## 8 Conclusions  
It is feasible to incorporate decision-making capability in predicting the efficiency of the evacuation of passengers on metro platforms. It provides some valuable insights into the field of evacuation prediction. This research revealed the relationship between decision-making capability and evacuation behaviours. In addition to analysing each behavioural strategy in terms of its representation of decision-making capability, this research combines this relationship with an epidemiological model to construct a predictive model of evacuation efficiency to simplify the assessment of evacuation efficiency. This allows the assessment of evacuation efficiency in advance by a simple input of the score of decision-making capability and the probability of occurrence of the behavioural strategy. Thus, the presentation of this conceptual framework bridges an interdisciplinary knowledge gap in this field and this model also provides a model with scalable predictions of evacuation efficiency, which provides a new idea for subsequent research. Overall, this study is useful in the field of evacuation prediction. It has inspired several directions for future research, including the inclusion of factors for people with reduced mobility, and the nature of emergencies to make the model for evacuation efficiency assessment more comprehensive and useful. It also develops evacuation efficiency prediction models to cover other application areas, such as the evolution of business operating processes, transportation and structural optimisation. However, there are certain shortcomings in this study. However, there are certain shortcomings in this study, as actual disaster data are difficult to obtain, and this research is limited to obtaining information on the relationship between decision-making capability and evacuation behaviours in the form of interviews. Secondly, to simplify the complexity of individual interaction with the environment, this study did not incorporate the influence brought about by the spatial aspects of the environment into the construction of the model. However, as the morphological structure of the environmental space not only affects the movement rate of evacuees, but also the atmosphere of insecurity brought about by the damage to the environment could have an impact on the decision making of the crowd. In future research, it will be an important direction to develop and incorporate the mechanisms by which environmental space affects decision-making capability and evacuation behaviours in different dynamic disaster scenarios based on meta-analysis in order to improve evacuation prediction accuracy.  
Z.Z. ([PERSON]): Conceptualization, Methodology, Software, Formal analysis, Investigation, Writing--Original Draft, Writing--Review and Editing; Y.S.: Validation, Resources, Supervision, Funding acquisition; Z.Z. ([PERSON]): Investigation, Visualization; Y.W.: Data Curation, Validation. All authors have read and agreed to the published version of the manuscript.  
This work was supported by the National Key Research and Development Program of China (Project No. 2021 YFF0602002) and the Philosophy and Social Science Foundation of Heilongjiang Province, China (Project No. 21 GLB063). The authors would like to acknowledge the experts who participated in the study and those who provided suggestions.  
This study was approved by the School of Civil Engineering, Northeast Forestry University.  
Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.  
The data presented in this study are available on request from the corresponding author.  
The authors declare that there are no competing interest.