## 4 Discussion
_Impact analysis:_ measures the degree of deviation from the desired results brought upon by the consequences of the unwanted event. 8. _Determining the level of risk:_ based on the criteria that are entered according to the risk matrix, where the degrees and levels of risks are defined, the system classifies the risks using the bidimensional scale and previous history (see Table 1B below for a proposed adjusted matrix that uses the DTCP concept as it was expanded in this paper, to incorporate the features of digital twins and eliminate redundant or excess work while facilitating improved anomaly treatment). 9. _Risk assessment:_ the system, based on the ratings and levels defined above, evaluates the risks as Extreme, High, Medium, Low and Very low, and determines guidelines for intervention. 10. _Risk mitigation and intervention:_ The DTCP is operated in the detection and examination of anomalies, and then the risks are characterized and evaluated based on the degrees and levels proposed. If there is no risk, the process can be accomplished as is, but if the risk requires intervention, then security, safety and operational measures are taken to mitigate it and the process is entered into the system again to conduct rechecking. Based on our previous experience in the AEC sector, we recommend mitigation to follow the guidelines comprised in Table 1 (B), by addressing the probability of the hazard to materialize as the impact is usually difficult to reduce. The goal is to use the DTCP to reduce occurrences in such a way that the overall risk assessment falls mostly in the area of low and very low risks. The means to accomplish these reductions depend on the structure, context and contents of each construction project. Through the analysis conducted above, our study discussed a set of articles and contributions that can be employed to make the use of the digital twins in managing construction risks more concrete, completing the impact of our proposed DTCP approach. The physical system is chronically deficient in the AEC industry and, most of the time, this is attributed to a lack of awareness and information. Risk management using digital twins can help decision makers take actions to achieve the project's goals concerning time and resource costs, the biggest threats in the field. As such, our work recommends that researchers and practitioners pay attention to the possibilities of development and improvement around the use of digital twins in risk management in construction projects \begin{table}
\begin{tabular}{c c c c c c} \hline
**Variant—A** & \multicolumn{4}{c}{**Impact**} \\ \hline
**Probability** & **Extreme** & **High** & **Medium** & **Low** & **Very low** \\ \hline
**Extreme** & **Latreme** & **Extreme** & **High** & **Medium** & **Medium** \\ \hline
**Risk assess.** & **Extreme** & **High** & **Medium** & **Low** & **Very low** \\ \hline \end{tabular}
\end{table} 
Table 1: Original risk assessment (**A**) and recommended improvements (**B**). Figure 3: Risk management flowchart using DTCP to handle anomalies. by reducing the frequency of their occurrence to within acceptable limits, according to a predetermined intervention scheme. The digital twins help protect workers and secure occupational safety from the potential failures that may occur during the implementation of project activities [36]. In this context, the study also recommends to approach construction risk management with a focus on the personnel involved in the activities, thus requiring more upfront investment in atypical sensors and devices than a manufacturing counterpart (e.g., cameras, thermal vision, sound meters, pollutant detectors, etc.). The option of using the digital twin for risk management is one of the expected transformations in the field of AEC industries as it can address various problems in construction projects, including occupational safety for workers, engineering plans implementation, time management, cost management and other logistical, administrative and technical issues.