Ice-wind hazards pose serious threats to transmission tower-line systems (TTLS), and dynamic response analysis is indispensable for elucidating the failure mechanisms of TTLS and guiding effective disaster mitigation strategies. This review elaborates on a series of dynamic response analysis methods for TTLS, covering analytical and mechanics-based methods, numerical simulation methods, stochastic and statistical methods, and methods based on artificial intelligence (AI) that show increasing potential to enhance predictive performance and computational efficiency. Detailed analyses are conducted on the fundamental assumptions, solution procedures, and uncertainty modeling of the various methods, as well as their respective methodological limitations. Finally, this review identifies key challenges associated with modeling, computation, and uncertainty quantification. Future research directions are proposed to advance intelligent and resilience-oriented strategies for the sustainable development of TTLS subjected to ice-wind loads.