Application Research of Construction Safety Management in Engineering Risk Assessment

The collaborative mechanism between construction safety management and engineering risk assessment is the key path to achieving precise control of engineering risks. Research has validated through case analysis that the integrated application of BIM, IoT monitoring, and AI early warning technologies can reduce accident rates by 42%, and shorten hazard response times to within 15 minutes. However, data silos and insufficient model compatibility still constrain performance improvements. In line with policy directions such as the new safety officer qualification regulations for Guangzhou’s Housing and Urban-Rural Development Bureau in 2025 and the promotion of socket-type steel pipe scaffolding technology in Jiangsu Province, this paper proposes strategies for building a unified data platform, developing adaptive risk assessment models, and enhancing “human-technology-management” collaborative training. These measures aim to promote the transformation of safety management towards data-driven and comprehensive smart practices, providing theoretical support and practical references for high-quality industry development.

Authors

Institutions

Publication Details

Journal
Journal of World Architecture
Published
2025-09-04
DOI
https://doi.org/10.26689/jwa.v9i4.11821
Primary Topic
Evaluation and Optimization Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application Research of Construction Safety Management in Engineering Risk Assessment

Qiang Li
Journal of World Architecture
Evaluation and Optimization Models
article

Application Research of Construction Safety Management in Engineering Risk Assessment

Qiang Li
article en

Abstract

The collaborative mechanism between construction safety management and engineering risk assessment is the key path to achieving precise control of engineering risks. Research has validated through case analysis that the integrated application of BIM, IoT monitoring, and AI early warning technologies can reduce accident rates by 42%, and shorten hazard response times to within 15 minutes. However, data silos and insufficient model compatibility still constrain performance improvements. In line with policy directions such as the new safety officer qualification regulations for Guangzhou’s Housing and Urban-Rural Development Bureau in 2025 and the promotion of socket-type steel pipe scaffolding technology in Jiangsu Province, this paper proposes strategies for building a unified data platform, developing adaptive risk assessment models, and enhancing “human-technology-management” collaborative training. These measures aim to promote the transformation of safety management towards data-driven and comprehensive smart practices, providing theoretical support and practical references for high-quality industry development.

Journal of World ArchitectureVol. 9(4)
Coolpad (China) (CN)
Openalex Percentile: Top 71%
Evaluation and Optimization Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Application Research of Construction Safety Management in Engineering Risk Assessment — Qiang Li · Journal of World Architecture (2025) | TGRS Research Map | TGRS