Optimizing safety-measure combinations to address construction risks.

Area of Science:

• Construction Management
• Risk Analysis
• Optimization Techniques

Background:

• Current construction risk response methods are often passive and inefficient for effective management.
• Existing approaches focus on minimizing risks rather than achieving an acceptable level.

Purpose of the Study:

• To develop an active optimization strategy for selecting construction risk responses.
• To provide a method for controlling construction risks to an acceptable level economically.

Main Methods:

• Combined Set Pair Analysis (SPA) with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS).
• Utilized SPA to assess pre- and post-mitigation risk levels under uncertainty.
• Employed TOPSIS to rank safety measures based on their risk-mitigation effectiveness.

Main Results:

• The TOPSIS-SPA method identifies optimal safety measure combinations for risk reduction.
• The approach effectively reduces construction risks to an acceptable level.
• The method determines the most economical combination of measures with minimal implementation.

Conclusions:

• The developed TOPSIS-SPA method offers an efficient and cost-effective approach to construction risk control.
• Decision-makers can utilize this method to formulate practical risk-management schemes.
• The study validates the model's reasonability through a super high-rise building case study.