The　development　of　electric　vehicles　(EVs)　is　expected　to　play　an　important　role　in　achieving　the　emission　reduction　targets　in　the　transportation　sector　by　many　countries　and　regions,　including　China＇s　dual　carbon　goals.　A　bottleneck　to　the　mass　roll-out　of　EVs　is　the　limited　charging　facilities.　This　paper　considers　the　planning　of　charging　facilities　for　a　new　developing　area　in　a　metropolis,　and　an　optimization　model　for　charging　station　planning　based　on　the　dynamic　transportation　system　is　proposed.　The　proposed　model　is　developed　using　an　objective　framework　that　considers　the　spatio-temporal　characteristics　of　EV　charging　demand　in　order　to　minimize　the　overall　cost　while　the　constraints　from　suppliers　and　drivers　are　met.　The　Voronoi　diagram　is　used　to　determine　the　final　service　boundary　of　each　charging　station,　and　the　effect　is　verified　in　the　planning　of　charge　stations　for　the　Yizhuang　new　town　in　Beijing.　The　case　study　confirms　that　the　proposed　method　can　optimize　the　charging　facilities　that　fit　well　with　the　traffic　network　conditions.　Furthermore,　it　is　shown　that　the　charging　demand　varies　in　accordance　with　the　population　density　and　regional　functionality　in　different　areas.