In　order　to　achieve　quantitative　evaluation　and　analysis　of　key　influencing　factors　on　the　competitiveness　between　regional　public　transport　and　private　car　travel,　the　information　on　the　whole　travel　time　by　public　transport　and　private　car　were　calculated　based　on　dynamic　and　static　public　transport　data,　taxi　travel　data,　travel　survey　data　and　route　planning　data.　A　competitiveness　evaluation　model　was　then　built　from　the　perspective　of　travel　time　accessibility.　Since　public　transport　competitiveness　has　spatial　effects,　a　spatial　Dubin　model　was　developed　by　using　land　use　and　transport　facility　as　explanatory　variables　to　investigate　the　impact　on　public　transport　competitiveness.　Taking　Beijing　City　as　an　example,　the　relationship　between　regional　public　transport　competitiveness　and　its　various　influencing　factors　was　analyzed　with　different　periods　of　morning,　evening,　and　peak　hours　on　weekdays.　The　results　show　that　the　average　value　of　public　transport　competitiveness　is　less　than　1.50　during　both　the　morning　and　evening　peak　periods,　while　around　1.74　during　the　flat　peak.　The　competitiveness　is　relatively　higher　in　the　city　center,　along　the　metro　lines,　and　in　the　areas　around　large　residential　communities.　The　results　also　indicate　a　clear　spatial　dependence　and　the　existence　of　typical　agglomeration　areas　of　＇low-low　agglomeration＇　and　＇high-high　agglomeration＇.　The　factors　of　land　use,　residential　service　density　and　metro　station　density　have　significant　negative　spatial　spillover　effects,　while　road　network　density　and　bypass　coefficient　show　significant　positive　spillover　effects.　The　proposed　evaluation　model　could　quantitatively　assess　the　competitiveness　of　public　transport,　and　the　model　can　explain　the　interrelationship　between　competitiveness　and　factors　taking　into　account　spatial　dependence.　©　2022　Science　Press.　All　rights　reserved.