Construction Safety Ontology Development and Alignment with Industry Foundation Classes (IFC)

A pronounced gap often exists between expected and actual safety performance in the construction industry. The multifaceted causes of this performance gap are resulting from the misalignment between design assumptions and actual construction processes that take place on-site. In general, critical factors are rooted in the lack of interoperability around the building and work-environment information due to its heterogeneous nature. To overcome the interoperability challenge in safety management, this paper represents the development of an ontological model consisting of terms and relationships between these terms, creating a conceptual information model for construction safety management and linking that ontology to IfcOWL. The developed ontology, named Safety and Health Exchange (SHE), comprises eight concepts and their relationships required to identify and manage safety risks in the design and planning stages. The main concepts of the developed ontology are identified based on reviewing accident cases from 165 Reporting of Injuries, Diseases and Dangerous Occurrences Regulations (RIDDOR) and 31 Press Releases from the database of the Health and Safety Executive (HSE) in the United Kingdom. Consequently, a semantic mapping between the developed ontology and IfcOWL (the most popular ontology and schema for interoperability in the AEC sector) is proposed. Then several SPARQL queries were developed and implemented to evaluate the semantic consistency of the developed ontology and the cross-mapping. The proposed ontology and cross-mapping gained recognition for its innovation in utilising OpenBIM and won the BuildingSMART professional research award 2020. This work could facilitate developing a knowledge-based system in the BIM environment to assist designers in addressing health and safety issues during the design and planning phases in the construction sector

Design for safety implementation among design professionals in construction: The context of Palestine

Design for safety (DfS), also known as prevention through design, is a prominent means for tackling work-related illnesses and injuries in construction. However, the available DfS studies in construction have paid very limited attention to developing countries. Consequently, there is limited insight into DfS implementation in many developing countries including Palestine. This study therefore investigates DfS implementation among design professionals in the Palestinian construction industry. A questionnaire survey was used to obtain data from design professionals and the data was analysed using inferential statistics (i.e. analysis of variance and t-test) and descriptive statistics. The results revealed that the extent of engagement in DfS practices among the design professionals is very low despite a high awareness and positive attitude towards the concept of DfS. Additionally, while there is a great interest in undertaking DfS training, the designers' participation in training is low. Additionally, awareness of DfS, DfS education and training, professional body affiliation, level of education, years of experience, and size of organisation were found to have limited association with the extent of engagement in DfS practices by the designers. These findings suggest the presence of DfS implementation barriers/challenges, which are undermining the implementation of DfS by the design professionals in Palestine. Collaborative efforts are required by the construction industry stakeholders to improve DfS implementation. Furthermore, the findings mirror the outcomes of similar studies in other developing countries and thus highlight an urgent need for additional studies within developing countries to ascertain the barriers/challenges to DfS implementation in those geographic contexts

Dataset of characterised construction safety risks and related treatments

The Safety Risk Library [1] is a structured database [2] that integrates knowledge drawn from multiple sources to address the problem of information disaggregation in the construction industry. This knowledge base maps construction safety risk scenarios to treatment suggestions that help designers implement the concept of prevention through design. In the context of the Safety Risk Library, risk scenarios are characterised by six data categories based on a formalised ontology [3]. To build the first iteration of the Safety Risk Library, nine different risk scenarios were identified and mapped to relevant risk treatments in focus groups. Subsequently, the Safety Risk Library was pilot tested in six construction projects, and user feedback and input were used to expand the list of risk scenarios and treatment prompts. Additionally, public press releases reporting construction accidents were analysed to identify and characterise risk scenarios, which were then mapped to appropriate treatment suggestions and included in the Safety Risk Library. This dataset can assist construction industry stakeholders in identifying, characterising, communicating and mitigating safety risks in construction projects. It can also be integrated into building information modelling environments to assist designers to implement prevention through design

ChatGPT and Bard Responses to Polarizing Questions

Recent developments in natural language processing have demonstrated the potential of large language models (LLMs) to improve a range of educational and learning outcomes. Of recent chatbots based on LLMs, ChatGPT and Bard have made it clear that artificial intelligence (AI) technology will have significant implications on the way we obtain and search for information. However, these tools sometimes produce text that is convincing, but often incorrect, known as hallucinations. As such, their use can distort scientific facts and spread misinformation. To counter polarizing responses on these tools, it is critical to provide an overview of such responses so stakeholders can determine which topics tend to produce more contentious responses -- key to developing targeted regulatory policy and interventions. In addition, there currently exists no annotated dataset of ChatGPT and Bard responses around possibly polarizing topics, central to the above aims. We address the indicated issues through the following contribution: Focusing on highly polarizing topics in the US, we created and described a dataset of ChatGPT and Bard responses. Broadly, our results indicated a left-leaning bias for both ChatGPT and Bard, with Bard more likely to provide responses around polarizing topics. Bard seemed to have fewer guardrails around controversial topics, and appeared more willing to provide comprehensive, and somewhat human-like responses. Bard may thus be more likely abused by malicious actors. Stakeholders may utilize our findings to mitigate misinformative and/or polarizing responses from LLM

Group-level safety climate in the construction industry: Influence of organizational, group, and individual factors

Group-level safety climate (GSC) is a recognized leading indicator of safety performance in the literature. However, there is limited understanding of the mechanisms through which multilevel (i.e., organizational, group, and individual) factors collectively influence GSC as promoted by general contractors in construction. A model is proposed to examine the interactions and causal relationships between four multilevel factors - organizational-level safety climate (OSC), coworker support (CS), supervisory safety-specific transformational leadership (SSTL), individual psychological capital (PsyCap) - and GSC. A two-wave online survey was conducted within a large contractor company in the US over 2 years. A total of 280 employees completed both surveys. The structural equation modeling analysis technique was adopted to test the hypotheses. The results show that OSC, CS, and supervisory SSTL significantly contribute to GSC. In addition, supervisory SSTL and CS positively affect individual PsyCap, and PsyCap positively moderates the relationship between supervisory SSTL and GSC. The study suggests that construction contractors should consider implementing leadership and PsyCap interventions to cultivate a positive GSC that potentially can lead to improved safety performance