The　transportation　mode　of　the　railway　cold　chain　has　an　essential　impact　on　operational　efficiency　and　cost.　Under　the　uncertainty　of　demand　and　limited　transportation　capacity,　an　evolutionary　game　model　of　railway　cold　chain　logistics　is　constructed　to　explain　and　analyze　the　dynamic　decision-making　processes　and　mechanisms　between　cargo　owners　and　railway　transport　enterprises.　The　results　show　that　the　evolutionary　path　and　convergence　speed　of　the　model　are　influenced　by　the　initial　value　and　its　allocation　coefficient,　cargo　volume,　additional　benefit,　and　default　cost.　By　using　Matlab,　numerical　simulation　is　conducted　to　verify　the　theoretical　assumptions　and　results.　The　conclusion　provides　a　basis　for　studying　and　managing　railway　cold　chain　logistics.　©　2023　Ling　Zhang　et　al.