Following　the　boost　in　technology　in　recent　years,　electric　vehicles　have　flourished　at　an　amazing　rate　and　have　become　viable　replacements　for　gasoline　vehicles.　Accordingly,　an　urgent　need　for　optimal　land　use　planning　(LUP)　for　charging　stations　(CSs)　has　emerged.　With　the　purpose　of　satisfying　this　demand,　this　study　aims　to　solve　the　charging　station　distribution　problem　by　determining　the　suitable　number　of　chargers　in　a　station,　optimizing　the　distribution　of　CSs,　and　generating　growth　plans　in　lines　with　countries’　regulations.　First,　queuing　theory　was　used　to　determine　the　optimal　number　of　chargers　in　a　station;　the　effectiveness　was　measured　by　adopting　China　as　an　example.　Second,　in　order　to　optimize　the　area　distribution　of　CSs,　graph　theory　was　used　to　determine　the　shortest　path　using　Floyd　algorithm　(FA);　the　aptness　of　the　distribution　of　CSs　was　examined　in　parts　of　South　Korea.　Finally,　analytic　hierarchy　process　(AHP)　was　used　to　test　the　growth　plan　of　the　CS　network　in　the　U.　S.,　South　Korea,　China,　and　Cote　d’Ivoire,　considering　population　density　distributions,　wealth　distributions,　and　geographical　conditions.　©　2022,　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.