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Related Experiment Video

Updated: May 21, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Error begat error: design error analysis and prevention in social infrastructure projects.

Peter E D Love¹, Robert Lopez, David J Edwards

¹School of Built Environment, Curtin University, GPO Box U1987, Perth, WA 6845, Australia. p.love@curtin.edu.au

Accident; Analysis and Prevention

|June 6, 2012

Summary

This summary is machine-generated.

Design errors in social infrastructure projects are common, leading to increased costs and safety risks. This study proposes a systemic model and learning framework to prevent these errors, improving project safety and performance.

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Last Updated: May 21, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Area of Science:

Construction Management
Engineering Safety
Infrastructure Development

Background:

Design errors are a persistent issue in social infrastructure projects, causing significant cost overruns and schedule delays.
These errors can lead to severe engineering failures, with potential consequences including accidents and loss of life.
Existing research on error causation in construction has not fully eradicated the prevalence of design errors.

Purpose of the Study:

To identify the root causes and underlying conditions contributing to design errors in social infrastructure projects.
To develop a systemic model of error causation specific to this sector.
To create a learning framework for effective design error prevention.

Main Methods:

Systemic analysis of error causation in social infrastructure projects.
Development of a conceptual model to explain error propagation.
Framework design for learning and prevention strategies.

Main Results:

Identification of key underlying conditions that foster design errors in social infrastructure.
Establishment of a systemic model linking error causes to project outcomes.
Proposal of a learning framework to guide error prevention.

Conclusions:

A multifaceted approach integrating various strategies is essential for design error prevention.
Implementing the proposed learning framework can ameliorate safety and enhance project performance.
Addressing underlying conditions is crucial for mitigating design errors in social infrastructure.