To　study　the　impact　of　land-use　factors　on　cross-line　public　transport　commuter　demand　between　Tongzhou　and　urban　areas　of　Beijing,a　spatial　econometric　model　was　used.　First,　public　transport　IC　card　data　was　used　to　obtain　transport　commuter　demand.　Second,　the　land-use　types,　transportation　facilities　and　location　factors　were　quantified　based　on　the　POI　(point　of　interest)　data　of　Beijing.　Variable　dimensions　were　reduced　in　the　factor　analysis　method　to　eliminate　redundant　variables　regarding　land-use　type,　and　eight　comprehensive　variables　of　land-use　types　are　generated.　Finally,　The　spatial　auto　regressive　model,　spatial　error　model　and　spatial　Durbin　model　of　travel　demand　and　land-use　were　established　for　the　trans-regional　commuting　origin　O　and　destination　D.　Based　on　veritfing　that　travel　demands　was　spatially　relevant.　Through　comparison,　the　spatial　Durbin　model　was　selected　for　modeling　the　relationship　between　land-use　and　public　transport　demand.　The　results　show　that　the　global　Moran＇s　index　of　public　cross-line　commuting　for　O　and　D　point　is　0.385　and　0.503.　Spatial　econometric　models　are　necessary　for　strong　spatial　correlations.　The　density　of　rail　transit　stations　plays　an　active　role　in　guiding　travel　demand　for　public　cross-line　commuting,　yielding　the　largest　influence　coefficients　of　11.56　and　9.82　for　O　and　D　point,　respectively.　The　spatial　lag　variables　for　land-use　mixing　degrees　has　the　greatest　positive　correlation　to　commuter　the　demand,　with　influence　coefficients　0.51　and　0.68　for　O　and　D　point,　respectively.　That　means　that　commuter　demand　of　the　district　is　improved　when　the　land-use　mixing　degree　is　higher.　The　positive　guidance　of　high-intensity　land-use　development　and　abundant　public　transport　resources　in　transit　travel　has　been　verified　from　the　perspective　of　spatial　measurement.　It　provides　a　quantitative　basis　for　the　analysis　of　the　interactive　relationship　between　land-use　and　demand　of　public　transport.　6　tabs,　11　figs,　25　refs.　©2018,　Editorial　Department　of　Journal　of　Chang＇an　University　(Natural　Science　Edition).　All　right　reserved.