The　widespread　adoption　of　new　energy　vehicles　has　resulted　in　a　significant　increase　in　charging　demand,　and　it　has　become　a　key　problem　to　deeply　understand　the　charging　demand　and　reasonably　develop　electric/hydrogen　charging　station.　However,　insufficient　consideration　of　charging　behavior　uncertainty　in　existing　approaches　for　optimal　charging　station　configuration　could　result　in　poor　performance.　This　paper　presents　a　methodology　for　optimizing　the　configuration　of　electric/hydrogen　charging　stations　by　taking　into　account　the　user　behavior　characteristics.　Firstly,　a　comprehensive　mathematical　model　of　the　electric/hydrogen　charging　station　that　integrates　wind,　solar,　storage,　and　charging　is　established.　Secondly,　a　mixed　utility-regret　decision　model　is　developed　to　account　for　the　uncertainty　in　user　travel　and　charging　behavior,　which　incorporates　the　travel　chain　and　user　psychology.　Finally,　the　optimization　objective　is　solved　with　the　lowest　comprehensive　cost　of　the　charging　station.　By　comparing　the　three　cases,　the　proposed　method　can　obtain　a　reasonable　configuration　scheme,　which　can　improve　the　economy　and　flexibility　of　the　electric/hydrogen　charging　station.　©　2023　IEEE.