With　the　increase　of　the　residents＇　commuting　distance,　the　demand　of　the　long-distance　bus　transit　rises　rapidly.　The　fluctuation　of　the　passenger　flow　along　the　long-distance　bus　line　inevitably　leads　to　the　waste　of　vehicle　resource.　The　spatial　analysis　and　quantitative　measure　of　the　long-distance　bus　are　proposed　on　the　demand.　According　to　the　route　distance,　the　bus　lines　are　classified　and　the　passengers＇　usage　rate　is　calculated.　Moreover,　the　bus　service　level　is　also　evaluated　by　both　the　overall　usage　rate　and　the　usage　dispersion　of　the　bus　line.　In　this　paper,　7　long-distance　bus　lines　in　Beijing　with　approximately　400,000　smart　card　data　records　are　taken　as　the　case　study.　This　research　can　help　to　improve　the　efficiency　of　long-distance　public　transit　and　promote　the　allocation　of　the　operation　resource.　It　can　be　applied　in　other　cities＇　public　transit　utilization　analysis　based　on　the　smart　card　system.　©　2017　ASCE.