Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Survey Safety01:28

Survey Safety

425
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
425
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

338
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
338
Hazard Rate01:11

Hazard Rate

457
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
457
Modeling and Similitude01:12

Modeling and Similitude

658
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
658
Design Consideration01:22

Design Consideration

593
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
593
Response Surface Methodology01:16

Response Surface Methodology

686
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
686

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Narrative Review: Sugar and Rice and the Diabetes Epidemic in India-A Historical Context.

Nutrients·2026
Same author

Evolution of Pliocene-Pleistocene tropical terrestrial Andean temperature amplification.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Exploring the importance of environmental justice variables for predicting energy burden in the contiguous United States.

iScience·2025
Same author

Clinical and Biochemical Parameters in Relation to Serum Fetuin-A Levels in Overweight and Obese with and without Metabolic Syndrome in the North-eastern States of Indian Population.

JMA journal·2024
Same author

Serum Tumor Necrosis Factor Alpha (TNF-α) Levels in Obese and Overweight Adults: Correlations With Metabolic Syndrome and Inflammatory Markers.

Cureus·2024
Same author

Formal evaluation of construction safety performance metrics and a case for a balanced approach.

Journal of safety research·2023

Related Experiment Video

Updated: Feb 19, 2026

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

2.0K

Construction Safety Risk Modeling and Simulation.

Antoine J-P Tixier1, Matthew R Hallowell2, Balaji Rajagopalan2

  • 1Computer Science Laboratory, École Polytechnique, Palaiseau, France.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|March 18, 2017
PubMed
Summary

This study introduces a data-driven approach to model construction safety risks, revealing patterns similar to natural phenomena. It offers tools for better decision-making by generating synthetic risk data from injury reports.

Keywords:
Construction safetyrisk modelingstochastic simulation

More Related Videos

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K
A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
11:28

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

13.0K

Related Experiment Videos

Last Updated: Feb 19, 2026

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

2.0K
Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K
A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
11:28

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

13.0K

Area of Science:

  • Construction Safety
  • Risk Analysis
  • Data Science

Background:

  • Current construction safety analysis relies heavily on subjective managerial perspectives.
  • There is a need for quantitative, data-driven methods to understand and predict safety risks.

Purpose of the Study:

  • To develop a novel, data-driven approach for defining, modeling, and simulating construction safety risks.
  • To provide practitioners and academics with automated tools for extracting insights from unstructured injury data.
  • To establish a quantitative framework for construction safety risk analysis.

Main Methods:

  • Utilized a genetic-inspired, attribute-based conceptual framework.
  • Applied fully data-driven techniques to extract attribute-based data from unstructured textual injury reports.
  • Developed univariate and bivariate nonparametric stochastic safety risk generators using kernel density estimators and copulas.

Main Results:

  • Demonstrated that the frequency-magnitude distribution of construction safety risk mirrors natural phenomena like earthquakes and precipitation.
  • Generated synthetic safety risk values that are faithful to the original data.
  • Identified attributes related to high energy levels and human error as significant risk shapers.

Conclusions:

  • Construction safety can benefit from quantitative study using empirical data, similar to natural phenomena.
  • The proposed stochastic generators facilitate data-driven decision-making under uncertainty in construction safety.
  • Attribute-based data analysis offers valuable empirical insights into construction safety risks.