This　paper　studies　a　robust　bus　lane　reservation　problem　with　discrete　scenarios　for　efficient　bus　transit　to　handle　uncertain　negative　traffic　impact　due　to　reserved　lanes　where　a　scenario　represents　a　possible　discretization　of　the　negative　impact　at　a　given　time　period.　The　goal　is　to　select　some　lanes　from　the　transit　network　to　be　reserved　for　time-efficient　bus　transit　while　minimizing　the　worst　total　negative　impact　over　all　scenarios.　To　solve　this　challenging　problem,　we　formulate　it　as　a　mixed-integer　linear　programming　model,　which　is　solved　using　commercial　optimization　software　package　CPLEX　12.7.　Computational　results　for　randomly　generated　instances　show　that　the　proposed　approach　is　feasible　in　solving　this　robust　bus　lane　reservation　problem　of　a　certain　scale.