Interval-valued　Fermatean　fuzzy　sets　play　a　significant　role　in　modelling　decision-making　problems　with　incomplete　information　more　accurately　than　intuitionistic　fuzzy　sets.　Various　decision-making　methods　have　been　introduced　for　the　different　classes　IFSs.　In　this　study,　we　aim　to　introduce　a　novel　two-phase　interval-valued　Fermatean　fuzzy　dominance　method　which　suits　the　decision-making　problems　modelled　under　the　IVFFS　environment　well　and　study　its　applications　in　the　adoption　of　energy　consumption　in　Urban　mobility　considering　digital　carbon　footprint.　The　proposed　method　considers　the　importance　and　performance　of　one　alternative　with　respect　to　all　others,　which　is　not　the　case　with　many　available　decision　making　algorithms　introduced　in　the　literature.　Transportation　is　one　of　the　most　significant　sources　of　global　greenhouse　gas　(GHG)　emissions.　Numerous　potential　remedies　are　proposed　to　reduce　the　quantity　of　GHG　generated　by　transportation　activities,　including　regulatory　measures　and　public　transit　digitalization　initiatives.　Decision-makers,　however,　should　consider　the　digital　carbon　footprint　of　such　projects.　This　study　proposes　three　alternatives　for　reducing　GHG　emissions　from　transportation　activities:　incremental　adoption　of　digital　technologies　to　reduce　energy　consumption　and　greenhouse　gases,　disruptive　digitalization　technologies　in　urban　mobility,　and　redesign　of　urban　mobility　using　regulatory　approaches　and　economic　instruments.　The　proposed　novel　two-phase　interval-valued　Fermatean　fuzzy　dominance　method　will　be　utilized　to　rank　these　alternative　projects　in　order　of　advantage.　First,　the　problem　is　converted　into　a　multi-criterion　group　decision　making　problem.　Then　a　novel　two-phase　interval-valued　Fermatean　fuzzy　dominance　method　is　designed　and　developed　to　rank　the　alternatives.　The　importance　and　advantage　of　the　proposed　two-phase　method　over　other　existing　methods　are　discussed　by　using　sensitivity　and　comparative　analysis.　The　results　indicate　that　rethinking　urban　mobility　through　governmental　policies　and　economic　tools　is　the　least　advantageous　choice,　while　incremental　adoption　of　digital　technologies　is　the　most　advantageous.