Related Experiment Video
Updated: Nov 1, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Quantitative Analysis of Safety Risks and Relationship with Delayed Project Completion Times
Maryam Alkaissy1, Mehrdad Arashpour1, Heng Li2
1Department of Civil Engineering, Monash University, Melbourne, VIC, 3800, Australia.
This study quantifies the temporal impacts of safety risks in construction, developing a nondeterministic model to link safety incidents with project delays. Findings enable better risk management and proactive time buffer planning.
Area of Science:
- Construction Management
- Risk Analysis
- Civil Engineering
Background:
- Construction and civil infrastructure projects face persistent safety risks.
- Existing research lacks quantitative methods to measure the time impact of safety incidents.
- Accurate modeling of delays from safety risks is crucial for project contingency and risk management.
Purpose of the Study:
- To develop and apply a nondeterministic modeling method for quantifying the temporal impacts of safety risks.
- To establish correlations between safety incidents and project delays.
- To rank safety risks by their significance on project completion times.
Main Methods:
- A deductive approach was used with Australian data from 2016 onwards.
- Nondeterministic modeling was employed to simulate and quantify safety incidents.
- Quantitative analysis measured the impact of safety risks on project completion times.
Main Results:
- The study numerically measured the quantitative impacts of safety risks on project completion times.
- Safety risks were ranked according to their temporal impact significance.
- A novel nondeterministic method was developed for modeling safety risk impacts.
Conclusions:
- The developed nondeterministic method effectively models the temporal impacts of safety risks.
- Findings contribute to safety management theory and practice in construction and civil infrastructure.
- Results can inform machine learning applications for planning project time buffers against safety risks.
More Related Videos
05:47In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
11:41Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
Published on: February 1, 2020
Related Concept Videos
Hazard Rate
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Assumptions of Survival Analysis
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Design Consideration
The factor of safety is another key...
Comparing the Survival Analysis of Two or More Groups