Randomized trial reveals associations between workforce characteristics and construction accidents in Indonesia, indicating a need for targeted safety interventions.
Key Points
This study aims to identify patterns in construction accidents related to workforce characteristics, project types, and temporal factors, while assessing safety monitoring capacity.
Analyzed 14,962 accident records from 2014 to 2020;
Applied chi-square tests, time series analysis, and negative binomial regression;
Mapped provincial construction accident rates and conducted one-way and Welch ANOVA comparisons across project types.
Accidents peak in October-December with significant spatial and seasonal distribution;
New projects and industrial buildings have the highest accident risk;
Negative binomial regression shows a significant negative relation between CWN-SE and accidents.