Adaptability Analysis of Green Technologies for Plateau Railways Based on Game Theory Combination Weighting

This study suggests a unified evaluation framework to evaluate the adaptability of green design technologies for plateau railway initiatives. We build an evaluation system that looks at four areas: External Environmental, Resource & Environmental, Socio-environmental, and Technical Feasibility. This system is needed because of the unique problems that come with high altitude, hypoxia, and ecological fragility. A new method for combining weights based on Game Theory uses both subjective (Analytic Hierarchy Process (AHP) and objective (Entropy Weight, Grey Relational Analysis) inputs to find strong indicator weights. The final ranking is done using a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model that uses these weights. The results show that the system is very adaptable overall, with Technical Feasibility and Resource & Environmental Adaptability being the best. Subsystem analysis shows that the Labor-saving and Environmental Protection systems are the most flexible. The framework does a good job of finding specific technologies that need to be improved because they are not very adaptable. Boxplots, line charts, and heatmaps are examples of visualizations that can help you understand performance distribution and find areas for improvement. This study provides a pragmatic, scientifically validated decision-support instrument for the selection and enhancement of sustainable technologies in extreme-environment railway engineering.