The　rise　of　electric　vehicles　(EVs)　fosters　closer　integration　between　the　power　and　transportation　sectors.　While　implementing　a　fair　EV　charging　pricing　strategy　optimizes　the　system　economic　performance,　modeling　EV　users＇　behaviors　and　their　elastic　demand　in　response　to　charging　prices　remains　a　significant　challenge.　This　paper　proposes　a　novel　pricing　scheme　for　EV　charging　within　power-transportation　systems　using　a　trilevel　framework　that　considers　the　interactions　among　the　power　distribution　network　(PDN),　charging　network　operator　(CNO),　and　EVs.　To　capture　the　responsive　behaviors　of　EVs,　a　user　equilibrium　(UE)　model　with　price-elastic　demand　is　formulated　as　a　quasi-variational　inequality　(QVI).　This　approach　reduces　the　tri-level　pricing　problem　to　a　bi-level　optimization　problem　by　merging　the　middle　and　lower　levels　into　an　optimization　problem　with　QVI　constraints,　thereby　achieving　mathematical　tractability.　The　outer　level　optimizes　energy　dispatch　in　the　PDN,　while　the　inner　level　focuses　on　the　CNO＇s　pricing　optimization　in　response　to　elastic　EV　demand.　To　solve　the　problem,　a　projection　gradient　algorithm　and　a　tailored　fixed-point　algorithm　are　developed.　Simulation　results　confirm　the　effectiveness　and　superiority　of　the　proposed　model　and　algorithms.　Sensitivity　analysis　further　shows　that　elasticity　and　regulation　significantly　affect　system　efficiency,　demonstrating　the　model＇s　robustness　©　1969-2012　IEEE.