Multi-source　data　of　public　transport　was　used　to　extract　the　whole　journey　chain　of　passengers,　and　data　envelopment　analysis　method　was　introduced　to　propose　a　quantitative　evaluation　method　of　bus　line　connection　effectiveness　based　on　multi-dimensional　indicators.　The　set　of　external　influencing　factors　was　established　from　the　built　environment,　traffic　conditions,　passenger　flow　conditions　and　other　aspects.　The　influence　model　of　bus　line　connection　utility　based　on　Tobit　regression　model　was　put　forward,　and　the　bus　line　in　Tiantongyuan　area　of　Beijing　was　selected　as　an　example　for　empirical　analysis.　The　results　show　that　the　proportion　of　congestion　mileage　of　bus　lines,　the　number　of　signalized　intersections　and　the　intensity　of　passenger　flow　along　the　line　have　a　significant　impact　on　the　utility　of　connecting　rail　transit　bus　lines.　©　2023　Wuhan　University　of　Technology.　All　rights　reserved.