With　the　large-scale　development　of　electric　vehicles,　it　is　of　great　significance　to　study　how　to　effectively　consider　the　travel　behavior　mechanism　of　users　and　formulate　rational　charging　prices　for　charging　stations　for　the　collaborative　optimization　and　scheduling　of　power-transportation　networks.　To　solve　this　problem,　this　paper　proposes　a　pricing　strategy　for　charging　stations　in　the　power-transportation　coupling　network　considering　the　user　travel　cost　budget.　Firstly,　a　transportation　user　equilibrium　model　considering　the　travel　cost　budget　is　established,　and　the　equilibrium　state　is　equivalently　described　through　variational　inequalities,　so　as　to　characterize　the　travel　demands　and　charging　behaviors　of　electric　vehicles.　Secondly,　a　second-order　cone　optimization　model　for　distribution　networks　considering　power　reduction　is　constructed.　The　charging　station　pricing　problem　has　been　transformed　into　an　optimization　problem　with　variational　inequality　constraints,　and　an　alternating　iteration　algorithm　combined　with　an　extra-gradient　algorithm　is　designed　to　solve　the　problem.　Finally,　the　effectiveness　of　the　proposed　model　and　methods　is　verified　through　a　case,　and　the　results　show　the　necessity　of　considering　the　travel　cost　budget　for　charging　pricing　in　coupled　networks.　©　2024　Automation　of　Electric　Power　Systems　Press.　All　rights　reserved.