection; Occupational Health; User Centred Design; Construction Site Safety; Management-system; Design; Productivity
Shang-hsien Hsieh; Ken-yu Lin; Nai-wen Chi; Hsien-tang Lin. (2015). Domain Knowledge-Based Information Retrieval for Engineering Technical Documents. Ontology In The AEC Industry. A Decade Of Research And Development In Architecture, Engineering And Construction, chapter 1.
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Abstract
Technical documents with complicated structures are often produced in architecture/engineering/construction (AEC) projects and research. Information retrieval (IR) techniques provide a possible solution for managing the ever-growing volume and contexts of the knowledge embedded in these technical documents. However, applying a general-purpose search engine to a domain-specific technical document collection often produces unsatisfactory results. To address this problem, we research the development of a novel IR system based on passage retrieval techniques. The system employs domain knowledge to assist passage partitioning and supports an interactive concept-based expanded IR for technical documents in an engineering field. The engineering domain selected in this case is earthquake engineering, although the technologies developed and employed by the system should be generally applicable to many other engineering domains that use technical documents with similar characteristics. We carry out the research in a three-step process. In the first step, since the final output of this research is an IR system, as a prerequisite, we created a reference collection which includes 111 earthquake engineering technical documents from Taiwan's National Center for Research on Earthquake Engineering. With this collection, the effectiveness of the IR system can be further evaluated onceit is developed. In the second step, the research focuses on creating a base domain ontology using an earthquake-engineering handbook to represent the domain knowledge and to support the target IR system with the knowledge. In step three, the research focuses on the semantic querying and retrieval mechanisms and develops the OntoPassage approach to help with the mechanisms. The OntoPassage approach partitions a document into smaller passages, each with around 300 terms, according to the main concepts in the document. This approach is then used to implement the target domain knowledge-based IR system that allows users to interact with the system and perform concept-based query expansions. The results show that the proposed domain knowledge-based IR system can achieve not only an effective IR but also inform search engine users with a clear knowledge representation.
Keywords
Architecture; Construction; Engineering; Knowledge Based Systems; Ontologies (artificial Intelligence); Query Processing; Search Engines; Knowledge Representation; Concept-based Query Expansions; Base Domain Ontology; Earthquake Engineering; General-purpose Search Engine; Aec Projects; Architecture/engineering/construction Projects; Complicated Structures; Technical Documents; Domain Knowledge-based Information Retrieval
Chi, Nai-wen; Lin, Ken-yu; El-Gohary, Nora; Hsieh, Shang-hsien. (2016). Evaluating the Strength of Text Classification Categories for Supporting Construction Field Inspection. Automation In Construction, 64, 78 – 88.
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Abstract
Field inspection is a common approach to the prevention of on-site accidents in the construction industry, which aims to identify and correct violations before they result in accidents. While conducting a field inspection, quite often safety professionals need to consult applicable construction safety standards. By doing so, they can make informed judgments on the violations and reference applicable standards. Text classification (TC) can be used to classify safety standards based on the types and causes of violations. Safety professionals can therefore use violation types and causes as indices to quickly locate applicable standards. Defining TC categories (or labels) is the first important step in performing TC, because satisfactory results cannot be achieved without appropriate TC categories. Researchers often determine applicable TC categories based on the important topics within a knowledge domain. However, not all TC categories can yield satisfactory TC results because some of them are not associated with strong and specific keywords that can be identified by text classifiers. This paper proposes a methodology with two strength measures for evaluating the appropriateness of candidate TC categories. The measures were tested on two alternative sets of candidate categories that were drafted for supporting construction field inspections. The results showed that the measures could accurately predict the relative TC performance and the satisfaction levels (satisfactory or unsatisfactory) of TC categories. Beyond the construction domain, this research provides a generalized procedure for evaluating the strength of candidate TC categories. (C) 2016 Elsevier B.V. All rights reserved.
Keywords
Accident Prevention; Classification; Construction Industry; Inspection; Occupational Safety; Standards; Text Classification Categories; Construction Field Inspection; On-site Accident Prevention; Violations; Safety Professionals; Construction Safety Standards; Candidate Tc Categories; Reference Applicable Standards; Information; Model; Construction Safety; Field Inspection; Text Classification