Zaid Alwashah

Mr. Zaid Alwashah

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 May 2025 in Buildings
Verified
Journal Article
Open access
PDF file
HOHosam Olimat
Hosam Olimat
ZAZaid Alwashah
Zaid Alwashah
Osama AbudayyehOsama Abudayyeh
Osama Abudayyeh
Hexu LiuHexu Liu
Hexu Liu
Construction remains one of the most hazardous industries, consistently reporting high rates of workplace injuries and fatalities. Despite advancements in safety regulations and technologies, significant risks persist due to hazardous tasks, including working at heights, operating heavy machinery, and exposure to harmful materials. The establishment of the Occupational Safety and Health Administration in 1971 marked a significant turning point in construction safety, resulting in a decline in workplace fatalities. However, evolving construction methodologies and digital transformations demand continuous research to enhance worker protection and mitigate emerging risks. This study conducts a longitudinal bibliometric analysis to examine the evolution of construction safety research from 1972 to 2025. Using a dataset of 14,174 journal publications from Scopus, the analysis identifies key research trends, technological advancements, and regulatory shifts that have shaped the field. Findings reveal a transition from basic safety regulations to AI-driven hazard detection, digital twins, and IoT-enabled safety monitoring. The study also identifies key contributors, including prominent countries. By tracing both historical and contemporary research trends, this study offers insights into knowledge gaps and provides guidance on future directions. The findings provide valuable insights for researchers, policymakers, and industry professionals, supporting the development of research-informed safety strategies and the integration of emerging technologies in an increasingly complex industry.

29 April 2025 in Engineering, Construction and Architectural Management
Verified
Journal Article
Closed access
ZAZaid Alwashah
Zaid Alwashah
GSGhaleb Jalil Sweis
Ghaleb Jalil Sweis
HHHusam Abu Hajar
Husam Abu Hajar
WAWaleed Abu-Khader
Waleed Abu-Khader
RSRateb Sweis
Rateb Sweis
Purpose: This research endeavors to assess the extent of awareness concerning Construction 4.0 technologies and ascertain the willingness to adopt these technologies within the construction industry in Jordan. Design/methodology/approach: The quantitative method was adopted by reviewing relevant literature to compile a list of Industry 4.0 techniques and their application in the construction industry. A questionnaire was distributed to respondents from various institutions and companies in Jordan to achieve the desired study objectives. The questionnaire was analyzed with SPSS using statistical tests such as mean score, relative importance index and the Wallis H test. Findings: After collecting the quantitative data, the results showed that the majority of respondents have low awareness of Construction 4.0 technologies and greater awareness of some technologies like social media, Building information modeling (BIM) and the Internet of Things. In addition, the study showed a high willingness among the Jordanian respondents to adopt new technologies such as BIM, simulation tools and models, 3D printing and drones. Originality/value: This study presents insights and data regarding the current state of knowledge and advancements in Jordan related to Construction 4.0 concepts and techniques. Additionally, it explores the industry’s willingness to adopt these technologies.

19 June 2025 in CIB Conferences
Verified
Journal Article
Open access
PDF file
ZAZaid Alwashah
Zaid Alwashah
HLHexu Liu
Hexu Liu
Bo XiaoBo Xiao
Bo Xiao
SMShane Mueller
Shane Mueller
XSXiaoyun Shao
Xiaoyun Shao
The construction industry is beginning to explore generative artificial intelligence (AI) technologies to address complex data management challenges and inefficiencies within traditional workflows, particularly in design, planning, and project management. Although there is growing interest in generative AI in construction, the understanding of its trends and opportunities remains scattered. This paper investigates the current trends, applications, and research needs for generative AI in construction through a bibliometric analysis of 148 publications from Scopus and Google Scholar. The keyword co-occurrence map highlights several search clusters, with a strong focus on "Building Information Modeling (BIM)," "digital twins," "sustainability," "construction safety," "structural and architectural design," "education," and "project management." Generative AI technologies like Generative Adversarial Networks (GANs), large language models (LLMs), Generative Pre-trained Transformer (GPT), and diffusion models play critical roles in this research area. By pinpointing key research gaps, it underscores avenues for future investigation and empowers researchers to expand and refine the latest advancements in this dynamic field, propelling progress toward a more efficient, resilient, and sustainable built environment.

1 June 2026 in Journal of Construction Engineering and Management
Verified
Journal Article
Closed access
PDF file
HOHosam Olimat
Hosam Olimat
OAOsama Abudayyeh
Osama Abudayyeh
Hexu LiuHexu Liu
Hexu Liu
ZAZaid Alwashah
Zaid Alwashah
Off-site construction, a growing alternative to traditional building methods, offers advantages such as reduced environmental impact, improved productivity, and cost efficiency. However, of...

1 May 2026 in Journal of Management in Engineering
Verified
Journal Article
Closed access
ZAZaid Alwashah
Zaid Alwashah
Hexu LiuHexu Liu
Hexu Liu
Osama AbudayyehOsama Abudayyeh
Osama Abudayyeh
VKValerian Kwigizile
Valerian Kwigizile
KKKristi Kirkpatrick
Kristi Kirkpatrick
HOHosam Olimat
Hosam Olimat

25 May 2025
Verified
Book Chapter
Closed access
PDF file
SMShane Mueller
Shane Mueller
KCKatrina Carlson
Katrina Carlson
YWYifan Wang
Yifan Wang
XHXiaoyu Hou
Xiaoyu Hou
ZAZaid Alwashah
Zaid Alwashah
Bo XiaoBo Xiao
Bo Xiao