Modeling relation among implementing AI-based drones and sustainable construction project success

IF 2.2 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
Ahsan Waqar, Idris Othman, Nadhim Hamah Sor, Abdullah Mohammed Alshehri, Hamad R. Almujibah, Badr Saad Alotaibi, Mohammed Awad Abuhussain, Abdulrahman S. Bageis, Fadi Althoey, Saleh Hayat, Omrane Benjeddou, Saleh Hamed Alsulamy, Mishal Aljarbou
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引用次数: 0

Abstract

Project failure is a persistent challenge in the construction industry, rendering it one of the most demanding sectors. Many obstacles, including safety concerns, quality management issues, environmental preservation challenges, economic sustainability, privacy constraints, and legal regulations, weigh heavily on construction projects. However, a beacon of hope emerges in AI-powered drones capable of surmounting these challenges and paving the path to resounding project success. This study employed diverse methodologies, engaging subject-matter experts through interviews and conducting pilot and primary surveys. Our analytical arsenal featured Exploratory Factor Analysis (EFA) for the pilot survey and Structural Equation Modelling (SEM) for the primary survey. Our research revolves around a singular mission: elevating building project success by dismantling the barriers that have impeded the widespread adoption of AI-driven drones in construction. The study’s verdict is clear: privacy and legal constraints, coupled with economic and sustainability challenges, alongside human resource management dilemmas, constitute the formidable triumvirate obstructing the ubiquitous embrace of drones in construction. Yet, the impact of breaching these barriers reverberates far beyond overcoming these hurdles. It cascades into public health and safety, environmental conservation, quality management, and economic sustainability, culminating in an amalgam of enhanced Building Project Success. The implications of our findings are profound for the construction industry. They beckon the sector to confront and surmount the legal and regulatory barriers to adopting AI-based drones. A clarion call to invest in human resources to empower technology integration resounds. And, perhaps most importantly, it beckons the industry to embrace the profound economic and sustainability advantages of embracing these cutting-edge technologies. Furthermore, our study underscores that adopting AI-powered drones in construction is not merely about project success; it catalyzes fostering public health, safeguarding the environment, ensuring top-tier quality management, and fortifying economic sustainability. These interwoven facets illuminate the broader canvas of drone technology’s transformative role in construction.
实施人工智能无人机与可持续建设项目成功的建模关系
在建筑行业,项目失败是一个持续的挑战,使其成为最苛刻的行业之一。许多障碍,包括安全问题、质量管理问题、环境保护挑战、经济可持续性、隐私限制和法律法规,都严重影响着建设项目。然而,人工智能驱动的无人机出现了希望的灯塔,能够克服这些挑战,为项目的巨大成功铺平道路。这项研究采用了多种方法,通过访谈和进行试点和初步调查,吸引了主题专家。我们的分析工具包括探索性因子分析(EFA)用于试点调查和结构方程建模(SEM)用于初级调查。我们的研究围绕着一个单一的使命:通过消除阻碍人工智能无人机在建筑中广泛应用的障碍,提高建筑项目的成功率。这项研究的结论很明确:隐私和法律约束,加上经济和可持续性挑战,再加上人力资源管理困境,构成了阻碍无人机在建筑业无处不在的三大因素。然而,打破这些障碍所产生的影响远远超出了克服这些障碍的范围。它涉及公共卫生和安全、环境保护、质量管理和经济可持续性,最终促进了建筑项目的成功。我们的发现对建筑行业的影响是深远的。他们呼吁该行业面对并克服采用基于人工智能的无人机的法律和监管障碍。投资人力资源以增强技术整合能力的号角响起。而且,也许最重要的是,它召唤着行业接受这些尖端技术带来的深刻的经济和可持续性优势。此外,我们的研究强调,在建筑中采用人工智能无人机不仅与项目成功有关;它有助于促进公共卫生、保护环境、确保一流的质量管理和加强经济可持续性。这些相互交织的方面照亮了无人机技术在建筑中的变革作用的更广阔的画布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Built Environment
Frontiers in Built Environment Social Sciences-Urban Studies
CiteScore
4.80
自引率
6.70%
发文量
266
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