Review Article
Construction Industry: Current Trends, Potential Impacts, and Future a Comprehensive Review of Artificial Intelligence Applications in the Directions
Adeola Sarah Ajayi*
Issue:
Volume 11, Issue 2, June 2025
Pages:
48-57
Received:
13 March 2025
Accepted:
26 March 2025
Published:
17 April 2025
Abstract: The construction industry plays a crucial role in global economic development but continues to struggle with persistent challenges such as low productivity, limited digital adoption, and resistance to technological advancements. Artificial Intelligence (AI) presents a transformative opportunity to address these inefficiencies by automating tasks, optimizing resource management, and improving project oversight. This paper provides a comprehensive review of AI applications in the construction sector, analyzing current trends, key innovations, and future directions. The study explores AI-driven technologies such as robotics, autonomous machinery, defect detection systems, and predictive analytics, highlighting their impact on efficiency, sustainability, and safety. Robotics and automation streamline labor-intensive tasks, reducing project delays and costs, while AI-powered defect detection enhances quality control through real-time monitoring. Additionally, predictive analytics improve risk assessment and decision-making, enabling more proactive project management. To illustrate AI’s real-world benefits, this paper presents case studies showcasing successful implementations of AI in construction projects. These examples demonstrate how AI has improved workflow efficiency, minimized waste, and enhanced worker safety. However, despite these advantages, widespread adoption remains slow due to challenges such as high implementation costs, workforce adaptation concerns, and ethical considerations. The paper discusses these barriers in detail, emphasizing the importance of strategic investments, industry-wide collaboration, and specialized workforce training to bridge the digital divide. Ultimately, this review underscores the critical role of AI in shaping the future of construction. While AI-driven innovations hold immense potential, their successful integration requires a balanced approach that considers technological, economic, and ethical factors. The paper concludes by advocating for targeted policies, increased research efforts, and structured training programs to ensure a seamless transition into AI-enhanced construction practices.
Abstract: The construction industry plays a crucial role in global economic development but continues to struggle with persistent challenges such as low productivity, limited digital adoption, and resistance to technological advancements. Artificial Intelligence (AI) presents a transformative opportunity to address these inefficiencies by automating tasks, o...
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Research Article
Performance Evaluation of the Pedestrian Safety Facilities in Mattu Town
Solomon Desalegn Alemu*
Issue:
Volume 11, Issue 2, June 2025
Pages:
58-70
Received:
4 January 2025
Accepted:
17 March 2025
Published:
22 April 2025
Abstract: Ethiopia faces a pressing issue of pedestrian safety exacerbated by rapid urbanization and inadequate infrastructure. According to the World Health Organization (WHO), road traffic accidents are a leading cause of death globally, with pedestrians particularly vulnerable. In Ethiopia, over 60% of road traffic fatalities involve pedestrians, emphasizing the urgent need for effective safety measures. The population of Mattu Town is predicted to rise from 28,782 in 2007 to 130,027 in 2023, illustrating the difficulties that many developing-nation metropolitan regions encounter. The town's pedestrian infrastructure is characterized by poorly maintained sidewalks, insufficient signage, and a notable absence of traffic signals. This has resulted in 24 pedestrian fatalities and 51 injuries over the past three years, underscoring the critical need for improved safety measures. The study aims to evaluate the performance of existing pedestrian safety facilities, including sidewalks, crosswalks, signage, and traffic signals, to identify areas for improvement. A mixed methods approach, combining quantitative data analysis from pedestrian accident reports and traffic volume counts with qualitative surveys assessing pedestrian perceptions and behaviors. Statistical analyses were conducted using SPSS for quantitative data and Excel for organizing and visualizing survey results. The research questions focus on the effectiveness of current facilities, factors contributing to pedestrian accidents, and the perceptions of pedestrians regarding safety measures. The general objective is to create a safer pedestrian environment, while specific objectives include assessing the effectiveness of existing facilities and identifying contributing factors to accidents. Results indicate that inadequate infrastructure significantly contributes to pedestrian accidents in Mattu Town. Key findings reveal that areas with poorly marked crosswalks and inadequate lighting correspond with higher accident rates. Additionally, surveys show a lack of awareness among drivers and pedestrians regarding existing safety measures. This study is important because it tackles the pressing need for pedestrian safety in a rapidly urbanizing setting, aiming to enhance the quality of life for residents and inform local policies. By identifying deficiencies in pedestrian infrastructure and proposing targeted interventions, the study seeks to foster a pedestrian-friendly environment that encourages walking as a viable and safe mode of transportation. This research will serve as a valuable resource for urban planners and policymakers, contributing to the evolution of sustainable and livable communities in Ethiopia.
Abstract: Ethiopia faces a pressing issue of pedestrian safety exacerbated by rapid urbanization and inadequate infrastructure. According to the World Health Organization (WHO), road traffic accidents are a leading cause of death globally, with pedestrians particularly vulnerable. In Ethiopia, over 60% of road traffic fatalities involve pedestrians, emphasiz...
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