Comprehensive analysis of digital technology applications in construction site management

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Abstract

This study examines the transformative impact of digital technologies on construction site management in the Russian Federation. Using a multi-method research approach incorporating content analysis, comparative assessment, systems analysis, and SWOT evaluation, the research investigates how Building Information Modeling (BIM), Internet of Things (IoT) architecture, cloud computing, and artificial intelligence applications reconfigure traditional construction processes. Findings demonstrate that smart construction sites implement informatization across four critical dimensions: personnel management, machinery administration, material resource coordination, and construction target optimization. Comparative analysis reveals significant advantages of technology-enhanced approaches over conventional methods, particularly in multi-location collaborative workflows, simulation modeling, construction process visualization, and remote monitoring capabilities. The SWOT analysis identifies initial capital investment requirements, specialized workforce development, and systems integration complexities as primary implementation challenges. The research concludes that smart construction sites represent an evolutionary progression in the construction industry, with implementation effectiveness directly correlating to organizational digital maturity, ultimately establishing unprecedented levels of construction production efficiency and operational safety.

About the authors

A. A Lapidus

Moscow State University of Civil Engineering National Research University

Email: Lapidusaa@mgsu.ru
ORCID iD: 0000-0001-7846-5770

D. V Topchiy

Moscow State University of Civil Engineering National Research University

Email: TopchiyDV@mgsu.ru
ORCID iD: 0000-0002-3697-9201

A. V Baulin

Moscow State University of Civil Engineering National Research University

Email: baulin62@list.ru
ORCID iD: 0000-0003-2874-6704

J. Yan

Kashi University

Email: 790574726@qq.com
ORCID iD: 0000-0001-7906-598X

B. Zhou

Moscow State University of Civil Engineering National Research University

Email: 1040135062zbj@gmail.com
ORCID iD: 0009-0005-7321-9294

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