This　paper　investigates　the　optimal　design　problem　of　a　shuttle　system　provided　by　a　large-scale　community　with　the　last-mile　service　feeding　to　metro　stations.　A　mixed　integer　optimization　problem　is　formulated　to　jointly　optimize　the　route　network　and　the　service　frequency　for　each　shuttle.　This　problem　aims　to　minimize　the　total　transit　system　cost,　including　user　and　supplier　costs,　subject　to　the　constraints　on　route　length,　coverage　area,　vehicle　capacity　and　total　fleet　size.　A　solution　approach　that　consists　of　the　following　three　components　is　then　proposed.　The　first　component　is　a　network　analysis　procedure　that　assigns　the　demand　of　each　network　zone　to　a　set　of　paths　and　determines　the　service　frequency　of　each　route　with　a　fleet　size　adjusting　heuristic.　The　second　component　is　an　initial　route　network　generation　procedure,　ensuring　all　the　divided　zones　within　the　coverage　of　at　least　one　shuttle　route　with　appropriate　length.　The　third　component　is　a　genetic　algorithm　procedure　that　contains　multiple　crossover　and　mutation　operators　to　guide　the　evolving　process　of　generating　feasible　solutions.　Synthetic　and　real-world　case　studies　are　conducted　to　test　the　proposed　model　and　the　solution,　and　sensitivity　analysis　on　key　parameters　and　variables　are　also　investigated.