Environmental　problems　associated　with　socio-economic　development　have　been　growing　concerns　faced　by　many　regional　and/or　national　authorities.　However,　effective　planning　may　encounter　difficulties　since　uncertainties　existing　in　a　number　of　impact　factors　and　pollution-related　processes　are　often　not　well　acknowledged　and　reflected.　This　study　advances　an　interval-fuzzy　chance-constrained　programming　(IFCP)　method　for　planning　regional　economic　and　environmental　systems,　where　uncertainties　presented　as　intervals,　fuzzy　sets　and　probability　distributions　can　be　tackled.　The　developed　method　is　applied　to　a　real-world　case　for　economic　and　environmental　planning　in　the　New　Binhai　District　in　the　Municipality　of　Tianjin,　China.　Two　scenarios　based　on　multiple　environmental　constraints　are　examined.　The　results　can　help　identify　desired　alternatives　for　planning　regional　development　strategies,　where　compromised　schemes　are　provided　under　an　integrated　consideration　of　economic　efficiency　and　environmental　protection　under　multiple　uncertainties.　(C)　2011　Elsevier　Ltd.　All　rights　reserved.