## 6 Conclusions and Future Research  
The Airport Pavement Integrated Risk Management (APIRM) model can assess risks associated with airport pavement hazards by integrating various evaluation criteria. Demonstrating statistical significance (\(p<0.05\)), the model confirms its reliability for pavement condition assessments and facilitates the development of tailored maintenance and repair plans based on identified risks. \begin{table}
\begin{tabular}{c|c|c|c|c}  & **FAA Paser** & **Friction** & **IRI** & **Risk Runway** \\
**FAA Paser** & 1 & 0 & 0 & \(-0.63\) \\
**Friction** & 0 & 1 & 0 & \(-0.34\) \\
**IRI** & 0 & 0 & 1 & \(-0.03\) \\
**Risk Tawiway** & \(-0.63\) & \(-0.34\) & \(-0.03\) & 1 \\  & & & & \\ \end{tabular}
\end{table} 
Table 8: Pearson correlation coefficients of variables used in runway pavements. \begin{table}
\begin{tabular}{c|c|c|c|c}  & **FAA Paser** & **Friction** & **IRI** & **Risk Tawiway** \\
**FAA Paser** & 1 & 0 & 0 & \(-0.63\) \\
**Friction** & 0 & 1 & 0 & \(-0.34\) \\
**IRI** & 0 & 0 & 1 & \(-0.03\) \\
**Risk Tawiway** & \(-0.63\) & \(-0.34\) & \(-0.03\) & 1 \\  & & & & \\ \end{tabular}
\end{table} 
Table 9: Pearson correlation coefficients of variables used in taxiway pavements. The application of the APIRM model at Istanbul Airport provides valuable insights into the condition of flexible pavements and highlights critical safety risks. The model identifies surface deterioration and friction levels as the main factors influencing risk scores, particularly for high-speed runway operations. While roughness has a lesser impact on risk score changes, unless it exceeds a certain threshold, it remains an important variable to monitor in order to prevent long-term degradation. The results emphasize the importance of the regular maintenance and monitoring of pavement conditions, focusing on surface quality and friction to ensure operational safety and continuity. The APIRM model could be a valuable tool for directly assessing specific pavement hazards such as cracks, joint damage, and water accumulations. Additionally, it may be used as a pavement management system (PMS) for airports that lack an existing airport pavement management system (APMS). This flexibility allows for improved decision-making regarding pavement hazards, even when uncertainties are involved. To enhance the accuracy and applicability of the risk level classification presented in Table 6, it is recommended to incorporate adjustments based on specific airport operational characteristics, such as traffic density, weather conditions, and operational complexity. These factors significantly influence risk levels and should be considered to provide a more tailored and realistic assessment. Additionally, defining emergency maintenance timeframes for airports under \"very high-risk\" scenarios would ensure timely responses to critical infrastructure issues, reducing potential vulnerabilities. By incorporating these adjustments, airports can better align their risk management strategies with actual operational conditions, ensuring a more resilient and effective approach to safety and maintenance. Looking ahead, future research aims to enhance the accuracy of the model by incorporating more field data from a variety of airports, allowing for a deeper understanding of pavement hazards. The model will also be tested for applicability in different scenarios, such as varying climates, traffic volumes, and pavement materials. It is recommended to further explore its adaptability by analyzing potential limitations and conditions that may require adjustments in diverse operational settings. Additionally, the model will be used to prioritize maintenance and repair activities, considering cost factors, and improve its practical application in real-world airport operations. It is also expected to address challenges in complex pavement management planning at Istanbul Airport, which, upon completion, will feature nine runways, including three auxiliary runways. Conceptualization, E.S. and M.S.Y. ; methodology and supervision, E.S. and M.S.Y.