The　advance　of　the　dynamic　wireless　charging　technique　for　electric　vehicles　makes　the　electrified　transportation　system　to　be　the　development　trend.　On　the　other　hand,　the　interdependency　between　electricity　and　natural　gas　systems　has　been　intensified　increasingly　with　the　expansion　of　renewable　energy.　This　creates　a　critical　motivation　to　formulate　the　coordination　operation　model　for　the　integrated　electricity,　gas　and　transportation　system.　In　this　context,　a　distributionally　robust　optimization　(DRO)　model　is　proposed　considering　multiple　uncertainties　comprehensively　for　the　multi-energy　coupled　system.　Specifically,　the　traffic　flow　uncertainty　is　transformed　as　the　charging　load　uncertainty　while　the　gas　consumption　uncertainty　by　gas-fired　units　is　regarded　as　the　reserve　capacity　configuration　of　units.　Furthermore,　the　uncertainties　of　wind　power　and　charging　load　are　described　as　an　ambiguity　set　incorporating　the　distribution　information.　Then　the　master-subproblem　framework　is　developed,　and　a　combination　of　the　Benders　decomposition　and　the　transformation　technique　for　bi-level　sub-problem　is　implemented　for　solving　this　model.　Simulation　results　indicate　that　DRO　has　saved　the　operation　cost　by　5.06%　and　5.11%　for　the　6-bus　and　24-bus　systems　compared　with　the　traditional　robust　optimization　model,　which　is　beneficial　for　system　decision-makers　to　achieve　a　balance　between　the　reliability　and　economy　in　practice.　©　2020　Elsevier　Ltd